Artificial Intelligence in Finance: Putting the Human in the Loop

Regulatory approaches which focus on personal responsibility can help to address the risks posed by the increasing role of AI (artificial intelligence) in finance and the related ‘black box’ issues that arise, according to a new academic paper by Dirk A. Zetzsche, Douglas W. Arner, Ross P. Buckley et Brian Tang.

The paper argues for strengthening the internal governance of financial institutions through external regulatory approaches that impose personal responsibility requirements for AI systems.

The full paper is available here.

This content has been updated on 10 February 2022 at 16 h 02 min.