Module 3: AI Bias Mitigation
LESSON 3.1: METHODS TO MITIGATE BIAS
Bias can infiltrate AI at multiple stages of the model development process, making it essential to address it at each stage. Various strategies have emerged to mitigate bias at different points in the AI pipeline. The integration of bias mitigation strategies with Explainable AI (XAI) tools is a crucial advancement, enabling the development of AI systems that are both fairer and more interpretable. Although significant progress has been made, challenges remain, motivating ongoing research and refinement of these techniques to ensure comprehensive and scalable AI bias mitigation solutions.
Bias can infiltrate AI at multiple stages of the model development process, making it essential to address it at each stage. Various strategies have emerged to mitigate bias at different points in the AI pipeline. The integration of bias mitigation strategies with Explainable AI (XAI) tools is a crucial advancement, enabling the development of AI systems that are both fairer and more interpretable. Although significant progress has been made, challenges remain, motivating ongoing research and refinement of these techniques to ensure comprehensive and scalable AI bias mitigation solutions.