Frank Pasquale, Judicial Bias, Algorithmic Accountability, and Legal Innovation

Studies suggesting judicial bias have made machine learning and artificial intelligence alluring to many. There is a great deal of marketing and disruptive technology in the field of legal innovation, however there is a parallel movement which seeks to achieve algorithmic accountability, and actively critiques these innovations. How do we reconcile the two? Frank Pasquale University of of Maryland Law Legal Ethics in the Age of Law & Tech, Centre for Ethics, University of Toronto, March 24, 2017

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A selection of interviews and talks exploring the normative dimensions of AI and related technologies in individual and public life, brought to you by the interdisciplinary Ethics of AI Lab at the Centre for Ethics, University of Toronto.