Staving off disaster through AI safety research

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.

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Featuring:

• El Mahdi El Mhamdi – Website • , X • Chris Benson – Website • , GitHub • , LinkedIn • , X Show Notes:

El Mahdi El Mhamdi on LinkedIn Google Scholar Personal blog World Health Organization | Ten threats to global health in 2019 AggregaThor The Hidden Vulnerability of Distributed Learning in Byzantium Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent Asynchronous Byzantine Machine Learning (the case of SGD)

Something missing or broken? PRs welcome!