Where is the Human?: Bridging the Gap Between AI and HCI
Abstract
In recent years, AI systems have become both more powerful and increasingly promising for integration in a variety of application areas. Attention has also been called to the social challenges these systems bring, particularly in how they might fail or even actively disadvantage marginalised social groups, or how their opacity might make them difficult to oversee and challenge. In the context of these and other challenges, the roles of humans working in tandem with these systems will be important, yet the HCI community has been only a quiet voice in these debates to date. This workshop aims to catalyse and crystallise an agenda around HCI's engagement with AI systems. Topics of interest include explainable and explorable AI; documentation and review; integrating artificial and human intelligence; collaborative decision making; AI/ML in HCI Design; diverse human roles and relationships in AI systems; and critical views of AI.
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A growing body of research is beginning to demonstrate the importance of user-centered design for work on ML tools.
“a growing body of research is beginning to demonstrate the importance of user-centered design for work on ML tools [57,122].”
From Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty (2021) · cites this paper as [57]
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- Authors
- Inkpen, K., Chancellor, S., De Choudhury, M., Veale, M., & Baumer, E. P. S.
- Affiliations
- Microsoft (United States) (US)
- Georgia Institute of Technology (US)
- Georgia Institute of Technology, Atlanta, GA, USA
- University College London (GB)
- Lehigh University (US)
- Venue
- Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2019-05-02
- Pages
- 1-9
- OpenAlex
- W2942542459
- Cited by
- 54
- References
- 13
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 6 · 2023: 9 · 2022: 6 · 2021: 8 · 2020: 9 · 2019: 4
- FWCI
- 6.82
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) (publishedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Keywords
- human-AI collaboration, explainable AI, AI opacity, algorithmic bias, collaborative decision-making, human oversight of AI
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