Practical AI Ethics

The multidisciplinary field of AI Ethics is brand new, and is currently being pioneered by a relatively small number of leading AI organizations and academic institutions around the world. AI Ethics focuses on ensuring that unexpected outcomes from AI technology implementations occur as rarely as possible. Daniel and Chris discuss strategies for how to arrive at AI ethical principles suitable for your own organization, and what is involved in implementing those strategies in the real world. Tune in for a practical AI primer on AI Ethics!

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Featuring:

• Chris Benson – Website • , GitHub • , LinkedIn • , X • Daniel Whitenack – Website • , GitHub • , X Show Notes:

Practical AI episode 85: Achieving provably beneficial, human-compatible AIGoogle - Responsible AI PracticesMicrosoft - Responsible AIU.S. Department of Defense - Ethical Principles for Artificial IntelligenceOECD Principles on AICambridge - The Role and Limits of Principles in AI Ethics: Towards a Focus on TensionsNature - Principles alone cannot guarantee ethical AI Books

“Artificial Intelligence” by Stuart Russell and Peter Norvig“Human Compatible” by Stuart Russell Something missing or broken? PRs welcome!

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