D'utilité Publique avec Prof. Norrin Halilem

As banks increasingly use AI to automate credit decisions, an important question is emerging: are we at risk of scaling existing gender biases through algorithms?

When historical data reflects structural inequalities, AI doesn’t just mirror them… it can consolidate and amplify them⚖️

In researching the story, Jarni Blakkarly, an experienced investigative journalist, consulted multiple specialists across the field. I was glad to contribute an academic perspective to the conversation, and I think he’s done an excellent job unpacking the risks and regulatory challenges in a clear and accessible way for the readers of CHOICE, Australia.

This is a conversation that goes well beyond banking or technology. It concerns fairness, accountability, and equal opportunity.🌍 It’s something everyone should care about.

👉 Link to the article: https://www.choice.com.au/money/banking/everyday-banking/articles/could-ai-make-it-harder-for-you-to-get-a-loan

Also, with Aziza Halilem, we previously wrote about how AI systems can consolidate and amplify existing biases in an article published in The Conversation, for those interested in exploring the issue further:

https://theconversation.com/ai-and-credit-how-can-we-keep-machines-from-reproducing-social-biases-257756