AWS places responsibility on you as the customer to ensure that whatever the AI generates for you is used legally and in compliance with AWS's policies, not on AWS itself.
This analysis describes what AWS Bedrock's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
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. This allocation of responsibility affects how disputes over output-related compliance violations would be structured.
The updated terms now explicitly state that AWS IoT SiteWise Scenario Discovery is not designed for real-time vehicle control and cannot be used as the sole basis for determining vehicle safety or regulatory compliance. Organizations deploying this service must implement independent human monitoring and safety validation before using its outputs to support vehicle system decisions. The terms make clear that AWS assumes no responsibility for uses that violate these constraints.
View change record →The updated terms establish new restrictions on how AWS Capacity Reservations may be used. Specifically, customers purchasing On-Demand Capacity Reservations can no longer resell them to other parties, and AWS reserves the right to cancel the purchase or terminate running instances if the company suspects resale activity. For Capacity Blocks for ML, the grace period before instance termination increased from 30 minutes to 60 minutes for UltraServer instance types, allowing slightly more time to complete workloads. The Amazon Sidewalk qualification program was renamed and simplified, but the underlying security and operational requirements remain in effect.
View change record →The updated terms establish a formal framework for AWS Bedrock's free exploration services, clarifying the operational boundaries and responsibilities. AWS reserves the right to discontinue these services at any time without prior notice, meaning customers cannot rely on their continuation for production planning. Customers are solely responsible for testing, deploying, and maintaining any code, documents, or AI solutions AWS provides, including determining whether those solutions comply with applicable law. AWS retains the right to develop competing products based on content it creates during these engagements, though this does not override existing non-disclosure agreements. Customers are prohibited from requiring AWS personnel to sign additional terms as a condition of receiving free services, and any such documentation signed by AWS personnel is void.
View change record →Businesses and developers using Bedrock outputs in their products or services remain fully responsible for ensuring those outputs comply with applicable law, sector-specific regulations, and AWS's acceptable use policy, which requires active legal review of AI-assisted workflows rather than passive reliance on the platform.
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CALENDLY DOES NOT ASSUME ANY RESPONSIBILITY FOR RETENTION OF ANY OUTPUT.
AI outputs may be incomplete, inaccurate, outdated, inappropriate, or inconsistent and may change over time. They are not a substitute for professional advice...You are responsible for your use of Outputs...
the Output from the Generative AI Features may not be unique across users, and the Generative AI Features may generate or return the same or similar Output to Walmart or a third party
"You are responsible for making independent assessment of your use of the outputs of Amazon Bedrock models, including ensuring your use of such outputs complies with the AWS Acceptable Use Policy and all applicable laws.Excerpt from AWS Bedrock's AWS Service Terms
REGULATORY LANDSCAPE: This provision engages emerging AI liability frameworks including the EU AI Act, which places obligations on deployers of AI systems in high-risk categories.
Enforcement risk, jurisdiction flags, contract triggers, and due diligence action items.
How Meta, TikTok, and Supabase restructured governance language across documents, jurisdictions, and consent frameworks through incremental document updates.
How 10 AI platforms describe the use of user data for model training, improvement, and development, based on archived governance provisions.
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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. This allocation of responsibility affects how disputes over output-related compliance violations would be structured.
Businesses and developers using Bedrock outputs in their products or services remain fully responsible for ensuring those outputs comply with applicable law, sector-specific regulations, and AWS's acceptable use policy, which requires active legal review of AI-assisted workflows rather than passive reliance on the platform.
ConductAtlas has identified this type of provision across 216 platforms. See the full comparison.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by AWS Bedrock.