Part I. Foundation.- 1. Responsibility.- 2. AI Principles.- 3. Data.- Part II. Implementation.- 4. Fairness.- 5. Safety.- 6. Humans in the Loop.- 7. Explainability.- 8. Privacy.- 9. Robustness.- Part III. Ethical Considerations.- 10. Ethics of AI and ML.- Appendix A: References.

About the Author

Toju Duke is a Responsible AI Program Manager at Google with over 17 years of experience spanning across advertising, retail, not-for-profits, and tech industries. She designs Responsible AI programs focused on the development and implementation of Responsible AI frameworks, processes, and tools across Google’s product and research teams. Toju is also the Founder of Diverse in AI, a community interest organization with a mission to provide inclusive and diverse AI through humanity. She provides consultation and advice on Responsible AI practices to organizations worldwide.

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About the Author