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Artificially Intelligent Technology for the Margins: A Multidisciplinary Design Agenda

Tachtler, F; Aal, K; Ertl, T; Diethei, D; Niess, J; Khwaja, M; Talhouk, R; ... Fitzpatrick, G; + view all (2021) Artificially Intelligent Technology for the Margins: A Multidisciplinary Design Agenda. In: Proceedings of the CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. (pp. p. 86). ACM: Association for Computing Machinery: Yokohama, Japan. Green open access

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Abstract

There has been increasing interest in socially just use of Artificial Intelligence (AI) and Machine Learning (ML) in the development of technology that may be extended to marginalized people. However, the exploration of such technologies entails the development of an understanding of how they may increase and/or counter marginalization. The use of AI/ML algorithms can lead to several challenges, such as privacy and security concerns, biases, unfairness, and lack of cultural awareness, which especially affect marginalized people. This workshop will provide a forum to share experiences and challenges of developing AI/ML health and social wellbeing technologies with/for marginalized people and will work towards developing design methods to engage in the re-envisioning of AI/ML technologies for and with marginalized people. In doing so we will create cross-research area dialogues and collaborations. These discussions build a basis to (1) explore potential tools to support designing AI/ML systems with marginalized people, and (2) develop a design agenda for future research and AI/ML technology for and with marginalized people.

Type: Proceedings paper
Title: Artificially Intelligent Technology for the Margins: A Multidisciplinary Design Agenda
Event: CHI '21: CHI Conference on Human Factors in Computing Systems
ISBN-13: 9781450380959
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3411763.3441333
Publisher version: http://dx.doi.org/10.1145/3411763.3441333
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > UCL Interaction Centre
URI: https://discovery.ucl.ac.uk/id/eprint/10132052
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