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 AI
• Google - Responsible AI Practices
• Microsoft - Responsible AI
• U.S. Department of Defense - Ethical Principles for Artificial Intelligence
• OECD Principles on AI
• Cambridge - The Role and Limits of Principles in AI Ethics: Towards a Focus on Tensions
• Nature - 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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Creators & Guests

Host

Chris Benson

Host

Daniel Whitenack

What is Practical AI?

Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more).

The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!