As we move towards 2025, artificial intelligence emerges as a potential ally in addressing racial bias, despite earlier fears it may perpetuate such issues. AI offers unique advantages, particularly its auditability, allowing for a clearer examination of bias in decision-making realms like healthcare. Unlike humans, AI systems reveal hidden disparities in treatment decisions, enabling society to confront its biases. This presents a path to develop contextual tools for measuring fairness and reducing implicit biases, moving towards equitable solutions that acknowledge historical inequities.
AI systems are inherently more auditable than human decision-making, creating opportunities to mirror society's biases and confront uncomfortable truths about institutions.
Unlike human decision-makers who might become defensive when accused of bias, AI systems can be systematically tested, evaluated, and improved to identify and address biases.
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