Decision Support

Decision support systems aim to enhance human decision-making across diverse fields by integrating computational models and algorithms with human expertise. Current research emphasizes ethical considerations in AI-driven decision support, focusing on transparency, robustness, and the development of interpretable models like those based on weight of evidence, adversarial explanations, and multi-criteria decision-making methods (e.g., CoCoFISo). These advancements are improving decision quality in areas such as healthcare, resource management, and conflict resolution, while also addressing challenges related to human-AI collaboration and the mitigation of biases. The ultimate goal is to create systems that effectively guide human choices, leading to more informed and efficient outcomes.