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This second part of a two-part series on U.S. regulation of artificial intelligence systems highlights state legislation and litigation to watch concerning AI systems, and provides practical takeaways as we look toward the...more
The National Institute of Standards and Technology (NIST) recently published “A Proposal for Identifying and Managing Bias in Artificial Intelligence,” a special publication that is part of a series of documents and workshops...more
The effects of algorithmic and data biases continue to make headlines and erode public trust in artificial intelligence (“AI”). Recruiting software unfairly discriminates against women and minorities, facial recognition tools...more
In her first major remarks as Acting Chairwoman of the Federal Trade Commission (FTC), Rebecca Kelly Slaughter outlined her enforcement priorities under the new administration in a conversation with the Future of Privacy...more
Artificial intelligence (AI) technology and applications have been expanding over the last few years, and in 2021, we expect government agencies to ramp up their efforts to deal with the actual and perceived impacts of the...more
As we’ve discussed in this space previously, the effect of AI bias, especially in connection with facial recognition, is a growing problem. The most recent example—users discovered that the Twitter photo algorithm that...more
More and more organizations are beginning to use or expand their use of artificial intelligence (AI) tools and services in the workplace. Despite AI’s proven potential for enhancing efficiency and decision-making, it has...more