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Sökning: id:"swepub:oai:DiVA.org:kth-295570" > From "Explainable A...

From "Explainable AI" to "Graspable AI"

Ghajargar, Maliheh, 1980- (författare)
Malmö universitet,Institutionen för konst, kultur och kommunikation (K3),Internet of Things and People (IOTAP)
Bardzell, Jeffrey (författare)
College of Information Sciences and Technology, Pennsylvania State University, United States
Renner, Alison Smith (författare)
Machine Learning Visualization Lab Decisive Analytics Corporation, United States
visa fler...
Krogh, Peter Gall (författare)
Department of Enginering, Aarhus University, Denmark
Höök, Kristina, 1964- (författare)
KTH,Medieteknik och interaktionsdesign, MID,Media Technology and Interaction Design, KTH, Royal Institute of Technology, Sweden
Cuartielles, David (författare)
Malmö universitet,Institutionen för konst, kultur och kommunikation (K3)
Boer, Laurens (författare)
IT University Copenhagen, Denmark
Wiberg, Mikael, 1974- (författare)
Umeå universitet,Institutionen för informatik,Umeå University, Sweden
visa färre...
 (creator_code:org_t)
2021-02-14
2021
Engelska.
Ingår i: TEI 2021 - Proceedings of the 15th International Conference on Tangible, Embedded, and Embodied Interaction. - New York, NY, USA : Association for Computing Machinery (ACM). - 9781450382137
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
Stäng  
  • Since the advent of Artificial Intelligence (AI) and Machine Learning (ML), researchers have asked how intelligent computing systems could interact with and relate to their users and their surroundings, leading to debates around issues of biased AI systems, ML black-box, user trust, user’s perception of control over the system, and system’s transparency, to name a few. All of these issues are related to how humans interact with AI or ML systems, through an interface which uses different interaction modalities. Prior studies address these issues from a variety of perspectives, spanning from understanding and framing the problems through ethics and Science and Technology Studies (STS) perspectives to finding effective technical solutions to the problems. But what is shared among almost all those efforts is an assumption that if systems can explain the how and why of their predictions, people will have a better perception of control and therefore will trust such systems more, and even can correct their shortcomings. This research field has been called Explainable AI (XAI). In this studio, we take stock on prior efforts in this area; however, we focus on using Tangible and Embodied Interaction (TEI) as an interaction modality for understanding ML. We note that the affordances of physical forms and their behaviors potentially can not only contribute to the explainability of ML systems, but also can contribute to an open environment for criticism. This studio seeks to both critique explainable ML terminology and to map the opportunities that TEI can offer to the HCI for designing more sustainable, graspable and just intelligent systems.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Annan teknik -- Interaktionsteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Other Engineering and Technologies -- Interaction Technologies (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Människa-datorinteraktion (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Human Computer Interaction (hsv//eng)
HUMANIORA  -- Konst -- Design (hsv//swe)
HUMANITIES  -- Arts -- Design (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)

Nyckelord

Artificial Intelligence
Explainable AI
Interaction Design
Machine Learning
Tangible Embodied Interaction
TEI
XAI
Human-computer Interaction
Människa-datorinteraktion
Interaktionsdesign

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