Machine Learning's Dirty Secret - Immuta

Almost no one knows how to utilize the technology at scale. More precisely, only a very small handful of organizations truly understand how to manage the risks of machine learning (ML) when implemented widely. Those risks include navigating the legal, reputational, and ethical issues ML can create – from wildly offensive chatbots and image classifiers to furthering racial disparities amongst zip codes, and much, much more. And that's not even taking into account the deceptively complex requirement of being able to predict how ML models will behave over long periods of time, or new laws like the EU's GDPR and their impact on ML. That's why we're thrilled to partner with the Future of Privacy Forum to release the first-ever guide to managing risk in machine learning, written specifically for practitioners.