AI and Employment Discrimination

Описание: AI has assumed a significant role in hiring processes across many industries but can result in discrimination if not developed with care. Discrimination can enter the AI-powered hiring processes in three ways: targeting and optimizing job advertising to specific demographic groups, job recruiters relying on biased data sets, and resume screening algorithms reflecting common human biases. In response to these issues, we can adopt different regulatory approaches, such as seeking informed consent of the job applicant, defining best practices for AI-driven hiring software, and mandatory audits of algorithms used in hiring.

Manish Raghavan is an Assistant Professor in the Sloan School of Management and the Department of Electrical Engineering and Computer Science at MIT. His primary interests are in the application of computational techniques to domains of social concern, including online platforms, algorithmic fairness, and behavioral economics, with a particular focus on the use of algorithmic tools in the hiring pipeline. He is a member of the Artificial Intelligence, Policy, and Practice initiative at Cornell University.

Leading Ethically in the Age of AI and Big Data is the result of a grant to Purdue University’s College of Liberal Arts from the Lilly Endowment, Inc. Learn more about the project at https://bit.ly/LeadingEthically. A new Purdue Bachelor of Arts major in Artificial Intelligence will teach students to ask fundamental questions about intelligence and the ethical principles guiding the development of AI. Learn more at https://bit.ly/PurdueAI.