Shared Links (weekly) Dec. 7, 2025
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In the age of AI, though, this might be the high-priority risk. That old, untrustworthy, and outdated information that no one ever bothered to clean up is actively messing up your AI implementation. Your attempt to be a data-driven business depends on having accurate data. That becomes difficult to do when you’re not actively cleaning up after yourself.Â
How Should Smart Ediscovery Professionals Prepare for Smart Cities? We Teach A.I. Systems Everything, Including Our Biases Crappy Passwords Are Here to Stay Sorry, but I’ve lost my faith in tech evangelism – Interesting thoughts on #AI and #FacialRecognition for sure. Why Machine Learning Is Still Dumb In eDiscovery, a Sense of Humor Helps Internal…