This week’s stash of insight in The HRIntelligencer includes an argument against using technology to eliminate bias.
The longer the hype goes on, the fluffier the material. For the most part, this week’s articles continue our routine of getting straight to the meat. But, we picked a couple for the emphatic way that they said nothing.
Highlights: 188 Examples of AI in the wild. Measuring the Progress of AI Research. AI: What’s working and What’s Not.
This week, we offer a few choice links focusing on AI ethics and accountability. Just what you need to read on a slow mid-winter’s day.
Highlights: Principles for Accountable Algorithms, Digitization and the American Workforce, and Key Qualities To Look For In AI And Machine Learning Experts.
Hightlights: Can A.I. Be Taught to Explain Itself? In 2018, the European Union will begin enforcing a law requiring that any decision made by a machine be readily explainable, on penalty of fines that could cost companies like Google and Facebook billions of dollars.
Highlights: The bidding war for qualified AI practitioners, FLUREE, the latest project from SilkRoad, Why Artificial Intelligence is Different from Previous Technology Waves, and Without Humans Artificial Intelligence Is Still Pretty Stupid, plus much more.
Highlights: Resisting Reduction: Designing our Complex Future with Machines. The AI Now Report for 2017, the State of the AI art, plus much more.
Highlights: The 10 Top Recommendations for the AI Field in 2017. Automation vs Humanization: The 21st-Century’s Two Most Powerful Trends, plus much more.
Highlights: John Sumser’s report on the current state of AI in HRTechnology on sale now. DeepMind Ethics and Society. Are We Ready For A Workforce That is 50% Freelance?
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