Financial Inclusion in the AI Era: 7 Steps Financial Regulators Can Take to Ensure AI Fairness

 

Our founders Kareem Saleh and John Merrill, together with co-authors Lisa Rice, Maureen Yap and Michael Akinwumi, PhD, published a list of policy recommendations for U.S. regulators aimed at harnessing AI fairness techniques to increase financial inclusion.

These policy recommendations are “a roadmap that the federal financial regulators can use to ensure that innovations in AI/ML serve to promote equitable outcomes and uplift the whole of the national financial services market.”

Recommendations for mitigating AI/ML risks:

  1. Set clear expectations for best practices in fair lending testing, including a rigorous search for less discriminatory alternatives
  2. Broaden Model Risk Management Guidance to incorporate fair lending risk
  3. Provide guidance on evaluating third-party scores and models
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