Challenges of Generative AI on Human–AI Interaction and Collaboration

doi:10.1017/9781009587877.012

11 - Challenges of Generative AI on Human–AI Interaction and Collaboration

Published online by Cambridge University Press: 19 September 2025

Shaobo Liang and

Yiting Cai

Edited by

Dan Wu and

Shaobo Liang

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Dan Wu: Affiliation:
Wuhan University, China
Shaobo Liang: Affiliation:
Wuhan University, China

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Summary

As generative AI technologies continue to advance at a rapid pace, they are fundamentally transforming the dynamics of human–AI interaction and collaboration, a phenomenon that was once relegated to the realm of science fiction. These developments not only present unprecedented opportunities but also introduce a range of complex challenges. Key factors such as trust, transparency, and cultural sensitivity have emerged as essential considerations in the successful adoption and efficacy of these systems. Furthermore, the intricate balance between human and AI contributions, the optimization of algorithms to accommodate diverse user needs, and the ethical implications of AI’s role in society pose significant challenges that require careful navigation. This chapter will delve into these multifaceted issues, analyzing both user-level concerns and the underlying technical and psychological dynamics that are critical to fostering effective human–AI interaction and collaboration.

Keywords

Artificial Intelligence Human–AI Interaction Human–AI Collaboration

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Type: Chapter
Information: Human-AI Interaction and Collaboration , pp. 268 - 283

DOI: https://doi.org/10.1017/9781009587877.012 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2025

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