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Identifying Ethical Issues in AI Partners in Human-AI Co-Creation

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arxiv 2204.07644 v1 pith:WGEAULXO submitted 2022-04-15 cs.HC cs.AI

classification cs.HCcs.AI
keywords co-creativeethicalissuesuserscommunicatehuman-aipartnerspotential
verification ladder T0 review T1 audit T2 compute T3 formal
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Human-AI co-creativity involves humans and AI collaborating on a shared creative product as partners. In many existing co-creative systems, users communicate with the AI using buttons or sliders. However, typically, the AI in co-creative systems cannot communicate back to humans, limiting their potential to be perceived as partners. This paper starts with an overview of a comparative study with 38 participants to explore the impact of AI-to-human communication on user perception and engagement in co-creative systems and the results show improved collaborative experience and user engagement with the system incorporating AI-to-human communication. The results also demonstrate that users perceive co-creative AI as more reliable, personal and intelligent when it can communicate with the users. The results indicate a need to identify potential ethical issues from an engaging communicating co-creative AI. Later in the paper, we present some potential ethical issues in human-AI co-creation and propose to use participatory design fiction as the research methodology to investigate the ethical issues associated with a co-creative AI that communicates with users.

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  1. Toward Resilient Human-AI Collaboration: A Lifecycle Taxonomy of Sociotechnical Risks and Cascading Failures

    cs.HC 2026-08 conditional novelty 5.0 of 10

    A literature synthesis maps human-AI collaboration failures into six interacting risk clusters arranged along a four-stage lifecycle.

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