3 Ways To Limit Risks Of Black-Box AI In Financial Services <https://www.law360.com/cybersecurity-privacy/articles/1867288?nl_pk=3dfd2fda-f577-4ca3-b044-105f63bbbdaf&utm_source=newsletter&utm_medium=email&utm_campaign=cybersecurity-privacy&utm_content=2024-08-22&read_main=1&nlsidx=0&nlaidx=9> As regulators increasingly highlight the potential for artificial intelligence to make unfair consumer credit decisions, and require financial institutions to explain how these so-called black-box algorithms arrive at conclusions, companies should consider three key questions to reduce their regulatory risks from these tools, say Jeffrey Naimon and Caroline Stapleton at Orrick. Read full article » <https://www.law360.com/cybersecurity-privacy/articles/1867288?nl_pk=3dfd2fda-f577-4ca3-b044-105f63bbbdaf&utm_source=newsletter&utm_medium=email&utm_campaign=cybersecurity-privacy&utm_content=2024-08-22&read_more=1&nlsidx=0&nlaidx=9> | Save to favorites » <https://www.law360.com/cybersecurity-privacy/articles/1867288?nl_pk=3dfd2fda-f577-4ca3-b044-105f63bbbdaf&utm_source=newsletter&utm_medium=email&utm_campaign=cybersecurity-privacy&utm_content=2024-08-22&read_later=1&nlsidx=0&nlaidx=9>