AI, Ethics & Discrimination in Business: A Conversation with Dr. Marco Marabelli

Dr. Marco Marabelli, Professor of Computer Information Systems and Associate Director of the Hoffman Center for Business Ethics at Bentley University, shares key insights from his acclaimed book “AI, Ethics, and Discrimination in Business: The DEI Implications of Algorithmic Decision-Making.” Dr. Marabelli explains why algorithmic decision-making often reproduces real-world inequities: machines rely on binary classification systems that struggle to capture the nuance of “analog” human societies, and they learn patterns from historical data that already reflects bias. He also discusses how platform business models built on targeted advertising can unintentionally amplify discriminatory outcomes (for example, in what content, job ads, or housing opportunities people are shown), making bias harder to detect and even harder to assign accountability for. The conversation closes with solutions combining top-down governance (updated laws and regulation of data brokers) and bottom-up empowerment (stronger individual rights over personal data, consent, and opt-out choices), along with urgent research questions around AI’s environmental impact and its influence on knowledge creation in academia. This podcast is brought to you by Global Management Consultancy. For more information, please visit www.globalmanagementconsultancy.com. Disclaimer: A. The background music used in this video is the property of its respective developer and is protected by Copyright. Although it is a free version, Business Talk, Global Management Consultancy and Deepak Bhatt do not hold the rights to this music. B. Dr. Marco Marabelli offered thoughtful perspectives from his acclaimed book, “AI, Ethics, and Discrimination in Business: The DEI Implications of Algorithmic Decision-Making”, in his conversation on the Business Talk podcast channel. The uploaded video contains copyrighted material; therefore, any modifications to graphics, music, or the presence of the author or host are strictly prohibited.