The Practical Side of Navigating AI Risks

On the flipside of the many exciting AI innovations of the past few years we find a wide range of known and emerging risks: algorithmic bias, privacy concerns, and copyright infringement come to mind. That’s before we even begin to approach macro-level social problems, like the chance that millions of jobs might become obsolete in the not-too-distant future.

Data and ML professionals have been working hard to raise awareness of these concerns, and to come up with workable solutions that …

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