Fig. 4: Bias mitigation strategies across AI model life cycle.
From: Bias recognition and mitigation strategies in artificial intelligence healthcare applications
This figure outlines the key strategies for addressing biases at different phases of the AI model life cycle. It highlights critical interventions from the initial conception phase through to post-deployment surveillance, ensuring that each phase in the AI development process incorporates practices aimed at promoting fairness, equity, and effectiveness. The strategies are categorized by the model’s lifecycle phases, providing a roadmap for systematic bias mitigation in AI applications.
