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Message posted on 04/01/2021

Reminder: CFP - from Explainable AI to "Graspable AI"

apologies for cross-posting Dear all, Here is a reminder that we are hosting a virtual studio (workshop) on "Graspable AI” at ACM TEI 2021 conference. The participations are open to everyone with or without position papers. Please read the CFP below. Thank you Maliheh Ghajargar, Ph.D. malihehghajargar.com

-- From “Explainable AI” to “Graspable AI” Held in conjunction with ACM Tangible, Embedded, and Embodied Interaction (TEI), Virtual, February 19th, 2021 Studio website: https://sites.google.com/view/graspable-ai/ ACM TEI 2021: https://tei.acm.org/2021/ Intelligent systems promise to support diverse use situations, improve task performance and accuracy, increase transparency, and broaden participation in computing. However, an interaction modality of intelligent systems that has been less explored is Tangible Embodied Interaction (TEI). This studio brings together designers, artists and HCI researchers around topics of tangible and explainable AI/ML. In the studio, we will map opportunities that TEI in its broadest sense, including TUI, embodied interaction, and physical computing can offer to the design of intelligent systems. We use the phrase Graspable AI, referencing two senses of the word to grasp: taking something into one’s hand and when the mind comprehends an idea. This studio focuses on three successive approaches to Graspable AI: _Graspable forms are synthesized and unified wholes capable of conveying a meaning, a message or a state (classifying, learning or explaining) manifest in physical forms; they are often self-explanatory, intuitive, and relatable. This studio will explore how such forms of ML/AI models can become basic units of analysis for graspable AI. _Graspable forms over time: In a learning system, meaningful units change over time, increasing the complexity of the outcomes and predictions. We ask how temporality influences the tangible forms of algorithms, considering metaphors of biological growth, emergence, and structure-preserving transformations. _Graspable forms in the world: Design criticism suggests that artifact form structures and integrates diverse dimensions of design, including intentionality, user experiences, and the sociocultural contexts in which the artifact was produced or consumed. We ask how tangible forms, as they undergo change and transformation, acquire and shape meanings in the world.

Participations are open for everyone with or without position papers, however we recommend interested participants to submit a position paper (2–4 pages, excluding the references) in the ACM Extended Abstracts Submission Template (Word or LaTeX) or as visual artifacts to graspableai@googlegroups.com by the end of January 25th. Possible contributions include (but not limited to): _Theoretical considerations: using TEI theoretical frameworks to analyze, interpret and/or frame explainable AI _Case studies at any stage: proposed, preliminary, or completed case studies that explore TEI with AI/ML systems. _Prepared data: any physicalizations of data, preparations of data, or data sets _Methods/approaches: new/adapted methods, design tactics, or approaches to making data more graspable _Design collections: annotated and visual collections of artifacts, design concepts, critical writing about specific designs or aspects of designs _Demonstrations/Performances: visual stories, illustrations, physical objects and videos (e.g. dance or music performances, short movies, animations) which visualize or perform the concept of Graspable AI, or whose graspability is relevant to the studio three main topic areas that are mentioned above.

Important Dates: Submission deadline: January 25th Workshop date (virtual): February 19th

Organizers: Maliheh Ghajargar, Malmo University, Sweden Jeffrey Bardzell, Pennsylvania State University, USA Alison Smith-Renner, Decisive Analytics Corporation, USA Peter Gall Krogh, Aarhus University, Denmark Kristina Höök, KTH, Sweden David Cuartielles, Malmö University, Sweden Laurens Boer, ITU, Denmark Mikael Wiberg, Umeå University, Sweden


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