Customers are granting Luma AI's automated agents authority to act on their behalf, which may have real-world consequences depending on the nature of those actions.
You acknowledge that Third-Party AI Tools may not perform as expected and that any Actions taken by Third-Party AI Tools are at your own risk.
The obligation is demand-triggered and open-ended in scope, meaning Mistral AI can at any point require Customer involvement in risk-mitigation activities governed by AI-specific regulation.
This restriction limits one specific high-risk use of Customer Data, providing a defined protection against that data being used to improve external AI systems.
The forty-eight-hour window is short and begins at the moment of awareness, placing an immediate and time-sensitive reporting burden on the Customer.
By utilizing the AI Features, you understand and accept the risks involved with the use of AI or similar technologies and agree to indemnify and hold Calendly harmless for any such Third Party Claim resulting from such usage.
Customer Data, including potentially sensitive information, leaves Calendly's environment and is processed by third parties whose separate terms and practices govern that data.
Customer is solely responsible for independently reviewing and evaluating using human judgment and oversight any Output before use, reliance or dissemination...
Any harm arising from unverified or inaccurate outputs, or from relying on those outputs as advice, falls on the Customer rather than Perplexity AI.
Customer will not use the AI Features to infringe any third-party rights or in any way that would qualify the AI Features as high-risk (or similar term) under applicable law.
The customer bears full responsibility for both what is submitted to and what is generated by the AI feature, including legal and contractual compliance.
DeepL
· DeepL Terms and Conditions
DeepL places the entire EU AI Act high-risk classification and compliance burden on the customer, with no shared responsibility for that assessment or its consequences.
Synthesia explicitly shifts legal compliance obligations for content use and generation to the Customer, insulating Synthesia from liability arising from the Customer's activities.
Customers cannot treat Outputs as authoritative or as professional advice; the burden of accuracy verification rests entirely on the customer.
Customer shall not report any Serious Incident regarding a Mistral AI Product to a Competent Authority unless required to do so by the Applicable AI Laws.
Customer is solely responsible for its Inputs and Outputs and for ensuring that reliance and use of the AI Features, including any Inputs or Outputs, complies with the terms of this Agreement...
CUSTOMER IS SOLELY RESPONSIBLE FOR MONITORING THE PERFORMANCE OF THE MODEL AND CUSTOMER IS ULTIMATELY RESPONSIBLE FOR ITS USE OF ANY MODELS OR OUTPUT TO THE FULLEST EXTENT PERMITTED BY APPLICABLE LAWS.
CUSTOMER WILL NOT RELY ON THE MODELS, OUTPUT, OR ANY RECOMMENDATION AS A SUBSTITUTE FOR ITS OWN INDEPENDENT DETERMINATIONS AND IS RESPONSIBLE FOR ANY ACTS OR OMISSIONS CUSTOMER UNDERTAKES BASED ON RECOMMENDATIONS
Customer will be solely responsible for the classification of the Custom Model under the Applicable AI Laws.
CUSTOMER IS SOLELY RESPONSIBLE FOR MONITORING THE PERFORMANCE OF THE MODEL AND CUSTOMER IS ULTIMATELY RESPONSIBLE FOR ITS USE OF ANY MODELS OR OUTPUT TO THE FULLEST EXTENT PERMITTED BY APPLICABLE LAWS.
Modal
· Modal Terms of Service
Modal bears no responsibility for the accuracy or fitness of AI Output; all risk of using unreviewed Output falls entirely on Customer.
Customer represents and warrants that Customer's use of AI Features will comply with all applicable laws and regulations, including those governing the use of generative artificial intelligence.
The provision establishes operational requirements for how Microsoft structures AI training practices, including documentation and consent alignment mechanisms. These requirements define the institutional framework Microsoft applies to govern data inputs and traceability across its AI systems.
Personal data may be incorporated into AI training processes, which can have long-lasting effects on how that data informs model behavior beyond the immediate service context.
The use of 'explore' rather than 'implement' or 'require' indicates this is an investigative or developmental effort rather than an established safeguard, which is consequential for assessing the current maturity of this control.
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 handling regimes based on service tier and connection type.
The 'substantially outweigh' standard sets a meaningful threshold above mere net-positive benefit, indicating Google commits to a higher bar before releasing AI products.
This disclosure establishes that users cannot rely on Ebb for medical or mental health guidance, which is material for users engaging with Headspace for wellness or mental health purposes.
StockX
· StockX Privacy Policy
Automated decision-making and profiling without human intervention can have significant effects on users and triggers specific rights under laws such as the GDPR for EEA residents.
ADP
· ADP Privacy Statement
This clause establishes an affirmative right to notification when automated processes — including profiling — are applied to an individual's Personal Data, providing a check on opaque algorithmic decisions.