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To facilitate the appropriate level of operator trust in AI, a mechanism to continuously evaluate and calibrate human\u2013AI trust is required. Such a Trust Management System (TMS) will be integral to developing trustworthy AI systems and thus enabling collaborative and effective Human\u2013AI Teaming (HAT) in future operations. This article starts a review of the current state-of-the-art in trust research applicable to HAT, then summarizes the development and presents the IMPACTS (Intention, Measurability, Performance, Adaptivity, Communication, Transparency, Security) homeostasis TMS. 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