looking for a quick dive into the key themes I explore in The Coming Wave? my recent chat with @DavidWestin & @RomaineBostick gives a clear summary of where I think AI is headed and what to watch out for
ETHICS
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AI Can Achieve Both Accuracy and Transparency Simultaneously
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AI Can Be Both Accurate and Transparent
#AI #AIio #BigData #ML #NLU #Futureofwork @ahier @guzmand
@DavidBrin @denisegarth @dez_blanchfield @diioannid @DioFavatas @gerald_bader http://
ow.ly/8bQx30sx0Tr -

Artificial Intelligence and Cybersecurity: Beneficial or Harmful Applications
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Artificial Intelligence And Cybersecurity: For Good Or Evil?
#AI #AIio #BigData #ML #NLU #Futureofwork @oluskayacan @richardkimphd @MariaFariello @johnpearcenews5 @ResurgentAV @rohanmuralee @globaliqx http://
ow.ly/BZux30sx0Tp -
Regulating Recursive Self-Improvement: Need for Technical Expertise
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there are some AI capabilities which need to be off limits: recursive self-improvement is one big one… and that requires technically competent – well paid! – regulators. had an excellent chat w/ @profgalloway
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Complete Transparency with Your Manager: A Game-Changing Policy
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One thing that I started doing at OpenAI is that I created a policy for myself to be *100% transparent* with my manager about everything. It seems obvious and weird to say aloud, but I bet most people don’t actually do this. But once I started doing it, I realized there are a lot
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Ethical dilemmas in self-driving cars: Building trust and safety
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How do we solve ethical dilemmas in self-driving cars? Scholars offer a solution to the trolley problem, with the aim of building trust and safety in automated vehicles. https://
stanford.io/460QMJd -
Stop producing unwanted thoughts emotions and actions
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Like useless ideas and products, there are so many thoughts, emotions, and actions that nobody wants. Don’t produce thoughts, emotions, and actions that nobody wants.
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Human-Centered AI Work Continues with Stanford and AI4ALL
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This is cool. Thank you @TIME ! Let’s continue on our work in human-centered AI! Hope is always through action! @StanfordHAI @ai4allorg
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Explainable AI Reduces Overreliance With Clear Explanations
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Contrary to the previous findings, this research shows that explainable AI may in fact reduce overreliance – but only if they’re easy-to-understand explanations.
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Kate Crawford Honored on TIME 100 AI List for AI Impact Work
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Honored to be on @TIME
's list with many friends and colleagues. Glad to see it has included the work of those addressing AI's social, political & ecological effects. https://
time.com/collection/tim
e100-ai/
… #TIME100AI