UNDERSTANDING AI BIAS As organizations increasingly rely on Artificial Intelligence (AI) across sectors such as healthcare, hiring, finance, and public safety, understanding and mitigating embedded biases (AI bias) within these systems is vital. Left unaddressed, these biases pose significant threats, including exacerbating systemic discrimination, creating ethical and legal challenges, eroding public trust, and negatively impacting […]
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