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AI, Algorithmic Bias, and Employment Law: Navigating Legal Challenges And Ensuring Fairness in the Workplace

Presented by Diana-Marie Laventure

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Course Description

Length: 47min    Published: 9/10/2025    
This course will provide an overview of algorithmic bias, starting with the basics of how biases can be embedded in AI algorithms and their general effects. We will delve into the legal implications, particularly focusing on how such biases might intersect with employment discrimination laws and other legal areas, potentially leading to legal consequences. The course will also examine how algorithmic bias disproportionately impacts underrepresented and marginalized groups, raising concerns about fairness and equity. Additionally, we will review current laws and statutes designed to mitigate algorithmic bias and offer practical recommendations for minimizing harmful outcomes when employing AI technology in the workplace.
Learning Objectives
* Learn the basics of algorithmic bias
* Examine potential biases in AI algorithms and the legal implications under employment discrimination laws and other areas of law
* Explore how algorithmic bias impacts underrepresented groups
* Discussion of current laws/statutes are attempting to mitigate algorithmic bias
* Get recommendations for how to avoid harmful outcomes in employment when relying on AI technology
Read the course transcript.

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Presented By:

Diana-Marie Laventure

New York, NY

(646) 367-6901

dmlaventure@kbrlaw.com

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