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This presentation explores AI's impact on the workplace, evolving roles, and ethical/legal considerations. It delves into algorithmic bias and fairness, discussing how biased data perpetuates inequalities and affects hiring tools, with a focus on mitigating bias through diverse datasets and fairness audits

#ai#ethics#workplace#bias#fairness#legal frameworks

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