Automating Bias: Cardozo Law Review 2023 Symposium

This symposium explores the use of artificial intelligence (AI) in consumer credit markets and the legal and policy issues surrounding these practices. Panel 1: Scoping Credit Discrimination in the Age of AI This panel examines how the rise of AI in consumer credit markets expands the meaning of discrimination and fairness in lending. Panel 2: Programming Fairness This panel examines technical solutions for mitigating discrimination risks in consumer credit markets arising from the use of AI. Keynote: Fair Lending and the CFPB Patrice Ficklin, Fair Lending Director, CFPB, and Carol Evans, Deputy Fair Lending Director, CFPB Panel 3: Regulating Fair Lending This panel explores regulatory responses to the discrimination and fairness risks generated by the increasing use of AI in consumer credit markets. Click here to view the flyer. Click here to view the recording.https://larc.cardozo.yu.edu/event-invitations-2023/1002/thumbnail.jp

Automating Bias: Cardozo Law Review 2023 Symposium

Click here to view the event invitation. Click here to view the recording.https://larc.cardozo.yu.edu/flyers-2022-2023/1008/thumbnail.jp

Automating Bias: Cardozo Law Review 2023 Symposium

Click here to view the event invitation. Click here to view the recording.https://larc.cardozo.yu.edu/flyers-2022-2023/1008/thumbnail.jp

Automating Bias: Cardozo Law Review 2023 Symposium

This symposium explores the use of artificial intelligence (AI) in consumer credit markets and the legal and policy issues surrounding these practices. Panel 1: Scoping Credit Discrimination in the Age of AI This panel examines how the rise of AI in consumer credit markets expands the meaning of discrimination and fairness in lending. Panel 2: Programming Fairness This panel examines technical solutions for mitigating discrimination risks in consumer credit markets arising from the use of AI. Keynote: Fair Lending and the CFPB Patrice Ficklin, Fair Lending Director, CFPB, and Carol Evans, Deputy Fair Lending Director, CFPB Panel 3: Regulating Fair Lending This panel explores regulatory responses to the discrimination and fairness risks generated by the increasing use of AI in consumer credit markets. Click here to view the flyer. Click here to view the recording.https://larc.cardozo.yu.edu/event-invitations-2023/1002/thumbnail.jp

Automating Bias: Cardozo Law Review 2023 Symposium

This symposium explores the use of artificial intelligence (AI) in consumer credit markets and the legal and policy issues surrounding these practices. 9:30-9:35 a.m. - Welcome - Dean Melanie Leslie (Cardozo School of Law) and Sarika Andavolu, Editor-in-Chief of Cardozo Law Review 9:35-9:55 a.m. - Introductory Remarks - Matthew Adam Bruckner (Howard University School of Law) 9:55-11:10 a.m. - Panel 1: Scoping Credit Discrimination in the Age of AI This panel will examine how the rise of AI in consumer credit markets expands the meaning of discrimination and fairness in lending. Moderator: David Carlson (Cardozo School of Law) Panelists: Talia Gillis (Columbia Law School) - “Price Discrimination” Discrimination Ted Janger (Brooklyn Law School) - Badges of Predation Mike Pierce (Student Borrower Protection Center) - Re-Coding Bias: Exploring the Role of Robust Regulatory Action in Tackling Algorithmic Bias 11:10-11:20 a.m. - Break 11:20 am-12:50 p.m. - Panel 2: Programming Fairness This panel will examine technical solutions for mitigating discrimination risks in consumer credit markets arising from the use of AI. Moderator: Pamela Foohey (Cardozo School of Law) Panelists: Dan Björkegren (Brown University) - Welfare Credit Scoring Nat Hoopes (Upstart) - Fairness and Inclusion with AI Models Melissa Koide (FinReg Lab) - Machine Learning Explainability and Fairness: Insights from Consumer Lending Nizan Packin (Baruch College/CUNY) - Decentralized Credit Scores 12:50-1:00 p.m. - Break 1:00-2:30 p.m. - Lunch and Keynote: Fair Lending and the CFPB Patrice Ficklin, Fair Lending Director, CFPB, and Carol Evans, Deputy Fair Lending Director, CFPB 2:30-2:40 p.m. - Break 2:40-4:10 p.m. - Panel 3: Regulating Fair Lending This panel will explore regulatory responses to the discrimination and fairness risks generated by the increasing use of AI in consumer credit markets. Moderator: Creola Johnson (Ohio State College of Law) Panelists: Kathleen Engel (Suffolk University Law School) - Can Competition Help Solve the Problem of Algorithmic Bias? Cassandra Havard (University of South Carolina School of Law ) - Digital Footprints Colin Hector (FTC) - Machine Learning, Dark Patterns, and Discriminatory Pricing Vijay Raghavan (Brooklyn Law School) - Benchmarking Discrimination 4:10-4:40 p.m. - Closing Remarks - Nikita Aggarwal (UCLA School of Law) Click here to view the event invitation. Click here to view the flyer.https://larc.cardozo.yu.edu/law-review-recordings/1006/thumbnail.jp

Automating Bias: Cardozo Law Review 2023 Symposium

This symposium explores the use of artificial intelligence (AI) in consumer credit markets and the legal and policy issues surrounding these practices. 9:30-9:35 a.m. - Welcome - Dean Melanie Leslie (Cardozo School of Law) and Sarika Andavolu, Editor-in-Chief of Cardozo Law Review 9:35-9:55 a.m. - Introductory Remarks - Matthew Adam Bruckner (Howard University School of Law) 9:55-11:10 a.m. - Panel 1: Scoping Credit Discrimination in the Age of AI This panel will examine how the rise of AI in consumer credit markets expands the meaning of discrimination and fairness in lending. Moderator: David Carlson (Cardozo School of Law) Panelists: Talia Gillis (Columbia Law School) - “Price Discrimination” Discrimination Ted Janger (Brooklyn Law School) - Badges of Predation Mike Pierce (Student Borrower Protection Center) - Re-Coding Bias: Exploring the Role of Robust Regulatory Action in Tackling Algorithmic Bias 11:10-11:20 a.m. - Break 11:20 am-12:50 p.m. - Panel 2: Programming Fairness This panel will examine technical solutions for mitigating discrimination risks in consumer credit markets arising from the use of AI. Moderator: Pamela Foohey (Cardozo School of Law) Panelists: Dan Björkegren (Brown University) - Welfare Credit Scoring Nat Hoopes (Upstart) - Fairness and Inclusion with AI Models Melissa Koide (FinReg Lab) - Machine Learning Explainability and Fairness: Insights from Consumer Lending Nizan Packin (Baruch College/CUNY) - Decentralized Credit Scores 12:50-1:00 p.m. - Break 1:00-2:30 p.m. - Lunch and Keynote: Fair Lending and the CFPB Patrice Ficklin, Fair Lending Director, CFPB, and Carol Evans, Deputy Fair Lending Director, CFPB 2:30-2:40 p.m. - Break 2:40-4:10 p.m. - Panel 3: Regulating Fair Lending This panel will explore regulatory responses to the discrimination and fairness risks generated by the increasing use of AI in consumer credit markets. Moderator: Creola Johnson (Ohio State College of Law) Panelists: Kathleen Engel (Suffolk University Law School) - Can Competition Help Solve the Problem of Algorithmic Bias? Cassandra Havard (University of South Carolina School of Law ) - Digital Footprints Colin Hector (FTC) - Machine Learning, Dark Patterns, and Discriminatory Pricing Vijay Raghavan (Brooklyn Law School) - Benchmarking Discrimination 4:10-4:40 p.m. - Closing Remarks - Nikita Aggarwal (UCLA School of Law) Click here to view the event invitation. Click here to view the flyer.https://larc.cardozo.yu.edu/law-review-recordings/1006/thumbnail.jp

Role of Community-based Organisations in Promoting Democratic Local Governance at the Grassroots in Bangladesh

Democratic local governance (DLG) is often regarded as a necessary precondition for transforming lives and livelihoods of people living in the rural areas of developing countries. This article tries to answer how community-based organisations (CBOs) shape the way services are delivered by local government agencies in Bangladesh. Furthermore, the article explores how the community’s, especially women’s, demands and interests are being negotiated at local political institutions. In doing so, the research focuses on Union Parishad (UP) as the core institution of the local power structure and Kachukata Gram Unnayan Parishad (GUP) as the case of a women-led CBO. It has been observed that Kachukata GUP has evolved as a full-fledged CBO over the years and currently mobilises marginalised groups to establish their rights and access to various government and non-government organisations. In addition to ensuring gender-responsive governance, GUP is also creating space for participation and developing interactive relationship between the people and power at the grassroots in Bangladesh