Found in 104 of 325 platforms tracked (32% adoption) · 394 provisions
The clause establishes AI21's operational right to incorporate user-generated data into its model development and improvement processes. The provision specifies that this authorization is subject to …
This clause establishes the operational basis for incorporating user-generated content into model development workflows. The authorization applies to all information submitted through the service, wi…
This clause establishes a non-compete restriction on the outputs and intellectual property generated through the service. It operationally constrains downstream model development activities that woul…
The provision establishes a compliance framework in which customers retain primary responsibility for output review and lawfulness rather than AWS providing pre-validated or pre-screened outputs. Thi…
This provision establishes the operational scope of Adobe's content monitoring practices and specifies the triggering mechanisms for both automated and manual review procedures. It defines the instit…
The clause establishes the operational framework for data sharing with service providers across multiple functional categories—support, analytics, and AI processing—that collectively handle recording…
The provision establishes a framework where model training use of user materials occurs as a default practice with a limited opt-out mechanism that contains carve-outs for feedback and safety-flagged…
The provision establishes a conditional data use framework where the opt-out right contains defined carve-outs. This structure means users cannot obtain complete exclusion from training data use thro…
The clause creates operational constraints on Claude's autonomous decision-making by requiring human oversight mechanisms, permission-based authorization, and conservative action protocols. These req…
The provision clarifies that the introduction of agentic capabilities does not create a separate regulatory framework; instead, it extends existing Usage Policy requirements to autonomous AI deployme…
The clause creates mandatory procedural controls for high-risk advisory applications by requiring human professional gatekeeping and consumer-facing transparency. These requirements establish operati…
This clause allocates responsibility by requiring users to warrant their authority to direct the service's actions and to provide inputs that the service can legally process. It establishes the opera…
The provision establishes a data usage framework where model training on user-generated content is the default operational practice, with carve-outs for safety-critical and user-initiated reporting s…
The provision establishes a default data use practice for model training with a conditional opt-out right, while carving out specific use cases (safety review and user-reported content) that operate …
This clause establishes the operational scope of Atlassian's data usage rights for AI and machine learning development. It permits leveraging customer-submitted and product-generated data as training…
The provision operationalizes the matching functionality as a core service delivery mechanism rather than an optional feature, and specifies the contractual necessity doctrine as the governing legal …
This provision establishes the operational scope of content use for product development and model improvement. It conditions the authorization on the availability of user controls and settings, creat…
The clause establishes a broad operational authorization for AI/ML model training using customer data across multiple institutional functions—service improvement, fraud detection, and security protec…
The clause operationalizes a broad authorization for algorithmic model development using transactional and user data. This establishes the institutional framework under which customer data feeds into…
The provision establishes Cash App's operational authority to conduct inferential data profiling beyond the raw data collected, creating derived attributes about users' creditworthiness and behaviora…
This authorization establishes the operational scope under which user data becomes input for algorithmic model development and behavioral profiling. The provision grounds Cash App's institutional use…
The clause establishes a operational basis for the company's use of user-generated conversational data as a training resource for model development and service optimization. This practice is foundati…
The provision creates a bifurcated ownership structure where users maintain nominal ownership while Character.AI obtains broad operational rights to deploy, modify, and commercialize Generated Conten…
The clause establishes that user-generated conversational and voice data constitute permitted inputs for the entity's model development and service enhancement operations, integrating user interactio…
This provision establishes the operational scope of ClickUp's data use rights for internal development and AI model enhancement. The carve-out for Data Processing Agreements creates a conditional app…
This clause establishes the operational scope of Cohere's data utilization rights and creates a mechanism for customers to restrict model training use of their data. The provision's significance depe…
This authorization establishes that user interaction data constitutes a data input for model development and service enhancement. The operational significance is that interactions are treated as trai…
The clause creates an operational requirement that model training on customer data requires documented consent rather than occurring as a default practice. This establishes a procedural gate requirin…
The clause establishes the default data handling practice for Service inputs and outputs, with an opt-out mechanism available to users who do not wish their data used for model training purposes.
This provision establishes the operational framework under which account monitoring and enforcement actions occur at scale through automated processes rather than case-by-case human evaluation. The a…
The clause establishes a default data use practice where submitted content becomes available for model training purposes, with an opt-out mechanism available through a documented request process rath…
The clause establishes the operational practice by which the platform's core functionality depends on third-party AI infrastructure, meaning user content flows to external entities as part of the sta…
The clause clarifies the operational scope of data collection within the Service's core functionality, establishing that personal data and external content references are treated as collectable Input…
The clause establishes a broad operational authorization for the company to incorporate user personal data into model training and product development workflows. This authorization applies across bot…
The clause establishes a differentiated data handling framework between free and paid service tiers. It specifies that system improvement activities are conditioned on service tier, creating distinct…
The clause establishes a data usage distinction between service tiers, whereby free tier usage generates training data for model development while paid and API users operate under different data hand…
This provision establishes a data processing practice that distinguishes free-tier users from paid subscribers, creating operational conditions under which free-tier input data is designated for inte…
The provision establishes a broad operational scope for content usage that extends beyond immediate service delivery to encompass service improvement and model development activities. This authorizat…
The provision establishes Descript's legal basis for processing user content beyond the immediate service delivery function, including the right to make content available to third-party partners. Thi…
The provision establishes transparency regarding the deployment of AI-based data processing systems within the organization's operations and documents third-party certification of responsible AI prac…
The clause establishes a broad authorization for the company to incorporate user-generated voice data into product development and model improvement processes. This operational practice directly link…
This clause establishes the operational scope of data use beyond service delivery, permitting incorporation of user-generated voice data into the AI development pipeline as a core business practice.
The provision establishes the operational basis for AI model development using customer-contributed data while creating a differentiated data use policy by plan tier. The opt-out mechanism for higher…
The clause establishes the scope of permissible uses for content inputs to AI features, extending beyond feature delivery to include model training and product development. This defines the operation…
The clause establishes a broad operational basis for data utilization beyond the immediate delivery of services, extending to product development and machine learning model training. This authorizati…
This provision establishes the operational scope of data usage for AI model development, clarifying that training purposes require affirmative user authorization rather than occurring as a default pr…
This provision establishes the operational scope of data collection and processing activities associated with AI-powered features. It clarifies that improvement of AI systems is an authorized use cas…
The clause establishes the operational scope of GitHub's data use for model development and product improvement, while providing a mechanism for users to restrict participation in AI training activit…
The provision establishes that Glean operates under two distinct data processing frameworks: one for direct customer data where Glean determines use, and one for business customer data where Glean ac…
This clause establishes the operational scope of Glean's data utilization practices for model development and service improvement purposes. The provision distinguishes between general user data and e…
This provision establishes a design and development standard for Google's AI systems, requiring bias assessment and mitigation as operational requirements rather than optional practices. It creates a…
The clause establishes that API Data becomes available for Google's internal product development and model improvement purposes by default, with user control available through an opt-out mechanism ra…
This provision establishes the operational scope of data use for model improvement and product development. The availability of a disable option creates a user-controlled mechanism to limit ongoing c…
The clause establishes user responsibility for determining what content is appropriate to submit based on Google's stated use of conversation data for model improvement purposes. This frames data han…
The provision establishes a dual operational use framework: User Content serves both as input necessary to deliver the Services and as training material for model improvement. The distinction between…
The provision establishes Grammarly's authorization to process user content for service improvement and to distribute that content to external entities for broader dissemination. This scope determine…
The clause establishes the operational basis for incorporating user content into model training workflows while creating a mechanism for users to exercise control over specific uses. This distinction…
The provision establishes a broad operational scope for content reuse by establishing that user submissions trigger licensing rights that extend beyond display and storage to include derivative uses …
The clause establishes that user inputs and outputs become part of the training dataset for model development. This allocation of content rights affects how the service operates and the scope of data…
This clause establishes the operational basis for using user-generated conversational data as training material for model development. The authorization applies to all collected information, includin…
This clause establishes the operational scope of data use for model development, permitting the company to leverage user interactions as training material for service improvement without requiring se…
The provision establishes that Instacart obtains broad rights to user content for model development and service improvement without compensation or exclusive restriction. The perpetual and transferab…
This clause allocates operational risk for AI-generated outputs to the user rather than the service provider, establishing that the user's review obligation is a condition of using autonomous feature…
The perpetual and transferable scope of this license means Instacart retains rights to user-uploaded content indefinitely and may assign these rights to other entities, enabling ongoing algorithmic d…
This clause establishes the operational scope of data use for model development purposes and creates an opt-out mechanism, allowing users to restrict their content from being incorporated into traini…
The provision's operational significance is that it permits Klarna to implement automated decision systems without requiring human review at each decision point. This authorization allows the entity …
This provision establishes the operational basis for credit determinations through automated systems rather than human review. The clause indicates that service access decisions may be made entirely …
The clause establishes the functional scope of the service's generative AI features, specifying that the platform processes facial and appearance reference data as inputs to produce generated images …
This provision establishes the operational scope of data usage for model development and improvement. The inclusion of an opt-out mechanism creates a dual framework: data usage occurs by default, wit…
This licensing grant establishes LinkedIn's operational authority to incorporate user-generated content and profile information into its service infrastructure, product development, and platform impr…
The clause establishes a broad operational authorization for the use of member-provided data as training material for AI systems across LinkedIn's service development. The provision includes a mechan…
This provision establishes the data usage scope for model training operations across LinkedIn and Microsoft systems. The authorization covers both recommendation and feature development as well as ge…
This authorization establishes a broad operational basis for LinkedIn to process personal data beyond immediate service delivery. The provision creates an institutional framework for algorithmic deve…
The clause establishes that user-generated content serves as training data for the company's AI model development. This creates an operational practice where conversations and inputs become part of t…
This clause establishes the operational framework governing Luma's rights to process and repurpose user-submitted content. The perpetual irrevocability with respect to derivative outputs creates a pe…
This clause establishes that free-tier inputs become subject to broad secondary use rights by the service provider, extending beyond the immediate service delivery to include public dissemination and…
This disclaimer allocates liability risk by establishing that Luma AI does not warrant the performance of third-party AI tools and is not liable for outcomes or actions resulting from their use. The …
The irrevocable and perpetual nature of this license establishes that Luma retains ongoing rights to inputs even after subscription termination, provided those inputs are reflected in derivative work…
The provision establishes Luma's retained rights to user-submitted content beyond the active subscription period when that content has been incorporated into derivative works, training datasets, or a…
This clause establishes that the license grant to Luma AI operates independently of account status. Once content is incorporated into Luma's systems or aggregated data before deletion, the terminatio…
This clause establishes the operational framework under which Meta's ad targeting infrastructure functions at scale. It clarifies that ad selection occurs through automated systems rather than manual…
The provision operationalizes Microsoft's responsible AI framework by creating a gatekeeping mechanism for high-risk or sensitive use cases. This establishes procedural oversight of application deplo…
Human oversight requirements create governance checkpoints within AI system operations, establishing institutional accountability structures and requiring documented review processes before certain A…
This provision defines Microsoft's regulatory compliance obligations under EU law and establishes the institutional framework through which the company will implement AI Act requirements across its p…
This provision establishes the operational scope of data collection tied to AI feature use and clarifies Microsoft's authority to repurpose collected data for both product improvement and model train…
The provision establishes operational requirements for how Microsoft structures AI training practices, including documentation and consent alignment mechanisms. These requirements define the institut…
This provision operationalizes the entity's governance framework for AI system development by establishing fairness and non-discrimination as binding commitments within product design and deployment …
This statement expresses Microsoft's commitment to fairness principles in AI system design and deployment. The operational significance is limited by the absence of specific metrics, enforcement mech…
The clause establishes the operational scope of data collection and permissible uses for AI feature interactions. It defines what categories of information Microsoft processes and the purposes—servic…
The provision establishes the operational scope of data collection and use for AI model development and service personalization. It specifies that retention of interaction data occurs as part of norm…
This provision documents Microsoft's stated commitment to fairness as a design principle for its AI systems. The clause sets an operational standard but does not establish user-accessible verificatio…
This provision articulates an accountability framework positioning human responsibility as central to the deployment of AI systems. The operational significance depends on how this principle is imple…
This provision establishes a data collection and processing framework that permits Microsoft to retain and utilize voice and AI interaction data as part of its product development and model improveme…
The clause establishes the operational scope of data collection tied to AI feature use and defines the permissible purposes for processing that data, including both service delivery and product devel…
The breadth of this license establishes Microsoft's operational rights over user content without time limitation or geographic restriction. By including processing, adaptation, and modification right…
The provision delineates the scope of data subject to Midjourney's collection and processing activities, specifically identifying user-generated inputs (prompts, images, documents) and algorithmic tr…
This license grant establishes Midjourney's authorization to incorporate user-generated content into its machine learning training processes without additional compensation, generating operational ef…
This provision establishes the operational scope of data Miro may use for AI model development and establishes an opt-out mechanism for users who do not wish their content used for this purpose. The …
This provision establishes the legal basis and scope under which Mistral AI processes customer data for model development and research purposes. It defines the conditions under which data processing …
This clause defines the conditions under which user-generated content becomes input for model training, establishing different data use regimes based on subscription tier and user action. The provisi…
The clause establishes a data utilization practice that differentiates service tiers: model training on user interactions occurs only for free-tier users who have not exercised an opt-out mechanism. …
The clause establishes a default data usage practice for model training across Mistral's free tier products, with carve-outs for commercial and enterprise offerings. This creates distinct data handli…
The clause creates a default opt-in training authorization for certain subscription tiers while establishing carve-outs for feedback data and moderation-flagged content as separate bases for model tr…
The clause establishes the operational boundaries for audio product use by defining prohibited applications and compliance obligations. It also allocates liability by disclaiming Mistral AI's respons…
The clause establishes the operational scope of data collection practices by explicitly identifying voice interaction data—including both audio recordings and their transcripts—as information Netflix…
The collection of voice data creates an additional category of personal information processing beyond typical interaction logging, requiring users to understand that voice communications with the ser…
The AI Terms establish a distinct operational framework that applies when users access AI features, separate from standard Notion service terms. This provision clarifies the contractual boundaries, d…
The clause establishes the legal basis for OpenAI to incorporate user content into model development and improvement activities. The opt-out mechanism creates a framework where content use is authori…
The clause establishes content use for model training as the operational default, creating a mechanism whereby user interactions contribute to model development unless affirmatively disabled. This st…
The clause establishes OpenAI's baseline authority to incorporate user content into model training while providing a mechanism for users to restrict this practice. The provision clarifies that safety…
The clause establishes that content submission carries an authorization for model training purposes by default, with opt-out available through specified procedures. This delineates the scope of permi…
The clause establishes a default operational practice where conversation data contributes to model training unless affirmatively disabled, creating a distinct data processing pathway separate from se…
The clause establishes a default practice where user content contributes to model training unless affirmative opt-out action is taken. This operational framework determines the scope of permitted use…
The provision establishes that OpenAI has identified and documented a specific operational risk related to how users may cognitively process interactions with the audio-enabled model, which bears on …
The clause establishes a tiered data use framework in which default-tier users' Content is incorporated into model training operations, while enterprise and API tier users receive contractual exclusi…
This provision establishes differentiated data practices across user tiers, requiring explicit opt-in consent for certain user categories before their content enters model training workflows, while e…
The clause creates a broad operational authorization for OpenAI to incorporate user content into service development and model improvement processes, while preserving user ownership and providing a m…
This risk assessment establishes the documented baseline for GPT-4o's cybersecurity capabilities and limitations as determined through OpenAI's internal evaluation framework. The Medium risk classifi…
This risk assessment directly informs the deployment authorization and ongoing monitoring protocols for the model. The medium-risk rating at launch establishes the baseline for required safety monito…
The clause establishes a default data usage practice where user content contributes to model development operations, with an opt-out mechanism available rather than an opt-in requirement. This struct…
This provision establishes the operational basis for PayPal's use of algorithmic systems in account monitoring and transaction evaluation. The authorization enables PayPal to deploy automated control…
The clause establishes the institutional basis for PayPal's use of customer data in algorithmic model development and automated determinations affecting service provision, fraud detection, and risk a…
This provision establishes the operational framework under which PayPal deploys algorithmic assessment systems for account and transaction evaluation. The authorization permits profiling analysis tha…
The clause establishes a broad operational authorization for AI model training using customer personal information as a core business function. This authorization applies across PayPal's service deli…
The clause establishes PayPal's operational authority to process personal data for model development and automated determinations regarding fraud detection, risk assessment, and service delivery. Thi…
The clause establishes that user-generated content and interaction data constitute permitted inputs for model development and refinement. This allocation of data usage rights is a core operational pa…
This clause establishes the operational scope of content rights that transfers to Perplexity upon submission. It directly authorizes the platform to repurpose user content for service improvement, pa…
This authorization establishes the operational basis for incorporating user search activity and interaction patterns into the company's model development pipeline. The provision defines the scope of …
The clause establishes the operational basis for incorporating user-generated query data into model development processes. This practice affects the scope of authorized data uses beyond providing ind…
This disclaimer establishes that Perplexity makes no representations about the reliability or correctness of AI-generated content. It allocates responsibility for output verification to the user rath…
This provision allocates operational control and accountability by defining AI Self as an autonomous agent whose behavior derives from user-directed training and instructions, rather than as a fully …
This clause establishes the operational scope of the AI processing functionality and defines what user-provided materials the Service may use as inputs to its AI systems. It also establishes the Serv…
The provision establishes the operational scope of data that the Service may use for AI processing and output generation. It authorizes creation of persistent AI-generated personas derived from user …
The clause establishes a broad operational basis for AI/ML model development using user-generated data, creating a direct link between content collection and algorithmic product improvement within th…
The clause operationally constrains permissible use cases by categorizing certain automated processing activities as outside the scope of authorized Service use. This establishes boundaries between p…
This provision establishes the scope of permitted uses for user-generated content beyond the primary service delivery. It defines a use case that extends to model development and feature enhancement …
The clause establishes the scope of Replit's rights over user-submitted content, explicitly permitting the company to repurpose content for service improvement and to extend distribution rights to th…
The clause establishes a broad grant of rights to Replit permitting incorporation of user content into model development and product improvement workflows. This authorization operates without requiri…
The provision establishes the operational framework under which the entity processes personal data for both core service functions (fraud prevention, eligibility assessment) and commercial activities…
The operational significance is that this clause defines the scope and initiation point of Revolut's data collection practices across its digital touchpoints, establishing that data collection occurs…
The clause establishes the operational framework for automated eligibility determinations while creating a procedural mechanism for users to challenge those decisions. This addresses regulatory requi…
The provision establishes that user-generated content and service outputs become available to the company as training data without temporal limitation or geographic restriction. This operational auth…
The provision establishes that user-generated content becomes available for model improvement and development purposes across Runway's product suite without additional compensation or time limitation…
The clause establishes a broad data usage framework that allows the service provider to incorporate user-generated content into its model development pipeline without additional compensation or time …
The provision establishes that data used within the service may be applied to model development as a standard operational practice, while creating a mechanism for customers to restrict this use. This…
This provision establishes the IP ownership framework governing the service relationship. By retaining ownership of both the underlying technology and generated outputs while granting only a restrict…
The clause establishes a data use practice that permits the service provider to repurpose user-submitted content for model development and enhancement, creating an operational framework under which t…
This clause establishes the company's operational authority to incorporate user-submitted content into its model development pipeline. The provision defines the scope of permitted uses for content ge…
This provision establishes the operational scope under which user-submitted content becomes input data for model development. It defines how the service provider may repurpose user interactions as tr…
The clause establishes the scope of data uses permitted under the service terms, conditioning AI feature deployment on user-configurable privacy settings. This defines the operational framework for h…
The clause establishes Stripe's operational authority to conduct behavioral profiling and risk scoring across its user base as part of fraud mitigation infrastructure. This processing activity shapes…
The cross-merchant fraud detection network establishes an operational infrastructure where transaction patterns are aggregated and analyzed to identify fraud schemes that span multiple merchants. Thi…
The provision establishes the scope of Suno's rights over submitted content by eliminating the requirement for additional licensing agreements or royalty payments for derivative uses in model develop…
The clause establishes that users bear responsibility for clearance of submission rights and grants Suno broad authorization to incorporate user-submitted content into model development and service i…
This clause establishes the operational basis for incorporating user-generated content into model training workflows. It grounds the data practice in stated legitimate business interests rather than …
This clause establishes the operational scope of how user-generated content may be applied within Synthesia's service development and model optimization processes. The provision includes an opt-out m…
This clause establishes the data collection scope and stated purpose for biometric processing (likeness and voice) that occurs conditionally upon user selection of the avatar creation feature. It def…
The clause operationalizes a tiered approach to data utilization, creating distinct contractual terms for training data use depending on subscription level. This structure ties data practice permissi…
The clause establishes differentiated data usage policies based on customer tier, creating distinct operational protocols for code utilization in model development between consumer-tier and enterpris…
This clause defines the scope of rights Tabnine acquires over user-submitted inputs, establishing that the company may process such content for service delivery and product enhancement. The sublicens…
The clause establishes a differentiated data practice based on customer tier: standard users' code may be retained for model training purposes, while Teams and Enterprise customers receive default no…
This clause establishes the operational scope of permitted data use for AI development activities and creates a conditional consent framework tied to legal requirements across different jurisdictions…
This provision establishes the operational framework under which Thomson Reuters may deploy automated decision-making systems while specifying disclosure obligations triggered by the legal or similar…
The irrevocable scope of this license means TikTok retains usage rights to content even if a user deletes their account or ceases platform participation. The explicit inclusion of machine learning an…
This license structure establishes TikTok's operational rights to deploy user content across its platform infrastructure and algorithmic systems without ongoing compensation obligations. The assignab…
The clause establishes Together AI's operational rights over user inputs and outputs, permitting the incorporation of such content into model development and service improvements without additional c…
The clause establishes that account deactivation decisions may be made through automated detection systems rather than manual review processes, creating an operational framework where algorithmic eva…
The clause establishes that platform access and earnings determinations are subject to automated decision-making processes rather than human review, which means these outcomes are generated through a…
The provision establishes the operational infrastructure through which Uber delivers its core services. Automated processes determine critical service parameters including service availability, prici…
This provision operationalizes account access controls through a hybrid verification mechanism combining automated detection with human review, establishing the procedural basis for account deactivat…
The clause establishes the scope of personal and sensitive data that Uber collects as part of its screening process for service providers. This data collection supports Uber's operational requirement…
The clause establishes a data use authorization distinct from service delivery, permitting the entity to incorporate user-generated content and interaction data into model development activities. Thi…
This authorization establishes the data pipeline through which user interactions with the service contribute to ongoing model improvement. The operational significance is that user content becomes pa…
The clause establishes the operational scope of data use for model improvement and specifies the mechanism for users to restrict such use, while conditioning service access on acceptance of the train…
The provision establishes a conditional structure where the data training practice and service access are linked operationally—the terms require users to accept data use for model training as a condi…
The provision establishes a data use practice for model improvement while creating a procedural requirement that opt-out election results in service discontinuation, creating an operational constrain…
This commitment establishes a default operational practice regarding model training data sources. It creates a procedural requirement that Writer must obtain affirmative consent before using submitte…
The clause establishes a broad operational scope for data utilization beyond direct service provision. It permits X to repurpose user data and content as training inputs for model development without…
The clause establishes the operational basis for X's use of user-generated data and platform activity data in model development and training, which directly supports the technical infrastructure for …
This clause establishes the operational scope of data use for AI system development and deployment. It creates institutional authority for Yelp to process personal information across multiple AI appl…
The clause establishes the operational basis for the platform's core matching functionality, specifying that algorithmic and machine learning processes are deployed as part of the service delivery me…
The clause creates a framework under which Zoom may incorporate user-generated and system-generated data into AI model development, with consent requirements that vary based on feature usage and appl…
The scope of this license is operationally significant because it authorizes Zoom to extract and repurpose user-generated content across multiple functions and derivative applications without per-use…
This clause establishes a consent requirement for a specific data use practice, creating an operational framework where AI model training using customer communication content requires affirmative cus…
The clause establishes a consent-based framework for a specific data use case (AI model training) while preserving administrative control mechanisms within account management systems. This creates a …
This provision establishes Zoom's authorization to incorporate customer content into AI training processes while creating a consent-dependent framework for sensitive content types (audio, video, chat…
The clause defines the operational basis for eBay's data collection practices by identifying the interaction points and activities that trigger data gathering, establishing the procedural foundation …
The clause defines the operational basis for data collection by identifying the specific touchpoints and user actions that trigger the collection of personal information within eBay's service environ…
The provision establishes the operational basis for AI21's data collection and model improvement practices, with differentiated treatment for enterprise customers whose data handling is subject to ne…
This license grant establishes AI21's operational authority to incorporate user-generated content and model outputs into service operations and product development. The royalty-free structure means u…
This clause defines a specific boundary on AWS's permitted uses of customer data within the Bedrock service. It establishes that model improvement through customer content training is excluded from A…
The clause creates a categorical restriction on a specific use case (generative AI training) while preserving Adobe's ability to use content in that manner only through the separate Stock Contributor…
The provision allocates content accountability to the user rather than to Afterpay, establishing the user as the responsible party for both the prompts provided and the resulting outputs. This affect…
The incorporation by reference creates a unified governance framework where the AI-specific terms operate as enforceable contract provisions alongside the primary service terms. This mechanism permit…
This incorporation mechanism establishes a two-document compliance framework, where the primary Acceptable Use Policy delegates specific AI/ML conduct standards to a separate policy document. The str…
This provision defines the scope of data collection within the service delivery mechanism itself, establishing that the normal operation of the platform—generating responses based on user inputs—cons…
This provision establishes that certain application categories are subject to supplementary compliance requirements beyond the primary API Usage Policy. The mechanism requires developers to identify …
The clause allocates intellectual property ownership between the parties by vesting output ownership in the customer and restricting Anthropic's use of customer content for model development. This ad…
The provision establishes a default data use authorization for model training with conditional opt-out capability, while preserving Anthropic's ability to use certain categories of user content regar…
The clause clarifies ownership allocation between parties: users maintain ownership of their input data while receiving assignment of output ownership from Anthropic. This allocation determines who h…
The provision establishes a tiered consent structure where opt-out status applies selectively—general model training respects user preference, but safety-flagged conversations and explicitly reported…
The provision establishes a default training use authorization with a limited opt-out mechanism, but the exceptions preserve Anthropic's ability to use certain material categories for model developme…
This provision creates a tiered regulatory structure in which certain application categories trigger additional compliance obligations. By designating agentic use as a controlled category, the policy…
The provision establishes a default data use authorization with a conditional opt-out structure rather than an opt-in structure. The safety-review and explicit-report carve-outs mean that the opt-out…
The clause clarifies intellectual property ownership between the parties by bifurcating rights: users own their submitted content while also acquiring ownership of generated outputs. This allocation …
The provision establishes a bifurcated data governance framework where general opt-out rights are circumscribed by carve-outs for specific use categories. This structure creates operational complexit…
This requirement establishes disclosure obligations that condition app availability on the App Store, creating a procedural mechanism for transparency about AI-generated content generation capabiliti…
The clause establishes a framework where app developers retain substantive liability for AI-generated content outputs and must implement disclosure mechanisms, creating operational requirements for a…
This provision documents the service's reliance on automated systems for core functions rather than exclusively manual human review. The operational significance lies in establishing that users inter…
This provision establishes the operational scope of data collection and processing tied to AI feature usage. It clarifies that content inputs to AI features are subject to collection and review proce…
This provision allocates responsibility for compliance and quality assurance between the service provider and the user. By disclaiming guarantees regarding AI output accuracy and reliability, the cla…
This provision allocates responsibility between the service provider and users regarding AI feature outputs. It establishes that Canva's warranties do not extend to the accuracy or fitness of AI-gene…
The provision creates a regulatory framework for AI implementation, clarifying which generative AI capabilities fall within the scope of the Cash App service agreement and establishing the operationa…
The clause establishes a broad operational basis for incorporating user data into AI/ML development activities across multiple institutional functions—from product optimization to fraud prevention an…
The provision operationalizes age-based content restriction through technical implementation of separate model versions and character access limitations, establishing a distinct service architecture …
This provision establishes the Company's authority to incorporate publicly available data into its model development and service improvement processes without requiring separate notice or consent for…
The provision establishes a framework where fraud screening operates through automated systems while preserving a procedural mechanism for appeal or escalation. The human review right creates a struc…
The clause creates a data processing workflow where AI feature inputs flow through external providers and aggregated usage patterns are retained for model development, establishing the operational sc…
This commitment has operational significance because it defines the scope of permitted data use for model development. The restriction creates a distinct data handling framework for enterprise custom…
The provision establishes the operational scope of data utilization within the service delivery model. It creates a bifurcated framework in which standard users operate under a default data use autho…
The clause establishes a conditional data use authorization tied to an explicit user configuration choice. Disabling Privacy Mode serves as the operational trigger that permits model training use of …
The clause establishes operational boundaries around the use of user-generated content for model development purposes and creates explicit carve-outs for security operations and feedback-initiated tr…
The clause creates an opt-in framework for AI model training rather than an opt-out framework, establishing that training use requires affirmative customer authorization. This defines the operational…
This provision establishes the operational scope of data collection within the service by clarifying that personal data and external content references embedded in user submissions constitute collect…
This provision defines the operational scope of data collection within the service delivery mechanism. It establishes that personal data and external content references submitted as part of the core …
This clause operationalizes the allocation of risk for AI suggestion quality by requiring users to acknowledge specific technical limitations of AI models and establishing that evaluation and risk-be…
The provision creates a default restriction on model training data sourcing while establishing explicit carve-outs for security operations and user-directed data sharing. The inclusion of a preferenc…
This provision establishes a data usage practice that differentiates the free-tier service from paid subscriptions by permitting the service provider to incorporate user-submitted content into traini…
The provision establishes the operational parameters for data use in service improvement, distinguishing between anonymized analysis permitted for all users and training data use restricted for Pro s…
This clause defines the scope of permitted data usage for a specific customer tier, establishing operational boundaries for how customer-provided content may be utilized by the service provider in mo…
The clause establishes DocuSign's operational authority to incorporate user-derived data into AI model development without requiring separate consent. This practice applies to all users whose service…
This provision establishes the operational scope of data processing methods used by the entity and identifies third-party certification status regarding AI system governance. The disclosure communica…
The clause establishes a broad operational basis for data processing beyond service delivery, permitting the organization to leverage user data as a development and improvement resource for AI and ma…
The provision establishes the operational framework through which Fiverr processes behavioral data to optimize platform engagement and service matching. This data processing practice affects how the …
The certification reference establishes that the service operates under a defined AI governance framework with documented procedures for managing AI-related risks, transparency, and compliance mechan…
This provision operationalizes Google's commitment to embed privacy, security, and IP protection into AI development processes. It establishes an institutional standard for how Google's AI systems ar…
This principle operationalizes Google's commitment to implementing accountability mechanisms within AI system design, requiring integration of feedback channels and explanation capabilities as standa…
This clause establishes Google's operational policy framework for AI development screening and go/no-go decision criteria. The provision conditions deployment authorization on risk-benefit assessment…
This provision describes Google's internal governance structure for AI deployment decisions. It establishes a procedural mechanism for evaluating high-impact applications before deployment, creating …
This provision establishes Google's operational framework for bias mitigation in AI development. It describes the institutional practices—rigorous design, testing, monitoring, and safeguards—that con…
This provision operationalizes Google's safety framework by mandating proactive testing, feedback collection, and incorporation of safety criteria into development workflows. It establishes instituti…
This provision operationalizes Google's stated commitment to responsible AI development by allocating resources toward safety research and establishing information sharing with external stakeholders.…
The clause operationalizes Google's commitment to embed privacy protections at the architecture level rather than as add-on features, requiring that data collection controls and user notification be …
The provision establishes Google's institutional approach to AI governance and serves as a statement of organizational commitments regarding AI system development. This framing sets expectations for …
The provision establishes a categorical limitation on Google's AI development scope while preserving broad authorization for military and government partnerships outside weapons development. This ope…
This provision establishes Google's internal operational commitments regarding AI safety protocols and testing methodologies, creating a documented standard for how the entity will approach risk iden…
The clause establishes a user-controllable data retention mechanism while clarifying the operational scope of that control. It delineates between long-term storage and model training (which the opt-o…
This provision establishes the operational basis for Google's use of user interaction data in AI model development and product improvement. The scope encompasses both consumer and enterprise product …
The provision establishes that conversation data and feedback constitute input for product development and improvement processes across Google's service portfolio. This authorization applies to all c…
This clause creates a scope boundary between two separate contractual frameworks, designating which agreement controls depending on the service accessed. The provision ensures that cloud service cust…
This clause establishes Hinge's authority to control which external systems and applications can access or process data and content within its platform. It creates a gating mechanism requiring affirm…
The provision establishes that profiling and automated decision-making are operational components of the service's data processing framework. By referencing external documentation rather than disclos…
This clause establishes a boundary on permissible uses of Hulu content by restricting application to AI and machine learning development workflows. The provision operates as a use restriction that ap…
This authorization establishes that user-generated content and interactions become inputs for the entity's machine learning infrastructure. The operational significance is that each user interaction …
The provision establishes Instacart's operational authority to incorporate user-generated content into AI model development and service improvement processes without additional compensation or separa…
This provision establishes the operational scope of data usage for AI development purposes, defining the types of information that may be incorporated into model training and feature development. The…
The provision creates an operational framework for continuous data collection tied to AI service improvement. This establishes the scope of data subject to collection and defines the authorized use p…
The clause establishes an institutional practice of internal access to conversation data, creating an operational mechanism whereby staff gain visibility into user interactions with the AI system as …
The provision creates explicit boundaries on the service's intended use and establishes Khan Academy's position regarding responsibility for AI output quality. This framing allocates to users the res…
The provision establishes the contractual authorization for Klarna to conduct ongoing fraud monitoring and risk evaluation activities as part of service delivery. This authorization permits the entit…
This provision establishes a broad operational basis for using customer data in AI/ML development activities beyond the primary service delivery function. The clause operationalizes data use for mode…
The provision establishes the operational scope of content usage beyond the immediate service delivery. This authorization determines how user submissions contribute to the platform's model developme…
This provision allocates responsibility by disclaiming Leonardo AI's liability for output quality, accuracy, and fitness for specific applications. It establishes that users bear responsibility for i…
This authorization establishes the operational basis for Loom's use of user-generated content and behavioral data in its product development and machine learning workflows. The provision defines a co…
The clause establishes a contractual restriction on how output generated through the service may be applied, specifically prohibiting its use in developing competing or derivative AI systems. This pr…
This authorization establishes the operational basis for incorporating user content into the company's model development pipeline, which is a core mechanism for service enhancement and capability dev…
The exclusion clarifies the scope of obligations and restrictions that attach to Derivative Works versus outputs. By categorizing model outputs outside the Derivative Works definition, the provision …
The clause establishes Microsoft's operational practice of incorporating AI feature usage data into model improvement workflows. This creates a direct connection between user interactions with AI cap…
The standard creates an internal development and deployment framework that establishes the operational requirements Microsoft teams must meet during AI system creation. This governs how Microsoft con…
The operational significance lies in establishing a governance framework where responsibility for AI system outputs remains clearly assigned rather than distributed, which affects how Microsoft struc…
The provision establishes a baseline operational commitment for AI system design and testing prior to deployment. This frames reliability and safety as design objectives integrated into Microsoft's A…
This provision establishes the organizational structure and assigns responsibility for developing and implementing responsible AI governance frameworks. The Office functions as the institutional mech…
The provision operationalizes Microsoft's governance structure for AI system deployment by mandating human review checkpoints and establishing documented accountability chains, which structures inter…
This provision functions as a declarative framework establishing Microsoft's governance position on AI ethics. The articulation of these principles provides a baseline against which Microsoft's AI pr…
The provision articulates operational commitments that govern Microsoft's internal AI development practices and quality assurance processes. These principles establish the framework within which Micr…
The provision establishes the framework and scope of Microsoft's responsible AI commitments, defining the key operational and ethical considerations that guide the company's AI development and deploy…
This provision articulates a design standard applicable to Microsoft's AI systems development. It establishes privacy protection and security resilience as specified objectives within the responsible…
This provision frames the institutional commitments that govern Microsoft's AI governance framework. The stated principles establish the operational reference points for how Microsoft describes its a…
The provision designates specific institutional units responsible for AI governance, creating operational accountability channels within Microsoft's organizational structure for AI system oversight a…
This provision creates an operational framework under which Microsoft's AI systems are designed and evaluated against fairness criteria. The clause establishes that fairness mechanisms are integrated…
This provision creates a formal governance framework that specifies Microsoft's data stewardship obligations in AI development. The operational significance lies in establishing documented standards …
The provision operationalizes Microsoft's commitment to governance requirements for AI systems by specifying multiple control mechanisms—human oversight, accuracy standards, ethical frameworks, legal…
This provision operationalizes a design and development standard for Microsoft's AI systems, establishing transparency and explainability as engineering requirements rather than optional features. It…
This provision establishes the organizational infrastructure through which Microsoft implements responsible AI governance. The dual structure creates advisory oversight (Aether Committee) and operati…
The provision frames privacy and security as architectural requirements rather than optional features, establishing institutional expectations that data-handling practices in AI systems must account …
The provision establishes an operational commitment to information disclosure that enables users and stakeholders to understand AI system functionality and constraints. This transparency framework cr…
This provision frames Microsoft's organizational commitment to AI governance across multiple dimensions. The inclusion of privacy and security as a stated principle establishes a documented standard …
The provision operationalizes Microsoft's commitment to disclose AI system functionality and reasoning to users and stakeholders, establishing procedural requirements for documentation and communicat…
The provision creates an operational framework requiring privacy and security to be embedded in AI system development and deployment rather than added post-implementation. This establishes a baseline…
Sector-specific governance references establish the operational scope and compliance baseline for how Microsoft's AI systems operate across different industries or regulatory domains. This framing al…
The provision sets an accountability framework for Microsoft's AI deployment practices, establishing that responsibility for AI system performance and conduct rests with the people and entities that …
This commitment establishes a procedural requirement for internal governance of AI system development and deployment, creating organizational obligations to systematically identify and address risks …
The clause articulates Microsoft's institutional commitment to embedding fairness assessment and bias mitigation into AI system design and deployment, establishing a framework that applies across the…
The operational significance lies in the institutional commitment to structured oversight of AI systems across Microsoft's operations. These governance mechanisms establish reporting and accountabili…
This provision establishes the institutional structure through which Microsoft coordinates responsible AI implementation across its product portfolio. The dual-entity framework creates organizational…
This provision establishes Microsoft's internal governance framework for AI development and signals institutional commitment to principle-based AI system design. The public disclosure of the standard…
This provision establishes Microsoft's operational obligations to provide transparency mechanisms that inform users of AI system involvement and functionality, establishing disclosure requirements as…
The provision articulates an organizational commitment to fairness principles in AI system design but does not establish measurable standards, benchmarks, or procedures for monitoring fairness outcom…
This provision creates an operational standard that governs how Microsoft designs, tests, and deploys AI products. The fairness commitment establishes internal procedures and accountability mechanism…
The provision creates an operational framework for Microsoft to communicate AI system characteristics and constraints, which establishes baseline expectations for user understanding of AI tool functi…
The provision establishes Microsoft's internal control mechanism for AI system development and deployment. By requiring all teams to follow a defined standard grounded in specified principles, the pr…
This provision operationalizes fairness as a design and deployment principle for Microsoft's AI systems, establishing that comparable inputs should produce comparable outputs across decision-support …
The provision operationalizes the allocation of legal risk between Microsoft and customers for AI service deployment, establishing which party bears responsibility for specified classes of AI-related…
The provision establishes the operational scope of data collection and processing beyond immediate service delivery. It defines a core business practice—using user-generated content and interaction d…
The clause defines the jurisdictional scope of the privacy policy by explicitly including data generated through the machine learning training process as personal data subject to the policy's terms, …
Incorporation by reference extends the contractual framework governing the service by making a separate document part of the binding agreement. This allows Miro to establish distinct operational requ…
The provision establishes the data sourcing mechanisms for Mistral AI's model development and specifies that training datasets may originate from third parties and public internet sources. This opera…
The provision establishes transparency regarding data sources used in model training and acknowledges that personal data may be present in training datasets despite filtration practices. This disclos…
The clause establishes the scope of data usage for model development purposes and creates carve-outs for commercial service tiers, which affects the operational distinction between free and paid offe…
The provision establishes the operational basis for Mistral AI's model training methodology and defines the sources from which training data is sourced. It establishes that personal data filtering oc…
The clause establishes a contractual boundary around permitted uses of the service and content, preventing users from leveraging Netflix materials for AI/ML research, development, or product creation…
This clause establishes operational boundaries on permissible uses of the service by restricting application of Netflix content to machine learning development activities. It functions as a use-restr…
This clause operationally prevents users from leveraging Netflix content or service interaction data as inputs for machine learning development activities. The provision's scope extends across the fu…
This provision establishes the operational scope of Notion's AI training practices and clarifies that users have a method to exclude their content from this use. The availability of an opt-out mechan…
The provision addresses operational risk management in autonomous system deployments by establishing procedural expectations for decision-making checkpoints and limiting unilateral system action when…
The provision establishes OpenAI's operational framework for ensuring predictable model behavior in production systems. Consistency mechanisms are significant for service reliability, user experience…
This provision operationally separates Enterprise and API data from OpenAI's training pipelines, which establishes distinct data handling procedures for these customer categories compared to other se…
The provision establishes an operational boundary around permissible use of OpenAI's AI systems by restricting conduct that could impair legitimate oversight mechanisms. This serves to preserve the i…
The provision establishes a tiered data usage framework where training use applies by default to non-API, non-paid-tier content, while API and premium tier users receive automatic exclusion. This str…
This provision establishes a procedural requirement that OpenAI customers implement human oversight mechanisms when deploying automated decision systems in high-impact contexts. The restriction funct…
The clause creates a gating mechanism that ties model advancement and release decisions to quantified risk assessment outcomes, establishing operational constraints on which model versions OpenAI may…
The tiered structure enables OpenAI to manage service access, resource allocation, and feature availability across different user segments through role-based access controls. This operational mechani…
This architecture allows OpenAI to implement behavioral changes unilaterally and instantaneously across all users, creating a governance mechanism that operates outside traditional notice-and-consent…
This warranty disclaimer establishes the baseline operational terms under which OpenAI delivers services, specifying that users accept the Services without guarantees regarding performance, accuracy,…
The assignment of output ownership clarifies the intellectual property rights governing user-generated outputs and establishes the user as the rights holder for their own outputs. This allocation is …
This disclaimer allocates responsibility for service quality and system integrity to the user rather than the provider. The provision establishes that users accept the services in their current opera…
The clause establishes that user-generated content and interaction data become inputs to the company's machine learning pipeline. This authorization allows the service provider to derive product impr…
The clause establishes operational boundaries around the permissible use of Replicate's services by restricting deployment of AI-driven automated decision systems and data extraction practices. This …
The clause establishes the operational basis for liability allocation between the service provider and users, specifying that quality assurance and validation of AI outputs remain user responsibiliti…
The clause establishes that user-generated content serves dual purposes: direct service delivery and model development. This authorization applies to all content submitted through the platform withou…
The clause establishes the operational scope of the company's data processing authority to extend beyond raw data collection to inferential profiling that characterizes user psychological and behavio…
The consolidation of AI Features terms into the primary User and Creator Terms establishes a unified policy framework where AI tool usage and data practices are integrated into the central agreement …
This consolidation establishes a single source of governing terms for AI Features rather than multiple documents, which clarifies the applicable provisions users and creators must reference when usin…
The provision creates operational guidelines for AI feature usage, establishing boundaries on permitted applications and use cases within the platform. This shapes how customers may implement AI-driv…
This provision establishes Salesforce's stated design principle for AI features within its products, indicating that human control and decision-making authority are integrated into the product archit…
The clause establishes a broad operational authorization for data utilization that extends beyond service delivery to include model training and feature development, creating a direct link between us…
The clause establishes the operational framework for how service data may be repurposed for AI model development, while conditioning such use on compliance with consent requirements or alternative le…
The framework creates an operational structure for managing AI-related risks, compliance requirements, and policy decisions. It establishes institutional procedures for how AI governance decisions ar…
The clause establishes the data processing categories that support Spotify's service personalization and age-gating compliance mechanisms. It defines the scope of derived data (inferences) and third-…
This provision clarifies Spotify's operational discretion in content presentation and establishes that commercial partnerships may affect the content catalog users encounter. It defines the scope of …
The provision clarifies the scope of data collection to encompass user-generated content and interactions with AI functionality, which constitutes personal data subject to Spotify's data processing p…
The clause establishes the operational basis for behavioral profiling and personalized content delivery across Steam's interface. It defines the scope of data processing Steam conducts for recommenda…
The clause establishes Strava's operational authority to process user data for AI model development across two categories: de-identified aggregated data without restrictions, and personal data subjec…
The clause establishes a direct operational basis for processing transaction data beyond real-time fraud prevention, extending to model development and refinement activities that may involve historic…
This provision clarifies the operational scope of what materials the Service collects and maintains, specifically extending storage practices to AI tool interactions. It establishes user control over…
This clause allocates risk by specifying that Tabnine makes no affirmative assurances about the service's functionality, reliability, or suitability. This disclaimer establishes the contractual basel…
This warranty disclaimer establishes that users receive the service in its current state without Tabnine's assurance regarding the quality, correctness, or suitability of AI-generated outputs. The pr…
The clause establishes a default profiling and personalization system that operates automatically upon service use, enabling the platform to segment users based on behavioral and preference data for …
This clause establishes the operational basis for TikTok's use of user-generated data and behavioral signals as inputs for artificial intelligence and machine learning development. The authorization …
Algorithmic transparency provisions establish procedural obligations for platforms to disclose the operational parameters of content distribution systems. This affects how the service communicates it…
This authorization establishes machine learning development as a core permitted use of personal data within TikTok's operational framework. The scope of the clause—covering unnamed machine learning m…
The clause establishes that the service relies on automated decision-making systems for safety screening and user matching functions, and delegates specific procedural details to a separate FAQ docum…
The collection of real-time driving performance metrics enables Uber to monitor operational compliance, safety performance, and service quality across its driver and delivery network. This data colle…
The clause clarifies the operational flow of data through AI systems: user-submitted information is used as training input for generative models, and the resulting outputs are returned to the user. T…
The provision establishes the operational scope of data processing for AI features, specifying that user-submitted content and system-generated responses constitute the data processed under this AI f…
This provision establishes a compliance framework that ties disclosure obligations to regulatory requirements rather than creating a blanket disclosure mandate. It operationalizes Vercel AI's policy …
The clause establishes the operational basis for incorporating user data into model development and algorithmic improvement processes. This authorization supports the platform's ability to refine ser…
This provision establishes that data processing may occur across multiple AI model providers regardless of user configuration. The operational significance is that data flows to third-party model pro…
The clause clarifies the classification of Prompts and Outputs within the service's information governance framework, establishing that such materials fall within the scope of Personal Information co…
The provision establishes a specific scope limitation on model training activities—restricting training to discriminative rather than generative models—while creating an operational distinction betwe…
The provision establishes a restricted use framework for user-generated autocomplete data, distinguishing between permissible discriminative applications and prohibited generative applications. This …
The provision establishes operational controls governing automated command execution in the development environment, distinguishing between default approval-required workflows and an opt-in auto-exec…
This clause establishes a procedural requirement that Writer obtain affirmative authorization before incorporating customer-submitted content into AI model training processes, creating an opt-in fram…
This provision clarifies the technical limitations of the AI system and establishes that non-uniqueness of outputs is an inherent feature of the service's machine learning architecture. The clause se…
This provision allocates responsibility for content governance to the user, establishing that X does not assume liability for the accuracy, legality, or appropriateness of user-provided inputs or ser…
This provision clarifies X's operational capacity to implement testing and experimentation protocols necessary for platform development and service optimization. It establishes the institutional fram…
This provision establishes the operational scope of Yelp's use of user-generated content and AI interactions beyond the primary service delivery function. It clarifies that content and interaction da…
This clause establishes the operational scope of AI processing activities Yelp may conduct on user-generated content and behavioral data. It specifies multiple authorized uses of AI technologies, fro…
The provision clarifies the technological basis for the platform's primary matching function and signals that algorithmic decision-making is integral to job recommendation and placement processes. Th…
This clause defines the scope of permitted use for user-generated content within Adobe's platform ecosystem, creating a categorical restriction on model training while preserving a separate authoriza…
This provision establishes a contractual representation regarding the scope of automated processing Anthropic employs. It defines a boundary on decision-making mechanisms within the service, clarifyi…
The provision operationalizes a feedback channel that enables Anthropic to receive and process user reports of model output quality concerns, which supports the entity's ongoing assessment and refine…
The provision clarifies the data retention scope for core service functions, establishing that ephemeral processing occurs without persistent storage of user interactions. This affects the operationa…
This provision defines the baseline data handling practice for model training, establishing that such use requires affirmative user authorization rather than occurring as a default service condition.…
This provision creates an operational framework requiring Google to maintain accountability structures throughout AI development and deployment, establishing procedural requirements for oversight and…
This provision articulates Google's research methodology and commitment to scientific rigor as part of its AI principles framework. The operational significance is primarily aspirational, establishin…
This provision establishes the operational framework through which Google commits to research transparency and community engagement in AI development. It creates an institutional commitment to multid…
This provision defines the operational structure of content discovery and display on the platform, specifying that algorithmic personalization and ranking mechanisms are not applied to user feeds or …
This provision establishes the organizational structure and governance mechanisms through which Microsoft operationalizes its stated responsible AI commitments. The designation of dedicated governanc…
The provision documents Microsoft's approach to operationalizing responsible AI principles through specific technical tools. This establishes the institutional framework for how responsible AI capabi…
This statement establishes Microsoft's declared operational posture regarding AI governance frameworks. It indicates the entity's commitment to engage in regulatory processes rather than operate inde…
This provision articulates Microsoft's stated commitment to AI system reliability and safety as a governance principle. It establishes performance and robustness as design objectives rather than as e…
The creation of a dedicated governance body creates organizational accountability structures for AI ethics review and policy implementation. The office functions as the institutional framework throug…
The provision documents Microsoft's institutional structure for managing AI ethics governance. It establishes a formal review process as part of the company's documented responsible AI practices, cre…
The provision articulates a design principle for AI development that establishes accessibility and broad user representation as operational considerations in system development and validation process…
This provision establishes the institutional standards that govern Microsoft's approach to AI system design, testing, and release. The principles function as operational guideposts for development an…
The provision operationalizes Microsoft's commitment to accessible AI by establishing inclusiveness as a substantive design and operational standard. This creates institutional requirements for evalu…
The provision operationalizes Microsoft's internal governance framework for responsible AI practices by creating formal institutional accountability structures and processes that support compliance w…
This provision establishes the internal governance structure through which Microsoft implements its responsible AI framework. The dual structure—a policy-setting office and an advisory committee—crea…
The provision establishes Microsoft's practice of contributing tools to the broader AI development ecosystem. This operational disclosure indicates the company's approach to promoting responsible AI …
The operational significance lies in establishing internal accountability frameworks and governance procedures that structure how Microsoft develops, tests, and monitors AI systems. This provision cr…
This provision sets forth Microsoft's operational framework for AI system development. The standard establishes the institutional basis for how Microsoft organizes its approach to AI trustworthiness …
The provision documents OpenAI's pre-deployment evaluation methodology, establishing that the model underwent structured external adversarial testing by geographically and linguistically diverse test…
The provision establishes the institutional basis for Visa's fraud prevention infrastructure, enabling real-time transaction monitoring and security processing across the payment network. This data p…
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A ai / automated decision-making clause is a provision in a platform's terms of service or privacy policy governing ai / automated decision-making-related rights, obligations, or restrictions.
ConductAtlas tracks 104 platforms with ai / automated decision-making clauses - roughly 32% of platforms in the archive. 188 are classified as high severity.
Severity reflects the magnitude of rights waived, availability of opt-out, breadth of users affected, financial or legal exposure created, and the degree of discretion retained by the platform.