We Still Have a Lot to Learn | Inside AI Week | Ep.02 | Intel Software

We Still Have a Lot to Learn | Inside AI Week | Ep.02 | Intel Software

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Biases – how do we fight them in AI space? Shouldn't we all apologize for the backfire AI is giving us nowadays?

Those bad behaviors of AI models that we teach them – this is very often a mirror to our self-opinion and beliefs. Many AI models are biased and that’s a fact nowadays but the real question here is – how to get rid of that bias? And what about their copyrights? Should we grant them to the Artificial Intelligence machines?

Join us by sending your own news on inside.ai.week@intel.com!

Facebook Apologizes After A.I. Puts ‘Primates’ Label on Video of Black Men: https://www.nytimes.com/2021/09/03/technology/facebook-ai-race-primates.html

AI system cannot be named in patent application, U.S. court rules: https://texasnewstoday.com/ai-system-cannot-be-named-in-patent-application-u-s-court-rules/446853/

Using adversarial attacks to refine molecular energy predictions: https://news.mit.edu/2021/using-adversarial-attacks-refine-molecular-energy-predictions-0901

Introducing Triton: Open-Source GPU
Programming for Neural Networks https://openai.com/blog/triton/

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We Still Have a Lot to Learn | Inside AI Week | Ep.02 | Intel Software




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