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 establish new data-sharing mechanisms for users of Anthropic models on Amazon Bedrock. Specifically, AWS now explicitly authorizes notification to Anthropic of metadata present in requests sent to certain Anthropic products (e.g., Claude Code, computer use features), enabling Anthropic to conduct product-level usage attribution. Additionally, the terms introduce AWS WAF AI traffic monetization, which permits AWS to facilitate payment transactions between content publishers and buyers by sharing pricing, payment, and configuration information with payment providers and facilitators; the updated terms clarify that AWS does not provide regulated financial services and is not a party to fund flows, and that users' interactions with payment providers are governed by separate terms between the user and those parties. Users employing these features should review what metadata may be embedded in their requests and understand their own obligations to payment providers.
View change record →The updated terms establish that customers operating Amazon RDS databases on end-of-life software versions are now required to upgrade to supported versions. The agreement authorizes AWS to scan extension code used with Trusted Language Extensions for security and performance purposes, and establishes that extension code constitutes customer content. AWS disclaims responsibility for service failures caused by extensions or end-of-life database software. If a customer does not upgrade before an engine reaches end of life, AWS may snapshot the customer's data and delete the instance or cluster running the unsupported software, after providing prior notice of the engine end-of-life date.
View change record →The updated terms establish new operational requirements for any organization using Amazon Connect Talent to make or inform employment decisions. Customers must now obtain legally adequate privacy notices and consents from job applicants before their data is processed by the service. The terms require customers to review all AI output before making hiring decisions, implement processes for applicants to request information about the AI's role in decisions, and ensure their use of the tool complies with applicable labor, anti-discrimination, disability, data privacy, AI, wiretap, recordkeeping, and biometrics laws. Customers can configure an AI services opt-out policy through AWS Organizations to prevent their data from being used to train or improve AWS AI technologies.
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.
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To the maximum extent permitted by applicable law, Kit shall not be liable for any indirect, incidental, special, consequential or punitive damages, or any loss of profits or revenues, whether incurred directly or indirectly, or any loss of data, use, goodwill, or other intangible losses, resulting ...
To the maximum extent permitted by applicable law, Pinterest shall not be liable for any indirect, incidental, special, consequential, or punitive damages, or any loss of profits or revenues, whether incurred directly or indirectly, or any loss of data, use, goodwill, or other intangible losses, res...
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"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. The EU AI Act imposes obligations on providers and deployers of high-risk AI systems that may limit the extent to which providers can disclaim liability through contractual terms. Consumer protection laws in some jurisdictions may also constrain the enforceability of broad implied warranty disclaimers. The FTC's guidance on AI accountability and transparency creates a broader regulatory backdrop. GOVERNANCE EXPOSURE: High for regulated-industry customers. Organizations deploying Bedrock in healthcare, financial services, legal, or public-sector contexts bear the full operational risk of AI output errors under this disclaimer. The business impact of an inaccurate AI output (misdiagnosis, financial loss, legal error) falls entirely on the customer and any downstream parties. This is consistent with standard cloud service provider practice but requires customers to implement appropriate human oversight and error-checking mechanisms. JURISDICTION FLAGS: EU customers should assess whether this disclaimer is compatible with EU AI Act deployer obligations for high-risk AI systems, which require human oversight and cannot simply be contractually disclaimed. Some EU member states have specific consumer protection rules that may limit warranty disclaimers in B2C contexts even if the Bedrock customer is a business. California's implied warranty law and CLRA may provide additional consumer protection in consumer-facing deployments. CONTRACT AND VENDOR IMPLICATIONS: This disclaimer should be a standard flag in vendor risk assessments. Customers embedding Bedrock outputs in their own products should ensure their customer agreements include appropriate disclaimers and human review provisions to manage the liability chain. Enterprise indemnification negotiations with AWS may address some of this risk for large contract customers. COMPLIANCE CONSIDERATIONS: AI governance frameworks should include explicit policies for human review of AI outputs before use in consequential decisions, particularly in regulated industries. Organizations should document their human oversight procedures as evidence of appropriate risk management, which may be relevant to regulatory scrutiny under the EU AI Act and sector-specific AI guidance.
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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.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by AWS Bedrock.