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Human–AI Collaboration: Navigating Trust, Emotion, and Productivity
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Author(s): Lingala Thirupathi (Sreenidhi Institute of Science and Technology, India), Konda Aditya (Sreenidhi Institute of Science and Technology, India), Adthi Prashanthi (Sreenidhi Institute of Science and Technology, India), Mangilipally Akhila (Sreenidhi Institute of Science and Technology, India)and G. Ramya (Maritz Consulting Group Inc., USA)
Copyright: 2026
Pages: 28
Source title:
AI Hallucination Management in the Enterprise Metaverse
Source Author(s)/Editor(s): Abdelkader Mohamed Sghaier Derbali (Taibah University, Saudi Arabia), Rohit Sood (Lovely Professional University, India)and Shilpa Chaudhary (Lovely Professional University, India)
DOI: 10.4018/979-8-3373-7534-2.ch004
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Abstract
AI has moved past being a mere tool; it's our new, permanent coworker. To truly capitalize on this massive digital integration, we must focus on the tricky, three-part equilibrium between trust, emotion, and productivity. While AI offers impressive gains in speed and data-crunching, those benefits are easily negated when users lack confidence often because the “black box” nature of algorithms leads to concerns about opacity, bias, and a creeping sense of lost human control. Furthermore, if we rely too heavily on the system, we risk “automation complacency,” sacrificing indispensable human qualities like creativity, ethical judgment, and nuanced decision making. Achieving this demands transparent AI design, continuous user education, and a work culture that equally values algorithmic certainty and human intuition. Ultimately, the successful organizations of the future will be the ones that navigate the inevitable emotional friction and successfully cultivate a reciprocal, appropriate trust with their digital partners, turning anxiety into sustained, meaningful productivity.
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