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FINALIST: American Book Fest Best Book Awards 2024 - Business: Technology
WINNER: Independent Press Award 2025 - Technology
WINNER: Axiom Business Book Award 2025 - Bronze Medal, Emerging Trends/AI
WINNER: 2024 Foreword Indies Book of the Year - Bronze, Science & Technology
FINALIST: 2025 International Book Awards (IBA) - Business: Technology

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.

정보제공 :

** Chapter - 01: Defining ethics in AI – and how values will shape the face of success; ** Chapter - 02: Know your values – how to find and define your values for responsible AI; ** Chapter - 03: The duality of ethics – managing risk and innovation in AI; ** Chapter - 04: Calibrating the compass – aligning responsible AI to your organization’s objectives; ** Chapter - 05: Five reasons why you shouldn’t invest in responsible AI – and one reason why you should; ** Chapter - 06: The responsible AI blindspot you didn’t know you had – and the tool to fix it; ** Chapter - 07: Who is building your AI—– the people driving your responsible AI success; ** Chapter - 08: How is your AI being built—– the process making the responsible AI engine run; ** Chapter - 09: What are you building into your AI—– the technical interventions of responsible AI; ** Chapter - 10: The different phases of responsible AI adoption – and how to understand where you are currently; ** Chapter - 11: Becoming a responsible AI enabled-organization – how to build a strategy for success; ** Chapter - 12: Who’s responsible for responsible AI—– how to bring about responsible AI change for your organization; ** Chapter - 13: The responsible AI professional – the roles, responsibilities, and structures of working in responsible AI; ** Chapter - 14: In pursuit of good tech – bringing your responsible AI strategy to life; ** Chapter - 15: References;