AI is fast changing the landscape of financial decision-making. Understanding the impact of regulatory measures on AI bias is therefore crucial. Anton S. Ovchinnikov, Visiting Professor of Decision Sciences at INSEAD, will share insights from his research “Antidiscrimination Laws, Artificial Intelligence, and Gender Bias: A Case Study in Nonmortgage Fintech Lending” on the unintended effects of anti-discriminatory policies on AI algorithms.

Why attend:

• Grasp the intricate balance between AI fairness and regulatory impacts.
• Explore the counterintuitive outcomes of anti-bias interventions in AI systems.
• Uncover the challenges in aligning AI models with equitable decision-making processes.
• Gain a deeper understanding of the dynamics between data, algorithms, and fairness.
• Equip yourself with strategies to navigate the complexities of AI ethics and regulation.

This webinar is a must-attend for anyone keen on navigating the evolving landscape of AI ethics and effectiveness. Register now to stay ahead in the conversation on AI, ethics, and regulation!

Further readings:

• Kelley S., Ovchinnikov A. S., Hardoon D. R., Heinrich A. (2022). Antidiscrimination Laws, Artificial Intelligence, and Gender Bias: A Case Study in Nonmortgage Fintech Lending. Manufacturing and Service Operations Management, 24(6), pp3039-3059.
• Ovchinnikov A. S. (2023) (Published online), How Anti-Discriminatory Measures Can Worsen AI Bias, INSEAD Knowledge
• Kelley S., Ovchinnikov A. S., Heinrich A., Hardoon D. R. (2023). Removing Demographic Data Can Make AI Discrimination Worse. Harvard Business Review Digital Articles