arXiv
Open Access
2023
Explaining the ghosts: Feminist intersectional XAI and cartography as methods to account for invisible labour
Goda Klumbyte
Hannah Piehl
Claude Draude
Abstrak
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.
Penulis (3)
G
Goda Klumbyte
H
Hannah Piehl
C
Claude Draude
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2023
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