GitHub
· GitHub Terms of Service
By incorporating the Privacy Statement by reference, the provision establishes a two-document governance structure where data practices are defined outside the primary Terms of Service agreement. This creates a requirement that users reference an external document to understand the full scope of data handling obligations and authorizations.
This provision incorporates the Privacy Policy by reference, meaning users consent to data practices described in a separate document, which creates a compliance dependency on the Privacy Policy's content and any future updates to it.
By incorporating the Privacy Policy through reference rather than restating terms inline, this provision establishes a single authoritative source for data handling obligations. The clause structure makes privacy terms dynamic, as modifications to the linked policy apply to continued service use without requiring separate user acceptance.
The provision establishes the operational framework for continuous data collection across the Eventbrite platform through automated tracking technologies. This collection mechanism applies to all users of the service and feeds into Eventbrite's data practices as detailed in the Privacy Policy.
Asana
· Asana Terms of Service
By accepting these terms, you also agree to the Privacy Policy, which governs how Asana collects, uses, and shares your personal and usage data. Reviewing the Privacy Policy separately is important for understanding the full scope of data practices.
This incorporation mechanism creates a binding relationship between two separate policy documents, making the privacy practices outlined in the Privacy Statement enforceable contractual obligations under the Terms of Use. The clause establishes that consent to data handling practices is a condition of service access.
The clause establishes the mechanism by which Apple obtains permission to gather and process diagnostic and usage information, and defines the permissible uses of that data within the service delivery framework.
SoFi
· SoFi Terms of Service
Because SoFi operates across banking, lending, and investment services, it collects a wide range of financial and personal data; the incorporation of a separate Privacy Policy by reference means users must review both documents to understand the full scope of data practices.
The clause creates a framework where data practices are governed by a separate, referenced document rather than detailed within the primary agreement, allowing the Privacy Notice to be updated independently while maintaining contractual incorporation through the consent mechanism.
SoFi
· SoFi Terms of Service
This provision establishes that data collection, use, and sharing practices are governed by a separately published Privacy Policy that is legally incorporated into the Terms of Use, meaning the full scope of SoFi's data practices requires review of both documents together.
The provision operationalizes Microsoft's data processing practices by requiring users to review the Privacy Statement for specifics on data types, usage purposes, and legal bases for processing. It establishes consent as the mechanism for data handling activities covered by the referenced privacy policy.
The clause incorporates Apple's Privacy Policy by reference as a binding contractual document, making the specific data practices and sharing arrangements described in that policy legally operative terms of the service agreement rather than standalone policy.
By incorporating multiple documents by reference, this clause creates a unified contractual framework where obligations, restrictions, and disclosures are distributed across several documents rather than consolidated in a single instrument. This structure requires users to consult multiple sources to understand the full scope of their rights and obligations.
The terms confirm that prompts, uploaded files, and AI outputs are collected by Google and subject to its Privacy Policy; users who want to understand the full scope of data collection and retention should review both this document and the Google Privacy Policy.
The clause establishes a use restriction that addresses misrepresentation in human-AI interactions, requiring users to maintain transparency about the AI nature of communications and restricting deceptive presentation of API-generated content as human-authored.
The explicit prohibition on biometric and neural data misuse is particularly significant as these data categories carry heightened legal protections in multiple jurisdictions, and the impersonation prohibition has direct implications for AI chatbot deployments that do not disclose their non-human nature.
The clause establishes a content restriction that governs permissible use of the Mistral AI platform by requiring consent before outputs can incorporate identifiable characteristics of third parties. This provision defines the boundaries of acceptable content generation within the service.
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 against which the company's AI systems and practices are evaluated within its responsible AI framework.
Ring
· Ring Privacy Notice
The operational significance of this clause is limited, as it articulates a general design principle rather than establishing enforceable obligations or specific privacy protections. The statement functions as a policy orientation rather than a mechanism that defines user rights or data handling procedures.
Microsoft
· Microsoft Responsible AI Standard
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 AI framework, creating an operational expectation for system architecture and implementation.
The clause articulates a design principle requiring AI systems to incorporate privacy and security considerations as foundational operational requirements, particularly given AI's expanding capacity to derive inferences from data that may substantively impact users.
This provision acknowledges the applicability of privacy laws to AI systems and states that data collection, use, and storage in AI contexts should be transparent and subject to user control, which engages GDPR, CCPA, and similar frameworks depending on jurisdiction.
The provision sets operational expectations for AI development practices within the entity's framework, establishing that privacy protection and security are foundational design requirements rather than post-deployment additions.
Microsoft
· Microsoft Responsible AI Standard
This provision defines Microsoft's operational framework for managing privacy and security risks in AI deployments. It establishes baseline expectations for how personal data is protected and how AI systems are secured against unauthorized access or misuse.
Microsoft
· Microsoft Responsible AI Standard
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 requirement for how Microsoft's AI products must be architected and maintained.
This provision describes Microsoft's stated approach to personal data handling within AI systems, which affects how personal data provided to or processed by Microsoft AI products such as Copilot is collected, retained, and used.
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 for both operational necessity and protective measures. This sets a standard for how organizations should structure AI systems that rely on data access.
This establishes Google's operational commitment to integrate privacy considerations throughout the AI development lifecycle rather than as an afterthought, and commits the entity to transparency and consent mechanisms as part of its standard AI governance practices.
This provision operationalizes privacy governance by requiring systematic integration of data protection measures into product development cycles, establishing privacy as a foundational design requirement rather than a compliance obligation applied post-deployment.
Minecraft
· Minecraft End User License Agreement
Users need to read the Microsoft Privacy Statement separately to understand how their data is collected, used, and shared, as this EULA does not contain those details.