The White House Executive Order on AI
Practical AI: Machine Learning, Data Science
English - March 11, 2019 11:00 - 40 minutes - 55.8 MB - ★★★★★ - 37 ratingsTechnology Education How To changelog machine learning deep learning artificial intelligence neural networks computer vision Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
The White House recently published an “Executive Order on Maintaining American Leadership in Artificial Intelligence.” In this fully connected episode, we discuss the executive order in general and criticism from the AI community. We also draw some comparisons between this US executive order and other national strategies for leadership in AI.
The White House recently published an “Executive Order on Maintaining American Leadership in Artificial Intelligence.” In this fully connected episode, we discuss the executive order in general and criticism from the AI community. We also draw some comparisons between this US executive order and other national strategies for leadership in AI.
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Featuring:
Chris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, Website
Show Notes:
Relevant learning resources:
AI for Everyone
Intel AI list of Ethics toolkits
Government data
Federal data portal
Chicago data portal
References / notes:
The White House Executive Order
4 Experts Respond to Trump’s Executive Order on AI
Trump’s executive order on AI, explained
Trump to launch artificial intelligence initiative, but many details lacking (Science)
National AI strategies overview (Medium article)
China Is Leading in Artificial Intelligence–and American Businesses Should Take Note
China plans to be a world leader in Artificial Intelligence by 2030
Global AI talent Report
SUMMARY OF THE 2018 DEPARTMENT OF DEFENSE ARTIFICIAL INTELLIGENCE STRATEGY: Harnessing AI to Advance Our Security and Prosperity
Artificial Intelligence Is Now a Pentagon Priority. Will Silicon Valley Help?
DOD Takes Strategic Approach to Artificial Intelligence
Books
“AI Superpowers” by Kai-Fu Lee
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