D'utilité Publique avec Prof. Norrin Halilem

What happens when the promise of innovation collides with the reality of bias? That’s the question the banking sector must confront.

🤖 Artificial Intelligence is reshaping the banking sector: speed ⚡, efficiency ✅, profitability 💰. But behind this apparent algorithmic neutrality lies a very real threat ⚠️. If the data feeding these systems is biased (as it often is), AI ends up being trained to… discriminate.

🕵️‍♂️ Bias isn’t always visible: gender, origin, residence, occupation… each can be subtly used to support exclusion.

Together with Aziza Halilem and Kandet Oumar BAH, Adm.A., MBA, and based on peer-reviewed research, we’ve summarized in less than 1,000 words what you need to know about adopting AI tools in banking: the opportunities 🚀, the risks ⚠️, and the possible solutions 🛠️.

👉 Read the full article on The Conversation:
https://theconversation.com/ai-and-credit-how-can-we-keep-machines-from-reproducing-social-biases-257756

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