AWS is focused on responsibly developing generative AI, prioritizing safety, fairness, and security through innovations like Amazon CodeWhisperer with security scanning, Amazon Titan for content management, and privacy with Amazon Bedrock. Collaborations, customer engagement, and new tools like Guardrails and Model Evaluation on Amazon Bedrock enable safe scaling of AI, embedding safeguards against disinformation and offering indemnification for responsible use. AWS continues to enhance transparency with AI Service Cards and invests in responsible AI across the lifecycle. (Word count: 49)
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Embracing Responsible AI Innovation at AWS
Generative AI is growing rapidly, bringing both innovative solutions and new challenges. AWS is dedicated to a people-centric approach to develop AI responsibly, focusing on education, science, and customer integration throughout the AI lifecycle.
Recent Advances in AI Safety and Responsibility
AWS has launched new features to enhance safety and transparency in AI applications:
- Amazon CodeWhisperer: Security scanning integrated.
- Amazon Titan: Training to block harmful content.
- Amazon Bedrock: Data privacy protections.
Collaboration with global communities and support for initiatives like the White House Voluntary AI commitments and the AI Safety Summit in the UK are part of our commitment.
New Capabilities for Responsible AI
At AWS re:Invent, we announced tools and resources to help customers evaluate AI models against considerations such as toxicity and robustness, and to apply safeguards tailored to their use cases and policies.
Implementing Safeguards: Guardrails for Amazon Bedrock
Guardrails for Amazon Bedrock provide easy implementation of application-specific safeguards to promote safe AI interactions that align with company policies.
Identifying the Best FM for Your Use Case: Model Evaluation in Amazon Bedrock
Model Evaluation on Amazon Bedrock allows customers to evaluate and select the best FMs for their specific needs, balancing accuracy and safety.
Combating Disinformation: Watermarking in Amazon Titan
Amazon Titan Image Generator includes invisible watermarking to help identify AI-generated images and reduce the spread of disinformation.
Building Trust: Indemnification for Our Models and Applications
AWS offers copyright indemnity coverage for responsible use of certain Amazon generative AI services, protecting customers from third-party copyright infringement claims.
Enhancing Transparency: AWS AI Service Card for Amazon Titan Text
The AWS AI Service Card for Amazon Titan Text and other services provides detailed information on use cases, limitations, and best practices for responsible AI deployment.
Investing in Responsible AI Across the Entire Generative AI Lifecycle
AWS continues to invest in responsible AI, offering tools and resources for safe and secure AI integration, and building trust across the technology ecosystem.
About the Authors
Peter Hallinan and Vasi Philomin are leading experts at AWS AI, driving initiatives in responsible generative AI development and applications.
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