TY - GEN
T1 - From "Explainable AI" to "Graspable AI"
AU - Ghajargar, Maliheh
AU - Bardzell, Jeffrey
AU - Renner, Alison Smith
AU - Krogh, Peter Gall
AU - Höök, Kristina
AU - Cuartielles, David
AU - Boer, Laurens
AU - Wiberg, Mikael
N1 - Publisher Copyright:
© 2021 Owner/Author.
PY - 2021/2/14
Y1 - 2021/2/14
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85102059863&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85102059863&partnerID=8YFLogxK
U2 - 10.1145/3430524.3442704
DO - 10.1145/3430524.3442704
M3 - Conference contribution
AN - SCOPUS:85102059863
T3 - TEI 2021 - Proceedings of the 15th International Conference on Tangible, Embedded, and Embodied Interaction
BT - TEI 2021 - Proceedings of the 15th International Conference on Tangible, Embedded, and Embodied Interaction
PB - Association for Computing Machinery, Inc
T2 - 15th International Conference on Tangible, Embedded, and Embodied Interaction, TEI 2021
Y2 - 14 February 2021 through 19 February 2021
ER -