Bias detection involves identifying and mitigating unfair, prejudiced, or skewed outcomes in data-driven processes, ensuring fairness and accuracy in decision-making systems. It is crucial for maintaining ethical standards and trust in artificial intelligence and machine learning applications by addressing issues related to discrimination and representational harm.