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arXiv 2104.00358cs.HCcs.AI
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设计人类-人工智能合作创新系统时的九个潜在陷阱

Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems

University of Bayreuth(拜罗伊特大学);Bundeswehr University Munich(慕尼黑联邦国防军大学)

Daniel Buschek, Lukas Mecke, Florian Lehmann, Hai Dang

摘要:

这份立场文件探讨了以有利于用户利益的方式实现人类与人工智能共同创造的潜在陷阱。特别是,我们收集了一组九个潜在的陷阱,根据文献和我们自己的经验,作为研究人员在人机交互和人工智能的交叉点工作。我们用例子说明每个陷阱,并提出解决它的想法。反思所有陷阱,我们讨论并总结了未来研究方向的启示。通过这些收集,我们希望有助于对人类和人工智能在共同创造性互动中的作用进行批判性和建设性的讨论,并关注相关的假设和创造性实践及其他方面的潜在副作用。

英文摘要:

This position paper examines potential pitfalls on the way towards achieving human-AI co-creation with generative models in a way that is beneficial to the users' interests. In particular, we collected a set of nine potential pitfalls, based on the literature and our own experiences as researchers working at the intersection of HCI and AI. We illustrate each pitfall with examples and suggest ideas for addressing it. Reflecting on all pitfalls, we discuss and conclude with implications for future research directions. With this collection, we hope to contribute to a critical and constructive discussion on the roles of humans and AI in co-creative interactions, with an eye on related assumptions and potential side-effects for creative practices and beyond.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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