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Addressing Bias and Ethics in AI-driven Talent Acquisition Models
Exploring the impact of AI models in talent acquisition using the Amazon case study, highlighting gender bias challenges and the necessity of addressing biases and ethical concerns in AI-driven processes. The discussion also includes insights on legislation in New York mandating audits to remove biases in AI applications for human workforce-related tasks.