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Workshop on Invisible AI-driven HCI Systems: When, Why and How
Rochester Institute of Technology, United States.ORCID iD: 0000-0002-8730-0916
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0002-7738-1601
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0003-3924-7484
Institute of Digital Games University of Malta, Malta.ORCID iD: 0000-0001-5554-1961
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2020 (English)In: NordiCHI '20: Proceedings of the 11th Nordic Conference on Human-Computer Interaction, Extended Abstract: Shaping Experiences, Shaping Society / [ed] Ilja Šmorgun, Gerd Berget, ACM Digital Library, 2020Conference paper, Published paper (Refereed)
Abstract [en]

The InvisibleAI (InvAI’20) workshop aims to systematically discuss a growing class of interactive systems that invisibly remove some decision-making tasks away from humans to machines, based on recent advances in artificial intelligence (AI), data science, and sensor or actuation technology. While the interest in the affordances as well as the risks of hidden pervasive AI are high on the agenda in public debate, discussion on the topic is needed within the human-computer interaction (HCI) community. In particular, we want to gather insights, ideas, and models for approaching the use of barely noticeable AI decision-making in systems design from a human-centered perspective, so as to make the most out of the automated systems and algorithms that support human activity both as designers and users. Concurrently, these systems should safeguard that humans remain in charge when it counts (high stakes decisions, privacy, monitoring lack of explainability and fairness, etc.). What to automate and what not to automate is often a system designer’s choice [8]. By taking the established concept of explicit interaction between a system and its user as a point of departure, and inviting authors to provide examples from their own research, we aim to stimulate dynamic discussion while keeping the workshop concrete and system design-focused. The workshop especially directs itself to participants from the interaction design, AI, and HCI communities. The targeted scientific outcome of the workshop is an up-to-date ontology of invisible AI-HCI systems and hybrid human-AI collaboration mechanisms, and approaches. Additionally, we expect that the workgroups and the roundtables will provide starting points shaping continued discussions, new collaborations, and innovative scientific contributions that springboard from the workgroups’ findings. The focus of the proposed workshop involves the bridging of two spaces of computational research that impact user experiences and societal domains (HCI and AI). Thus, the proposed workshop topic aligns well with the theme of this year’s NordiCHI conference which is Shaping Experiences, Shaping Society.

Place, publisher, year, edition, pages
ACM Digital Library, 2020.
Keywords [en]
Human-computer interaction, artificial intelligence, human-machine collaboration
National Category
Computer Systems
Research subject
Interaktionsdesign
Identifiers
URN: urn:nbn:se:mau:diva-37734DOI: 10.1145/3419249.3420099Scopus ID: 2-s2.0-85123040047ISBN: 978-1-4503-7579-5 (print)OAI: oai:DiVA.org:mau-37734DiVA, id: diva2:1514257
Conference
NordiCHI '20, the 11th Nordic Conference on Human-Computer Interaction, Tallinn, Estonia, October, 2020
Available from: 2021-01-04 Created: 2021-01-04 Last updated: 2023-10-24Bibliographically approved

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Alvarez, AlbertoFont, JoséPederson, ThomasSalo, Johan

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Ovesdotter Alm, CeciliaAlvarez, AlbertoFont, JoséLiapis, AntoniosPederson, ThomasSalo, Johan
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