Tachtler, Franziska, Aal, Konstantin, Ertl, Tanja, Diethei, Daniel, Niess, Jasmin, Khwaja, Mohammed, Talhouk, Reem, Nunes Vilaza, Giovanna, Lazem, Shaima, Singh, Aneesha, Barry, Marguerite, Wulf, Volker and Fitzpatrick, Geraldine (2021) Artificially Intelligent Technology for the Margins: A Multidisciplinary Design Agenda. In: CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, p. 86. ISBN 9781450380959
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Abstract
In recent years there has been a growing body of work from the CHI communities that looks at designing for inclusivity and for the unique and specific constraints of diverse populations. This has included but is not limited to, work on designing within patriarchal contexts, designing around issues of gender and sexual orientation and designing around literacy. In tandem, local HCI initiatives such as ArabHCI [3] have emerged to address the misrepresentation of these populations in HCI research, highlighting the fact that Western originated design methods would require delicate adaptations to suit non-Western cultural contexts. With the same approach towards inclusivity and co-existence the aim of this workshop is to bring together HCI researchers and practitioners who engage in studies and interventions within Muslim majority communities around the world. The goal is to understand the Muslim identity and perceptions around it, the unique constraints and limitations within Muslim communities and to identify core issues and concerns within these populations. We will explore the following themes: refugees and islamophobia; Muslim feminism and Digital financial services.
Item Type: | Book Section |
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Uncontrolled Keywords: | AI, ML, Data, Privacy, Security, Marginalized people, Global South, HCI4D, ICT4D, Ethics |
Subjects: | G700 Artificial Intelligence W200 Design studies |
Department: | Faculties > Arts, Design and Social Sciences > Design |
Depositing User: | John Coen |
Date Deposited: | 19 Mar 2021 12:16 |
Last Modified: | 31 Jul 2021 16:20 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/45742 |
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