March 14, 2024, 4:42 a.m. | Andrew Fuchs, Andrea Passarella, Marco Conti

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.08386v1 Announce Type: cross
Abstract: We anticipate increased instances of humans and AI systems working together in what we refer to as a hybrid team. The increase in collaboration is expected as AI systems gain proficiency and their adoption becomes more widespread. However, their behavior is not error-free, making hybrid teams a very suitable solution. As such, we consider methods for improving performance for these teams of humans and AI systems. For hybrid teams, we will refer to both the …

abstract adoption ai systems arxiv behavior collaboration cs.ai cs.lg error free however human humans hybrid instances making risk solution systems team teams together type

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