arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2305.03376cs.HCcs.AI
收藏

解释“幽灵”:女性主义交叉性可解释人工智能(XAI)与制图学作为阐释无形劳动的方法

Explaining the ghosts: Feminist intersectional XAI and cartography as methods to account for invisible labour

Faculty of Electrical Engineering and Computer Science, University of Kassel(卡塞尔大学电气工程与计算机科学学院)

Goda Klumbyte, Hannah Piehl, Claude Draude

AI总结:

针对AI自动化中幕后无形劳动被忽视、报酬低的问题,提出通过女性主义交叉性XAI设计及源自女性主义交叉研究的制图学方法,呈现AI系统视角并纳入无形劳动相关维度,提升用户对其作用的认知。

摘要:

当代基于AI的自动化涉及大量幕后人类劳动,这类劳动往往既被隐形化又报酬低廉。由于包括数据标注和维护工作在内的无形劳动是当代AI系统不可或缺的组成部分,让用户认识到其作用仍十分重要。我们提出可通过可解释人工智能(XAI)设计,尤其是女性主义交叉性XAI来实现这一点。我们提出源自女性主义交叉研究的制图学方法,以勾勒AI的系统性视角,并纳入与无形劳动相关的AI维度。

英文摘要:

Contemporary automation through AI entails a substantial amount of behind-the-scenes human labour, which is often both invisibilised and underpaid. Since invisible labour, including labelling and maintenance work, is an integral part of contemporary AI systems, it remains important to sensitise users to its role. We suggest that this could be done through explainable AI (XAI) design, particularly feminist intersectional XAI. We propose the method of cartography, which stems from feminist intersectional research, to draw out a systemic perspective of AI and include dimensions of AI that pertain to invisible labour.

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。

↑