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Gambelin O. Responsible AI. Implement an Ethical Approach...2024
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Responsible AI is a guide to how business leaders can develop and implement a robust and responsible AI strategy for their organizations.
Responsible AI has rapidly transitioned to a strategic priority for leaders and organizations worldwide. Responsible AI guides readers step-by-step through the process of establishing robust yet manageable ethical AI initiatives for any size organization, outlining the three core pillars of building a responsible AI strategy: people, process and technology. It provides the insight and guidance needed to help leaders fully understand the technical and commercial potential of ethics in AI while also covering the operations and strategy needed to support implementation.
Responsible AI breaks down what it means to use ethics and values as a modern-day decision-making tool in the design and development of AI. It conceptually covers both how ethics can be used to identify risks and establish safeguards in the development of AI and how to use ethics-by-design methods to stimulate AI innovation. It also covers the different considerations for large enterprises and SMEs and discusses the role of the AI ethicist. It is supported by practical case studies from organizations such as IKEA, Nvidia, Rolls-Royce and NatWest Group.
Acknowledgments
PART ONE
01 Defining Ethics in AI: And How Values Will Shape the Face of Success
02 Know Your Values: How to Find and Define Your Values for Responsible AI
03 The Duality of Ethics: Managing Risk and Innovation in AI
04 Calibrating the Compass: Aligning Responsible AI to Your Organization’s Objectives
05 Five Reasons Why You Shouldn’t Invest in Responsible AI: And One Reason Why You Should
PART TWO
06 The Responsible AI Blindspot You Didn’t Know You Had: And the Tool to Fix It
07 Who Is Building Your AI?: The People Driving Your Responsible AI Success
08 How Is Your AI Being Built?: The Process Making the Responsible AI Engine Run
09 What Are You Building into Your AI?: The Technical Interventions of Responsible AI
PART THREE
10 The Different Phases of Responsible AI Adoption: And How to Understand Where You Are Currently
11 Becoming a Responsible AI Enabled-Organization: How to Build a Strategy for Success
12 Who’s Responsible for Responsible AI?: How to Bring About Responsible AI Change for Your Organization
13 The Responsible AI Professional: The Roles, Responsibilities, and Structures of Working in Responsible AI
14 In Pursuit of Good Tech: Bringing Your Responsible AI Strategy to Life