Different Stakeholder

Research on diverse stakeholder perspectives in various technological applications focuses on understanding and addressing the needs and concerns of different groups impacted by these systems. Current work emphasizes developing methods to incorporate stakeholder input into the design and evaluation of AI systems, including fairness metrics, explainable AI techniques, and vulnerability notification strategies. This research is crucial for ensuring responsible innovation, promoting equitable outcomes, and building trust in AI across sectors like healthcare, recruitment, and online advertising. The ultimate goal is to create more human-centered and ethically sound technological solutions.