Responsible Use of AI Guide

2024

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AI-generated summary

1) This guide helps organizations proactively mitigate risks and build trust by establishing comprehensive responsible AI principles and practices across the entire technology lifecycle.
2)
- Best practices and considerations for building organizational awareness, foundations, and scaling responsible AI capabilities across developer, deployer, and end-user roles.
- Lifecycle-specific recommendations covering design, development, deployment, and ongoing operation of AI and generative AI systems.
- Guidance on data curation, risk assessment, bias monitoring, model transparency, and implementing safeguards like content authentication and human oversight.
3) Tags: Artificial Intelligence, Responsible AI, AWS, Machine Learning, Governance

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