AI bias mitigation techniques are essential for building fair, ethical, and trustworthy AI systems. By identifying and addressing biases in data, algorithms, and decision-making processes, organizations can ensure accurate, responsible AI deployment, enhance user trust, and drive sustainable business outcomes while minimizing ethical and legal risks.