AWS provides no warranties about the accuracy, reliability, or fitness of AI-generated outputs from Bedrock; if an AI output is wrong, harmful, or unsuitable, AWS is not legally responsible under this disclaimer.
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
This disclaimer allocation establishes the baseline warranty structure for the service by specifying that users cannot rely on implied commitments regarding the quality, suitability, or ownership status of AI-generated content, shifting the risk profile for output validation to the customer.
Interpretive note: The enforceability of broad as-is disclaimers for AI outputs may be constrained by EU AI Act deployer obligations and jurisdiction-specific consumer protection laws that limit warranty exclusions.
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 →If your business suffers losses because a Bedrock AI output was inaccurate, biased, or inappropriate, AWS's warranty disclaimer means you likely cannot recover those losses from AWS under the contract terms.
How other platforms handle this
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WE CANNOT AND DO NOT REPRESENT OR WARRANT THAT OUR SERVICES OR SERVERS ARE FREE OF VIRUSES OR OTHER HARMFUL COMPONENTS. YOU ASSUME THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE SERVICES.
The Netflix service and/or some of the Netflix content may not be available at any time as a result of events beyond our reasonable control...we will not be held liable should such events occur.
"THE AMAZON BEDROCK SERVICE IS PROVIDED 'AS IS' AND AWS DISCLAIMS ALL WARRANTIES, EXPRESS OR IMPLIED, INCLUDING WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT WITH RESPECT TO AI-GENERATED OUTPUTS.Excerpt from AWS Bedrock's AWS Service Terms
REGULATORY LANDSCAPE: Broad as-is disclaimers in AI service agreements are standard industry practice but may interact with emerging AI liability frameworks.
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This disclaimer allocation establishes the baseline warranty structure for the service by specifying that users cannot rely on implied commitments regarding the quality, suitability, or ownership status of AI-generated content, shifting the risk profile for output validation to the customer.
If your business suffers losses because a Bedrock AI output was inaccurate, biased, or inappropriate, AWS's warranty disclaimer means you likely cannot recover those losses from AWS under the contract terms.
ConductAtlas has identified this type of provision across 286 platforms. See the full comparison.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by AWS Bedrock.