A new framework for keeping AI accountable
Picture this: a hospital AI that starts accurate but gradually becomes biased against certain patient groups. A recommendation algorithm that slowly creates echo chambers. An autonomous vehicle network where safety degrades over months of real-world operation. These aren’t hypothetical scenarios—they’re the reality of deploying AI systems that interact with humans and evolve over time. A…
