Responsible AI in the Age of Generative Models: Governance, Ethics and Risk Management. Byte-Sized Learning Series
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- FormatePub
- ISBN978-0-9756422-1-4
- EAN9780975642214
- Date de parution19/03/2024
- Protection num.Adobe DRM
- Infos supplémentairesepub
- ÉditeurNow Next Later AI
Résumé
In "Responsible AI in the Age of Generative Models: Governance, Ethics and Risk Management" we present a comprehensive guide to navigating the complex landscape of ethical AI development and deployment. As generative AI systems become increasingly powerful and ubiquitous, it is crucial to develop …
In "Responsible AI in the Age of Generative Models: Governance, Ethics and Risk Management" we present a comprehensive guide to navigating the complex landscape of ethical AI development and deployment. As generative AI systems become increasingly powerful and ubiquitous, it is crucial to develop governance frameworks that mitigate potential risks while harnessing the technology's transformative potential.
This book presents a rights-based approach, grounded in established human rights frameworks, to align AI systems with societal values and expectations. 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.
This book presents a rights-based approach, grounded in established human rights frameworks, to align AI systems with societal values and expectations. 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.
