Abstract / Description of output
The application of Artificial Intelligence (AI) across a wide range of domains comes with both high expectations of its benefits and dire predictions of misuse. While AI systems have largely been driven by a technology-centered design approach, the potential societal consequences of AI have mobilized both HCI and AI researchers towards researching human-centered artificial intelligence (HCAI). However, there remains considerable ambiguity about what it means to frame, design and evaluate HCAI. This paper presents a critical review of the large corpus of peer-reviewed literature emerging on HCAI in order to characterize what the community is defining as HCAI. Our review contributes an overview and map of HCAI research based on work that explicitly mentions the terms 'human-centered artificial intelligence' or 'human-centered machine learning' or their variations, and suggests future challenges and research directions. The map reveals the breadth of research happening in HCAI, established clusters and the emerging areas of Interaction with AI and Ethical AI. The paper contributes a new definition of HCAI, and calls for greater collaboration between AI and HCI research, and new HCAI constructs.
Original language | English |
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Title of host publication | Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems |
Publisher | ACM |
Pages | 1-23 |
Number of pages | 23 |
ISBN (Electronic) | 9781450394215 |
DOIs | |
Publication status | Published - 19 Apr 2023 |
Event | 2023 CHI Conference on Human Factors in Computing Systems - Hamburg, Germany Duration: 23 Apr 2023 → 28 Apr 2023 https://chi2023.acm.org/ |
Conference
Conference | 2023 CHI Conference on Human Factors in Computing Systems |
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Abbreviated title | CHI 2023 |
Country/Territory | Germany |
City | Hamburg |
Period | 23/04/23 → 28/04/23 |
Internet address |
Keywords / Materials (for Non-textual outputs)
- artificial intelligence
- critical review
- human-centered artificial intelligence
- human-centered machine learning
- machine learning