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.
ChatGPT gained 100 million active users just two months after launch and has been described as the “fastest-growing consumer application in history” [ UBS]. In comparison, TikTok took nine months to reach 100 million users and Instagram took around 2.5 years. This increased awareness has been the centre of headlines, stirring panic surrounding the dangers of AI, such as: disinformation, job losses, and widening the digital and wealth divide. But how can businesses actually use AI safely and ethically, and to its full potential?
Despite AI's transformative potential for people and their organizations, public trust in AI is low. If companies wish to take full advantage of AI within their business, they must adopt and communicate a responsible approach to AI in order to build consumer, employee and stakeholder confidence. In Machines we Trust provides business leaders with practical steps to ensure that AI is created and used responsibly, minimizing the potential harm to people, society or the environment.
In Machines We Trust provides a practical guide for business leaders on implementing an effective AI compliance program, addressing the gap left by existing literature that often overlooks practical applications in favour of more theoretical discussions.
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.Muu info
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.
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
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
12. EU laws and regulations
13. United States laws and regulations
14. Notable global legal developments
15. Closing thoughts
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 Accentures global Responsible AI practice and established Accentures 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.
