Bias in Technology: The Causes, Consequences, and Possible Solutions

bias in AI

The increasing use of automated decision-making systems and Artificial Intelligence has profound legal, ethical, and societal implications.  Algorithms are used to treat and diagnose disease, hire workers, allocate financial aid, assess college applicants, and predict crime.

On Monday February 10th at 5PM, James McKim will join UNH Law panelists at the Franklin Pierce Law School in discussing how bias can influence these algorithms, efforts to root out bias, and how the legal community should respond regarding both individual and intellectual property rights.

Registration is required for all attendants, including those on Zoom.

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