Ep. #101 - Supervisory Implications of Artificial Intelligence and Machine Learning

This Toronto Centre Note and accompanying podcast describe how financial institutions are using artificial intelligence (AI) and machine learning (ML), and how supervisors can respond and use AI and ML to improve their efficiency and effectivenessRead their biographies here (https://torcentre.sharepoint.com/:b:/s/Files/EZjkRyJPgx5OteUqKnLYkN4BNaLwGCicchsFmlONGg5e3w?e=xHDccG).Read the transcript here (https://torcentre.sharepoint.com/:b:/s/Files/EScQVkVgVVNArAhmRROrgaABiYSH5DfSwBlV8XQcPHY32A?e=XQeWI3).

Om Podcasten

Providing high quality capacity building programs for financial supervisors and regulators to build more stable and inclusive financial systems. Toronto Centre is an independent not-for-profit organization that promotes financial stability and access to financial services globally, particularly in emerging markets and developing countries. www.torontocentre.org What financial supervisors and regulators do every day has a ripple effect that cascades across government, NGOs, and the private sector impacting developing economies and those living in them. Toronto Centre’s podcast series will feature simulating panel sessions and interviews on timely topics such as, financial crisis, financial stability, climate change, gender equality, financial inclusion, fintech and much more.