Insight, Idolatry, and AI I Prof. Jordan Wales
Prof. Jordan Wales examines how AI-aided decision making and bias in fields like medicine and criminal justice risk reducing human engagement to idolatrous control, urging that technology must serve authentic love and responsibility rather than rep...
September 9, 2025
53 min
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September 9, 2025
Insight, Idolatry, and AI I Prof. Jordan Wales
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53:25This episodeInsight, Idolatry, and AI I Prof. Jordan Wales
Summary
<p>Prof. Jordan Wales examines how AI-aided decision making and bias in fields like medicine and criminal justice risk reducing human engagement to idolatrous control, urging that technology must serve authentic love and responsibility rather than replace genuine insight and ethical discernment.</p><p><br /></p><p>This lecture was given on June 11th, 2025, at Dominican House of Studies.</p><p><br /></p><p>Secular campuses are being transformed, but the students need your help! Your gift before September fifteenth can launch a new TI chapter and change lives. Visit <a href="https://thomisticinstitute.org/bts25podcast" style="color: blue;" target="_blank">thomisticinstitute.org/bts25podcast</a> to give today!</p><p><br /></p><p>For more information on upcoming events, visit us at <a href="https://thomisticinstitute.org/upcoming-events" target="_blank">thomisticinstitute.org/upcoming-events</a>.</p><p><br /></p><p>About the Speakers: </p><p><br /></p><p>Jordan Wales is Associate Professor and John and Helen Kuczmarski Chair in Theology at Hillsdale College, where he teaches historical theology. His scholarship—appearing in journals such as Augustinian Studies, the Journal of Moral Theology, and AI & Society—focuses on early Christianity as well as theology and Artificial Intelligence. Holding degrees in Engineering (B.S.), Cognitive Science (M.Sc.), and Theology (Dip.Theol., M.T.S., Ph.D.), he is a member of the AI Research Group for the Centre for Digital Culture, under the Dicastery of Culture and Education at the Holy See; a fellow of the International Society for Science and Religion; and a fellow of the Centre for Humanity and the Common Good.</p><p><br /></p><p>Keywords: AI Bias, Decision Making, Ethics, Idolatry, Insight, Medicine, Neural Networks, Predictive Policing, Responsibility, Technology</p>





























