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Where is the human? Bridging the gap between AI and HCI

Inkpen, K; Veale, M; Chancellor, S; De Choudhury, M; Baumer, EPS; (2019) Where is the human? Bridging the gap between AI and HCI. In: Brewster, S and Fitzpatrick, G and Cox, A and Kostakos, V, (eds.) CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM): New York, NY, USA. Green open access

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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.

Type: Proceedings paper
Title: Where is the human? Bridging the gap between AI and HCI
Event: 2019 CHI Conference on Human Factors in Computing Systems (CHI '19)
ISBN-13: 9781450359719
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3290607.3299002
Publisher version: https://doi.org/10.1145/3290607.3299002
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 > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Laws
URI: https://discovery.ucl.ac.uk/id/eprint/10078723
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