Practical AI Ethics (Practical AI #96)
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English - July 14, 2020 14:15 - 52 minutes - 48.2 MB - ★★★★ - 28 ratingsTechnology Education How To changelog open source oss software development developer hacker Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
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!
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 – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, Website
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!