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…mehr
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Olivia Gambelin is an AI ethicist who specializes in the practical application of ethics to technological and artificial intelligence innovation. She is the founder of Ethical Intelligence, an AI ethics advisory firm providing Ethics-as-a-Service through the world's largest network of Responsible AI practitioners. Gambelin works directly with business leaders on the operational and strategic development of Responsible AI and has advised various organizations from Fortune 500 to Series A startups across the healthcare, financial, and media sectors in utilizing ethics as a decision-making tool. In addition to her work as an ethicist, she is on the Founding Editorial Board for Springer Nature's AI and Ethics Journal, Co-Chair of IEEE's AI Expert Network Criteria Committee, and is on the Advisory Board of the Ethical AI Governance Group (EAIGG). Gambelin splits her year between San Francisco, USA where she is an active member of Silicon Valley's ecosystem of startups and investors, and Brussels, Belgium where she advises on AI policy and regulation.
Inhaltsangabe
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;
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;
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