AI for autonomous systems Development of perception, decision-making, and control methods for autonomous systems operating in dynamic environments, with attention to reliability and interaction with other systems and with humans....
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Algorithmic fairness Study of methods for analyzing and mitigating bias in data and models, together with the formulation, comparison, and evaluation of fairness criteria in automated decision-making systems. Computational and...
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Information fusion Investigation of methods for integrating information from multiple sources or modalities, with emphasis on joint representations, consistency across sources, uncertainty management, and principled evidence combination in inference. Explainability...
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