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