Responsible AI in the Age of Generative Models equips readers with the knowledge.

I Almeida is the Chief Transformation Officer at Now Next Later AI an AI advisory training and publishing business supporting organizations with their AI strategy transformation and governance With a wealth of experience spanning over 26 years I Almeida held senior positions at companies such as Thoughtworks Salesforce and Publicis Sapient where she advised hundreds of executive customers on digital and technology enabled Business Strategy and Transformation She is the author of several books including three AI guides with a clear aim to provide an independent balanced and responsible perspective on Generative AI business adoption I Almeida serves as an AI advisory member in the Adelaide Institute of Higher Education Cours I Almeida is the Chief Transformation Officer at Now Next Later AI an AI advisory training and publishing business supporting organizations with their AI strategy transformation and governance With a wealth of experience spanning over 26 years I Almeida held senior positions at companies such as Thoughtworks Salesforce and Publicis Sapient where she advised hundreds of executive customers on digital and technology enabled Business Strategy and Transformation She is the author of several books including three AI guides with a clear aim to provide an independent balanced and responsible perspective on Generative AI business adoption I Almeida serves as an AI advisory member in the Adelaide Institute of Higher Education Course Advisory Committee. She is a regular speaker at industry events such as Gartner Symposium SXSW and ADAPT Her latest books show her extensive knowledge and insights displaying her unique perspective and invaluable contributions to the field site_link In Responsible AI in the Age of Generative 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 Maps generative AI risks to specific human rights. Explores the roles and responsibilities of different organizational functions in operationalizing responsible AI 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 equitable future Responsible AI in the Age of Generative Models Governance Ethics and Risk Management Byte sized Learning Book 4

Responsible AI in the Age of Generative Models: Governance, Ethics and Risk Management (Byte-sized Learning Book 4) By I. Almeida

0975642219

9780975642214

English

434

Kindle Edition

.

.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: Presents a framework for institutionalizing rights respecting AI practices throughout the development lifecycle[1]

Emphasizing the need for cross functional collaboration.Focuses on transparency and algorithmic auditing.Delves into responsible data governance practices.Examines participatory approaches to data stewardship