Background Screening Compliance in 2024: Tracking New Laws & Industry Trends
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Free HR webcast about Background Screening Compliance in 2024: Tracking New Laws & Industry
A warning has been issued by a University of Alberta Faculty of Law assistant professor regarding the dangers of racially biased AI.
This study emphasizes that biased AI not only misleads but can also have severe detrimental effects on people's lives.
AI-based facial recognition has already made mistakes before, even leading to a person being arrested and detained.
Christian's work will focus on private sector development and deployments of facial recognition and also examine the racial bias embedded in facial recognition.