Open Access. Powered by Scholars. Published by Universities.®

Business Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 2 of 2

Full-Text Articles in Business

Hired By A Machine: Can A New York City Law Enforce Algorithmic Fairness In Hiring Practices?, Lindsey Fuchs Jan 2023

Hired By A Machine: Can A New York City Law Enforce Algorithmic Fairness In Hiring Practices?, Lindsey Fuchs

Fordham Journal of Corporate & Financial Law

Workplace antidiscrimination laws must adapt to address today’s technological realities. If left underregulated, the rapidly expanding role of Artificial Intelligence (“AI”) in hiring practices has the danger of creating new, more obscure modes of discrimination. Companies use these tools to reduce the duration and costs of hiring and potentially attract a larger pool of qualified applicants for their open positions. But how can we guarantee that these hiring tools yield fair outcomes when deployed? These issues are just starting to be addressed at the federal, state, and city levels. This Note tackles whether a new city law can be improved …


Exploring Financial Data Protection And Civil Liberties In An Evolved Digital Age, Amanda Lindner Jan 2023

Exploring Financial Data Protection And Civil Liberties In An Evolved Digital Age, Amanda Lindner

Fordham Journal of Corporate & Financial Law

There is no comprehensive financial privacy law that can protect consumers from a company’s collection sharing and selling of consumer data. The most recent federal financial privacy law, the Gramm-Leach-Bliley Act (“GLBA”), was enacted by Congress over 20 years ago. Vast technological and financial changes have occurred since 1999, and financial privacy law is due for an upgrade.

As a result, loopholes exist where companies can share financial data without being subject to laws or regulations. Additionally, federal financial privacy related laws provide little to no recourse for consumers to self-remediate with litigation, also known as a private right of …