Designing Bias Suppressing Robots for `fair' Robot moderated Human-Human Interactions.
Pages 347 - 349
Abstract
Research has shown that data-driven robots deployed in social settings are likely to unconsciously perpetuate systemic social biases. Despite this, robots can also be deployed to promote fair behaviour in humans. These phenomena have led to the development of two broad sub-disciplines in HRI concerning ‘fairness’: a data-centric approach to ensuring robots operate fairly and a human-centric approach which aims to use robots as interventions to promote fairness in society. To date, these two fields have developed independently, thus it is unknown how data-driven robots can be used to suppress biases in human-human interactions. In this paper, we present a conceptual framework and hypothetical example of how robots might deploy data-driven fairness interventions, to actively suppress social biases in human-human interactions.
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Index Terms
- Designing Bias Suppressing Robots for `fair' Robot moderated Human-Human Interactions.
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Published In
November 2024
502 pages
ISBN:9798400711787
DOI:10.1145/3687272
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Published: 24 November 2024
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- Japan Society for the Promotion of Science KAKENHI
- Japan Society for the Promotion of Science London
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HAI '24: International Conference on Human-Agent Interaction
November 24 - 27, 2024
Swansea, United Kingdom
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