Tommaso Turchi
Adaptive XAI: Towards Intelligent Interfaces for Tailored AI Explanations
Turchi, Tommaso; Malizia, Alessio; Paternò, Fabio; Borsci, Simone; Chamberlain, Alan
Authors
Alessio Malizia
Fabio Paternò
Simone Borsci
Dr ALAN CHAMBERLAIN alan.chamberlain@nottingham.ac.uk
Principal Research Fellow
Abstract
As the integration of Artificial Intelligence into daily decision-making processes intensifies, the need for clear communication between humans and AI systems becomes crucial. The Adaptive XAI (AXAI) workshop focuses on the design and development of intelligent interfaces that can adaptively explain AI’s decision-making processes and our engagement with those processes. In line with the human-centric principles of the Future Artificial Intelligence Research (FAIR) project , this workshop seeks to explore, understand and develop interfaces that dynamically adapt, thereby creating explanations of AI-based systems that both relate to and resonate with a range of users with different explanation-based requirements. As AI’s role in our lives becomes ever more embedded, the ways in which such systems explain elements about the system need to be malleable and responsive to the ever-evolving individual’s cognitive state, relating to contextual needs/focus and to the social setting. For instance, easy to use and effective interaction modalities like Visual Languages can provide users with intuitive mechanisms to interact with, adjust, and reshape AI narratives. This ensures that a richer, more tailored understanding can be provided, allowing explanations to emerge in line with the users’ demands and the ever-shifting contexts they find themselves in, both as individuals and as part of a group. The Adaptive XAI workshop extends an invitation to scholars, designers, and technologists to collaboratively shape the future of human-XAI interplay.
Citation
Turchi, T., Malizia, A., Paternò, F., Borsci, S., & Chamberlain, A. (2024, March). Adaptive XAI: Towards Intelligent Interfaces for Tailored AI Explanations. Presented at 29th International Conference on Intelligent User Interfaces, Greenville, South Carolina, USA
Presentation Conference Type | Edited Proceedings |
---|---|
Conference Name | 29th International Conference on Intelligent User Interfaces |
Start Date | Mar 18, 2024 |
End Date | Mar 21, 2024 |
Acceptance Date | Mar 18, 2024 |
Online Publication Date | Apr 5, 2024 |
Publication Date | 2024-03 |
Deposit Date | Apr 7, 2024 |
Publicly Available Date | Nov 7, 2024 |
Publisher | Association for Computing Machinery (ACM) |
Peer Reviewed | Peer Reviewed |
Pages | 119-121 |
Book Title | IUI '24 Companion: Companion Proceedings of the 29th International Conference on Intelligent User Interfaces |
ISBN | 9798400705090 |
DOI | https://doi.org/10.1145/3640544.3645253 |
Keywords | AI, Explainable, Intelligent, User, Interface, HCI, Design |
Public URL | https://nottingham-repository.worktribe.com/output/33294149 |
Publisher URL | https://dl.acm.org/doi/10.1145/3640544.3645253 |
Files
Adaptive XAI Towards Intelligent Interfaces for Tailored AI Explanations
(241 Kb)
PDF
You might also like
Augmenting musical instruments with digital identities
(2024)
Journal Article
How Artists Improvise and Provoke Robotics
(2024)
Presentation / Conference Contribution
Designing Prosocial More-Than-Human Rhetoric within Experiential Futures
(2024)
Presentation / Conference Contribution
Responsibility and Regulation: Exploring Social Measures of Trust in Medical AI
(2024)
Presentation / Conference Contribution
Making of an Adaptive Podcast that Engenders Trust through Data Negotiability
(2024)
Presentation / Conference Contribution
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search