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  1. Apr 27, 2024 · This observation may suggest that the dynamics and relationships within humanAI teams might be more closely aligned with those in humanhuman teams than previously believed. It also implies that key factors essential for team functioning and trust are equally critical across both team types.

  2. Apr 20, 2023 · Shaping a multidisciplinary understanding of team trust in human-AI teams: a theoretical framework. Anna-Sophie Ulfert. , Eleni Georganta. , Carolina Centeio Jorge. , Siddharth Mehrotra. & Myrthe Tielman. Pages 158-171 | Received 31 Aug 2021, Accepted 03 Apr 2023, Published online: 20 Apr 2023. Cite this article.

  3. We emphasize the need for team-centered AI that aligns goals, communication, and decision making with humans, and outline the requirements for such team-centered AI from a technical perspective, such as cognitive competence, reinforcement learning, and semantic communication.

  4. Jan 30, 2024 · News. Head-to-head: Human vs. AI-human teams. by Kaitlyn Landram. New research from Carnegie Mellon University’s Department of Mechanical Engineering and the Human+AI Design Initiative underlines the adage “teamwork makes the dream work,” especially when it comes to human-AI collaboration.

  5. Mar 1, 2023 · Abstract. System autonomy and AI are being developed for a wide variety of applications where they will likely work in tandem with people, forming human-AI teams (HAT). Situation awareness (SA) of autonomous systems and AI has been established as critical for effective interaction and oversight of these systems.

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  7. One core issue with such human-AI teams is the goal alignment. Goal alignment is the degree to which the AI’s programmed goal matches with the humans goal. With bounded rationality, humans’ local short-term optimum might not always align with the global long-term optimum in the future human-AI society.

  8. May 11, 2024 · The focus in process-oriented human-AI interaction research appears to be on facilitating collaboration between humans and AI, rather than on using GenAI as a replacement for human creativity . Existing studies of AI perception predominantly stem from individual interactions with GenAI.

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