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Staving off disaster through AI safety research

EPFL researcher El Mahdi El Mhamdi discusses AI safety vulnerabilities including poisoned datasets, hacked machines, and AI-generated propaganda in a recorded conversation from Applied Machine Learning Days.

Mar 4 · · primary fetch1 sourceupdated Mar 4 ·

While covering Applied Machine Learning Days in Switzerland, Chris met El Mahdi El Mhamdi by chance, and was fascinated with his work doing AI safety research at EPFL. El Mahdi agreed to come on the show to share his research into the vulnerabilities in machine learning that bad actors can take advantage of. We cover everything from poisoned data sets and hacked machines to AI-generated propaganda and fake news, so grab your James Bond 007 kit from Q Branch, and join us for this important conversation on the dark side of artificial intelligence. Sponsors: Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month.

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  1. share.transistor.fmStaving off disaster through AI safety researchprimary