Divided into ten parts, the book covers a wide range of topics essential for responsible AI governance:
- Maps generative AI risks to specific human rights.
- Presents a framework for institutionalizing rights-respecting AI practices throughout the development lifecycle.
- Delves into responsible data governance practices.
- Examines participatory approaches to data stewardship.
- Explores the roles and responsibilities of different organizational functions in operationalizing responsible AI, emphasizing the need for cross-functional collaboration.
- Focuses on transparency and algorithmic auditing.
- Provides guidance on implementing effective multi-layered governance across the AI system lifecycle.
- Introduces maturity models for assessing an organization's responsible AI capabilities.
- Features an in-depth case study of Anthropic's innovative Constitutional AI approach.
- Analyzes emerging regulatory frameworks such as the EU AI Act and discusses the implications for businesses operating in multiple jurisdictions.
"Responsible AI in the Age of Generative Models" equips readers with the knowledge, tools, and strategies needed to unlock the transformative potential of generative models while safeguarding human rights and promoting social justice. It is an essential resource for business leaders, policymakers, researchers, and anyone concerned about the future of AI governance.
By embracing responsible AI as an imperative, we can work together to build a world where AI empowers and uplifts us all. This book is an invitation to engage in that critical conversation and take action towards a more equitable future.
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