AI Bias: Understanding and Mitigating Distortions in LLM Models
Rishi explains AI bias as "distortions in model outputs due to biased training data," distinct from AI hallucinations. He suggests using diverse training data, selecting suitable AI models, and conducting regular audits to mitigate bias. While bias-free AI is unattainable, these strategies can help reduce its impact.