The AI Summit New York

2023 Agenda


Practical solutions to combating bias & discrimination in lending decisions

Dec 06, 2023
Room 1A22
Finance Stage
  • Though AI is beneficial from an automation standpoint, it can sustain bias and unfair lending practices and prevent historically disenfranchised groups from participating equally in our financial ecosystem
  • What are the ways we can combat this?
  • Discussion centers around data augmentation with synthetic data models, regular bias testing, building fair and transparent algorithms for training and education and more
Amit Arora, Professor, AI & Applied Risk Analytics - Columbia University
Mirka Snyder Caron, AVP, Privacy and Compliance - Foresters Financial
Dr Paul Dongha, Group Head of Data & AI Ethics, Chief Data & Analytics Office - Lloyds Banking Group
Sara-Amanda O'Keane, CRO & Steering Committee Member  - 100 Women in Finance
View all 2023 Agenda

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