Towards a Socio-Legal Robotics: A Theoretical Framework on Norms and Adaptive Technologies
(2023) In International Journal of Social Robotics p.1-14- Abstract
- While recent progress has been made in several fields of data-intense AI-research, many applications have been shown to be prone to unintendedly reproduce social biases, sexism and stereotyping, including but not exclusive to gender. As more of these design-based, algorithmic or machine learning methodologies, here called adaptive technologies, become embedded in robotics, we see a need for a developed understanding of what role social norms play in social robotics, particularly with regards to fairness. To this end, we i) we propose a framework for a socio-legal robotics, primarily drawn from Sociology of Law and Gender Studies. This is then ii) related to already established notions of acceptability and personalisation in social... (More)
- While recent progress has been made in several fields of data-intense AI-research, many applications have been shown to be prone to unintendedly reproduce social biases, sexism and stereotyping, including but not exclusive to gender. As more of these design-based, algorithmic or machine learning methodologies, here called adaptive technologies, become embedded in robotics, we see a need for a developed understanding of what role social norms play in social robotics, particularly with regards to fairness. To this end, we i) we propose a framework for a socio-legal robotics, primarily drawn from Sociology of Law and Gender Studies. This is then ii) related to already established notions of acceptability and personalisation in social robotics, here with a particular focus on iii) the interplay between adaptive technologies and social norms. In theorising this interplay for social robotics, we look not only to current statuses of social robots, but draw from identified AI-methods that can be seen to influence robotics in the near future. This theoretical framework, we argue, can help us point to concerns of relevance for questions of fairness in human-robot interaction. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/431b2521-6719-4b7d-bd76-897f734ecaca
- author
- Larsson, Stefan LU ; Liinason, Mia LU ; Tanqueray, Laetitia LU and Castellano, Ginevra
- organization
- publishing date
- 2023-10-20
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- socio-legal robotics, social norms, gender studies, mirroring of norms, adaptive technologies, social robotics, AI and ethics, AI and norms, AI governance, AI transparency, sociology of law
- in
- International Journal of Social Robotics
- pages
- 14 pages
- publisher
- Springer
- external identifiers
-
- scopus:85174490067
- ISSN
- 1875-4805
- DOI
- 10.1007/s12369-023-01042-9
- project
- Perceptions of AI and robotics in Sweden and Japan
- Fairness in social robotics: gender as a case study for developing a multidisciplinary framework for social robotics and socio-legal studies of AI
- Bridging Sociology of Law and Robots through Health Care and Feminism
- language
- English
- LU publication?
- yes
- additional info
- Authors’ contributions: All authors contributed to the study conception and design. This is a highly conceptual and argumentative paper, based on three research disciplines, of which the four authors relate to differently. The socio-legal foundation is primarily performed by Stefan Larsson and Laetitia Tanqueray, the Gender Studies foundation primarily by Mia Liinason and the social robotics foundation is primarily performed by Ginevra Castellano. The first draft of the manuscript was written by Stefan Larsson and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
- id
- 431b2521-6719-4b7d-bd76-897f734ecaca
- alternative location
- https://link.springer.com/article/10.1007/s12369-023-01042-9
- date added to LUP
- 2023-08-09 10:56:01
- date last changed
- 2023-11-20 04:02:12
@article{431b2521-6719-4b7d-bd76-897f734ecaca,
abstract = {{While recent progress has been made in several fields of data-intense AI-research, many applications have been shown to be prone to unintendedly reproduce social biases, sexism and stereotyping, including but not exclusive to gender. As more of these design-based, algorithmic or machine learning methodologies, here called adaptive technologies, become embedded in robotics, we see a need for a developed understanding of what role social norms play in social robotics, particularly with regards to fairness. To this end, we i) we propose a framework for a socio-legal robotics, primarily drawn from Sociology of Law and Gender Studies. This is then ii) related to already established notions of acceptability and personalisation in social robotics, here with a particular focus on iii) the interplay between adaptive technologies and social norms. In theorising this interplay for social robotics, we look not only to current statuses of social robots, but draw from identified AI-methods that can be seen to influence robotics in the near future. This theoretical framework, we argue, can help us point to concerns of relevance for questions of fairness in human-robot interaction.}},
author = {{Larsson, Stefan and Liinason, Mia and Tanqueray, Laetitia and Castellano, Ginevra}},
issn = {{1875-4805}},
keywords = {{socio-legal robotics; social norms; gender studies; mirroring of norms; adaptive technologies; social robotics; AI and ethics; AI and norms; AI governance; AI transparency; sociology of law}},
language = {{eng}},
month = {{10}},
pages = {{1--14}},
publisher = {{Springer}},
series = {{International Journal of Social Robotics}},
title = {{Towards a Socio-Legal Robotics: A Theoretical Framework on Norms and Adaptive Technologies}},
url = {{https://lup.lub.lu.se/search/files/162717237/Larsson_Liinason_Tanqueray_Castllano_2023_Towards_a_Socio_Legal_Robotics_A_Theoretical_Framework_on_Norms_and_Adaptive_Technologies.pdf}},
doi = {{10.1007/s12369-023-01042-9}},
year = {{2023}},
}