Ray Eitel-Porter, Paul Dongha, Miriam Vogel
Governing the Machine
How to Navigate the Risks of AI and Unlock Its True Potential
Ray Eitel-Porter, Paul Dongha, Miriam Vogel
Governing the Machine
How to Navigate the Risks of AI and Unlock Its True Potential
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- Produkterinnerung
At a time of rapid change, this is an examination of the safe and ethical use of AI which complies with forthcoming regulations in the UK, Europe and the US.
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At a time of rapid change, this is an examination of the safe and ethical use of AI which complies with forthcoming regulations in the UK, Europe and the US.
Produktdetails
- Produktdetails
- Verlag: Bloomsbury Publishing PLC
- Seitenzahl: 384
- Erscheinungstermin: 28. Oktober 2025
- Englisch
- Abmessung: 236mm x 157mm x 36mm
- Gewicht: 602g
- ISBN-13: 9781399426299
- ISBN-10: 139942629X
- Artikelnr.: 73333899
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: Bloomsbury Publishing PLC
- Seitenzahl: 384
- Erscheinungstermin: 28. Oktober 2025
- Englisch
- Abmessung: 236mm x 157mm x 36mm
- Gewicht: 602g
- ISBN-13: 9781399426299
- ISBN-10: 139942629X
- Artikelnr.: 73333899
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
Ray Eitel-Porter advises multinational companies and the public sector on AI governance and responsible AI. He is an Accenture Luminary and Senior Research Associate at the Intellectual Forum, Jesus College, Cambridge. He led Accenture's global Responsible AI practice and established Accenture's AI governance program. Dr Paul Dongha leads Responsible AI and AI Strategy at one of the UK's largest banks, NatWest Group. He ensures AI innovation drives value while rigorously adhering to regulations and protecting customers. Miriam Vogel is the President and CEO of EqualAI, a nonprofit supporting AI adoption by promoting AI governance and literacy, and served as inaugural Chair of the US National AI Advisory Committee, mandated by Congress to advise the President on AI policy.
SECTION 1: AI Governance to Mitigate Risks and Unlock Benefits
1. The moment we knew
2. Why is AI governance important now?
3. Whose problem is it anyway?
4. Understanding AI risk - a survey of key frameworks
5. A consolidated AI risk landscape
6. Implementing AI governance
SECTION II: How to Build an AI Governance Program
7. Principles, policies and standards
8. Accountability structure, teams and training
9. AI inventory, checkpoints and assessment process
10. Governance controls
11. AI governance platforms and tools
SECTION III: The Global Landscape of AI Regulation
12. EU laws and regulations
13. United States laws and regulations
14. Notable global legal developments
SECTION IV: The Path Forward
15. Closing thoughts
1. The moment we knew
2. Why is AI governance important now?
3. Whose problem is it anyway?
4. Understanding AI risk - a survey of key frameworks
5. A consolidated AI risk landscape
6. Implementing AI governance
SECTION II: How to Build an AI Governance Program
7. Principles, policies and standards
8. Accountability structure, teams and training
9. AI inventory, checkpoints and assessment process
10. Governance controls
11. AI governance platforms and tools
SECTION III: The Global Landscape of AI Regulation
12. EU laws and regulations
13. United States laws and regulations
14. Notable global legal developments
SECTION IV: The Path Forward
15. Closing thoughts
SECTION 1: AI Governance to Mitigate Risks and Unlock Benefits
1. The moment we knew
2. Why is AI governance important now?
3. Whose problem is it anyway?
4. Understanding AI risk - a survey of key frameworks
5. A consolidated AI risk landscape
6. Implementing AI governance
SECTION II: How to Build an AI Governance Program
7. Principles, policies and standards
8. Accountability structure, teams and training
9. AI inventory, checkpoints and assessment process
10. Governance controls
11. AI governance platforms and tools
SECTION III: The Global Landscape of AI Regulation
12. EU laws and regulations
13. United States laws and regulations
14. Notable global legal developments
SECTION IV: The Path Forward
15. Closing thoughts
1. The moment we knew
2. Why is AI governance important now?
3. Whose problem is it anyway?
4. Understanding AI risk - a survey of key frameworks
5. A consolidated AI risk landscape
6. Implementing AI governance
SECTION II: How to Build an AI Governance Program
7. Principles, policies and standards
8. Accountability structure, teams and training
9. AI inventory, checkpoints and assessment process
10. Governance controls
11. AI governance platforms and tools
SECTION III: The Global Landscape of AI Regulation
12. EU laws and regulations
13. United States laws and regulations
14. Notable global legal developments
SECTION IV: The Path Forward
15. Closing thoughts







