Co-designing AI Futures: Integrating AI Ethics, Social Computing, and Design
Abstract
As recent scholars have noted, there is little discourse amongst the HCI, interaction design, and UX communities on topics of AI and their relationship to design practice, a gap this workshop aims to address. Bringing together practitioners and researchers from a variety of backgrounds, this workshop sets out three goals: (1) identify case studies and projects at the intersection of HCI and AI, highlighting their ethical dimensions; (2) identify the chief challenges to HCI and AI collaborations and strategies to address them; and (3) foster a community for continued discourse and development on the intersections between AI Ethics, social computing, and design.
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Active collaboration among a wide and inclusive range of stakeholders in the development and deployment stages will improve the sustainability potential of AI.
“Active collaboration among a wide and inclusive range of stakeholders-ideally in the form of quadruple helix model participation of public, private, academia and community-in the development and deployment stages, in particular, will improve the caliber of the sustainability potential of AI [180,181].”
From The sustainability of artificial intelligence: an urbanistic viewpoint from the lens of smart and sustainable cities (2020) · cites this paper as [181]
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References 12 · Cited by 38
- Authors
- Loi, D., Wolf, C. T., Blomberg, J. L., Arar, R., & Brereton, M.
- Affiliations
- Intel (United States) (US)
- IBM Research - Almaden (US)
- Khan Academy (US)
- Queensland University of Technology (AU)
- Venue
- Companion Publication of the 2019 on Designing Interactive Systems Conference 2019 Companion
- Publisher
- ACM
- Published
- 2019-06-18
- Pages
- 381-384
- OpenAlex
- W2952249708
- Cited by
- 38
- References
- 12
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 8 · 2023: 7 · 2022: 4 · 2021: 5 · 2020: 8 · 2019: 1
- FWCI
- 3.64
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM Conference Companion Publication on Designing Interactive Systems (DIS Companion) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Keywords
- AI ethics, human-computer interaction, interaction design, user experience design, co-design, social computing, interdisciplinary collaboration, design practice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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