There are rules about what you can and cannot build with Bedrock; prohibited uses include generating illegal content, harmful content, or content that infringes on other people's rights.
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
Violations of the acceptable use policy can result in suspension or termination of your AWS account, which could disrupt production services if your AI application is found to violate these terms.
Interpretive note: The scope of terms such as 'harmful' and 'violates third-party rights' in the context of AI-generated content involves interpretive uncertainty given evolving legal standards around AI-generated content copyright and liability.
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Customers building AI applications on Bedrock must ensure their use cases and generated content comply with AWS's acceptable use policy; violations could result in service suspension affecting any dependent applications or infrastructure.
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"You must not use Amazon Bedrock in a manner that violates the AWS Acceptable Use Policy. This includes restrictions on using the service to generate content that is illegal, harmful, or that violates third-party rights.— Excerpt from AWS Bedrock's AWS Service Terms
REGULATORY LANDSCAPE: The acceptable use restrictions interact with platform liability frameworks under Section 230 of the Communications Decency Act in the US, though Section 230 protections are less clearly applicable to AI-generated content than to user-generated content. EU Digital Services Act obligations and the EU AI Act's prohibited AI practices provisions (such as bans on certain manipulative AI systems) are also relevant for EU-facing deployments. FTC enforcement of deceptive AI practices and CFPB guidance on AI in financial services create additional compliance touchpoints. GOVERNANCE EXPOSURE: Medium. The acceptable use policy creates broad discretionary enforcement authority for AWS, including account suspension. The scope of terms like 'harmful' and 'violates third-party rights' in the context of AI-generated content involves interpretive complexity, particularly around copyright in AI outputs, which remains an area of active legal development. Customers in content generation, marketing automation, and legal services face the most nuanced exposure. JURISDICTION FLAGS: EU customers must assess whether their Bedrock use cases fall within the EU AI Act's prohibited practices categories, particularly for applications involving biometric data, social scoring, or subliminal manipulation. US customers in regulated advertising and financial services should assess FTC and CFPB guidance on AI-generated consumer communications. CONTRACT AND VENDOR IMPLICATIONS: Enterprise customers should review the AWS Acceptable Use Policy as a separate document incorporated by reference, as its terms can change and violations can trigger contract termination. SLAs and business continuity planning should account for the possibility of service suspension due to acceptable use determinations. COMPLIANCE CONSIDERATIONS: Legal teams should map planned Bedrock use cases against the current acceptable use policy before deployment. AI governance frameworks should include a review step confirming compliance with AWS's acceptable use restrictions, particularly for use cases involving potentially sensitive content generation, automated decision-making, or customer-facing AI interactions.
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Violations of the acceptable use policy can result in suspension or termination of your AWS account, which could disrupt production services if your AI application is found to violate these terms.
Customers building AI applications on Bedrock must ensure their use cases and generated content comply with AWS's acceptable use policy; violations could result in service suspension affecting any dependent applications or infrastructure.
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