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.Sponsors:Linode – Our cloud server of choice. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to linode.com/changelogRollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com. Featuring:El Mahdi El Mhamdi – Website, XChris Benson – Website, GitHub, LinkedIn, XShow Notes:El Mahdi El Mhamdi on LinkedInGoogle ScholarPersonal blogWorld Health Organization | Ten threats to global health in 2019AggregaThorThe Hidden Vulnerability of Distributed Learning in ByzantiumMachine Learning with Adversaries: Byzantine Tolerant Gradient DescentAsynchronous Byzantine Machine Learning (the case of SGD)Upcoming Events: Register for upcoming webinars here!