Challenges of Incorporating Diversity in Reducing AI Bias

While diversity and inclusion programs have the potential to reduce AI bias, their effectiveness often encounters several hurdles. One primary challenge is the deeply ingrained biases in the datasets used to train AI. If these initial biases are not addressed, the resulting AI systems may perpetuate or even exacerbate them. Additionally, the effectiveness of these programs may be limited by superficial implementation that fails to address systemic issues within the organization or the tech industry at large.