Tackling AI Bias: Insights from ManageEngine's AI Research Director
Ram explains AI bias as "systemic errors from flawed training data," distinct from AI hallucinations, which are pattern recognition failures. He suggests debiasing strategies like using diverse datasets, data cleansing, and human oversight. While achieving bias-free AI is challenging, focusing on data integrity and system fortification is crucial.