Review of Human-AI Interaction and Collaboration
DOI:
https://doi.org/10.55613/jeet.v36i1.218Keywords:
Artificial Intelligence, Large Language Models, AI Ethics, Data Privacy, Human-AI-InteractionAbstract
Dan Wu, Shaobo Liang, and their co-authors make a strong case in Human-AI Interaction and Collaboration that the days of considering artificial intelligence (AI) as a simple computing tool are over. The authors instead propose a paradigm change in favor of Human-AI Collaboration (HAIC), a collaborative model in which AI and humans function as a Joint Cognitive System (JCS) in symbiotic harmony. The authors propose that we may address complicated societal and scientific issues without compromising human autonomy by combining AI's computational power with human biological and cognitive intelligence. This book effectively provides a thorough, human-centered paradigm for the future of AI integration, making it an essential resource for engineers, academics, developers, and ethicists.
References
Wu, D., & Liang, S. (Eds.). (2025). Human-AI Interaction and Collaboration. Cambridge: Cambridge University Press, https://doi.org/10.1017/9781009587877. DOI: https://doi.org/10.1017/9781009587877
Fragiadakis, G., Diou, C., Kousiouris, G., & Nikolaidou, M. (2025). EVALUATING HUMAN-AI COLLABORATION: A REVIEW AND METHODOLOGICAL FRAMEWORK. https://arxiv.org/pdf/2407.19098
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Copyright (c) 2026 Michael Umeokoli
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