AI and Emerging Technologies Track: Artificial Intelligence and Ethics

Abstract

This symposium provides four papers that take perspectives on ethical issues that have emerged due to the increased usage of AI within organizations. The first paper provides an overview of algorithmic fairness and bias, and argues the importance of managerial oversight to ensure outcomes are not negatively impacted by the use of AI in decision-making. The subsequent two papers delve further into the usage of AI by managers in hiring and other forms of decision-making, providing some evidence that “managers-in-the-loop” may not be enough to eliminate bias. Lastly, given that AI may not be effectively used by people within the organization, this symposium explores how to alter AI product development to make resulting products more ethical. These papers raise important themes from nascent literature on understanding the ethical limitations of AI and managers in a firm using AI and raising awareness of the risks associated with using “big data” in AI product development, training, and usage. Algorithmic Fairness and Economics Presenter: Bo Cowgill; Columbia Business School Presenter: Catherine Tucker; Stanford U. Human vs. Machine: Biases in Hiring Decisions Presenter: Mike Horia Teodorescu; U. of Washington Presenter: Nailya Ordabayeva; Boston College Presenter: Marios Kokkodis; Boston College Unjust or Just Business?: Manager versus Employee Support for Algorithms Presenter: Mingang K. Geiger; Duquesne U. Presenter: Lily Morse; West Virginia U. Presenter: Kristin Smith-Crowe; Boston U. Presenter: Ann Tenbrunsel; U. of Notre Dame The Cost of Ethical AI Development for AI Startups Presenter: James Bessen; Boston U. Presenter: Stephen Michael Impink; NYU Stern Presenter: Lydia Reichensperger; Boston U. Presenter: Robert Channing Seamans; NYU Stern