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Responsible AI Implement an Ethical Approach in your Organization

Langue : Anglais

Auteur :

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, IBM and NatWest Group.
  • Section - ONE: Understanding ethics for modern organizational decision-making;
    • Chapter - 01: Introduction;
    • Chapter - 02: Universal values;
    • Chapter - 03: Ethics as an AI risk mitigator;
    • Chapter - 04: The power of ethics by design;
  • Section - TWO: The three pillars of building a Responsible AI strategy;
    • Chapter - 05: How to start your Responsible AI journey;
    • Chapter - 06: People- who is building your technology?;
    • Chapter - 07: How is your technology being built?;
    • Chapter - 08: Technology- what technology are you building?;
  • Section - THREE: Making the case for Responsible AI
    • Chapter - 09: Business casing the ROI of Responsible AI;
    • Chapter - 10: Key cases of Responsible AI for business impact;
    • Chapter - 11: Benefits of Responsible AI;
    • Chapter - 12: The role of regulation in Responsible AI;
  • Section - FOUR: Responsible AI in all sizes
    • Chapter - 13: Key considerations for large enterprises;
    • Chapter - 14: Key considerations for SMEs;
  • Section - FIVE: Going forward with AI
    • Chapter - 15: The role of an AI ethicist as an integral part of the AI development team;
    • Chapter - 16: In pursuit of good tech
Olivia Gambelin is a leading 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. Gambelin works directly with business leaders on the operational and strategic development of Responsible AI, has advised multiple organizations in utilizing ethics as a decision-making tool and also advises on AI policy, governance and regulation. Gambelin is based between San Francisco, California and Brussels, Belgium.