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Got Algorithmic Bias? Emerging Issues with the Use of Artificial Intelligence in the Workplace
Length: 1:04


In the modern workplace, artificial intelligence tools are used throughout the employee life-cycle, i.e., recruitment to termination. In theory, employers rely on AI tools to promote efficiency and predictability in outcomes. A well-trained tool could actually help to mitigate human biases. In reality, however, if data systems used to train the machines harbor implicit or explicit human bias, the AI tool will inherit the biased decision making. This course explains how AI tools are “trained” and the potential legal implications of AI in employment decision-making.

Tammy R. Bennett, Esq., Dinsmore & Shohl LLP

Tammy is an experienced employment attorney who focuses her practice on preventive strategies, Title VII compliance and equity, diversity, and inclusion training and consulting. She is also the chief equity and inclusion officer of the firm. In this key role, she serves as a trusted adviser to leadership in the design, implementation, and management of the firm’s equity, diversity, and inclusion programs and initiatives.

RItu Singh, Esq., Dinsmore & Shohl LLP

Ritu focuses her practice on patent preparation and prosecution for both domestic and foreign cases. Her background in electrical, computer, and industrial engineering enables her to flexibly work within and across multiple technical areas. She previously worked as an application engineer, building programmable logic controller (PLC) expertise integrating proprietary software and hardware across multiple industrial factory sites. She has significant experience working with intellectual property in the biomedical, mechanical, software, and electronic realms.


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