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!Sponsors:Linode – Our cloud of choice and the home of Changelog.com. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to linode.com/changelog. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow 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 AIBooks“Artificial Intelligence” by Stuart Russell and Peter Norvig“Human Compatible” by Stuart RussellUpcoming Events: Register for upcoming webinars here!