The development of AI tools to assess diversity, equity, inclusion, and accessibility (DEIA) policies has sparked concern among experts and advocates. The intent behind this technology is to boost productivity and operational readiness, but critics warn that it may inadvertently perpetuate existing inequalities. If the AI system fails to grasp the nuances of diverse experiences and perspectives, it risks reinforcing discriminatory practices. Marginalized communities may be disproportionately affected by biased assessments, exacerbating their historical struggles for justice and equality. To mitigate these risks, it is essential to ensure transparency and accountability in the AI's decision-making processes. This may involve establishing clear lines of responsibility, providing detailed explanations of the system's reasoning, and actively engaging with diverse stakeholders to validate its outputs.