- The first was explainability – how leaders should approach the limitations of technology as it relates to explaining how AI arrives at conclusions.
- The second was the threat of bias and re-examining the concepts of transparency, fairness and accountability in an AI-first world
- The final concern focusing on diversity, from AI adoption to the executive leadership to the teams building AI models to the data used to inform decisions.
“In the banking sector, I think we’re going to go through the same shift, where it’s important for banks to recognize the power of AI. They need to take the responsibility of careful deployment of AI seriously and to lead the conversation.”