Adaptive XAI: Advancing Intelligent Interfaces for Tailored AI Explanations (2nd Edition)

Tommaso Turchi; Alessio Malizia; Fabio Paternò; Simone Borsci; Alan Chamberlain; Andrew Fish

doi:10.1145/3708557.3716159

Adaptive XAI: Advancing Intelligent Interfaces for Tailored AI Explanations (2nd Edition)

Tommaso Turchi^*
, Alessio Malizia
, Fabio Paternò
, Simone Borsci
, Alan Chamberlain
, Andrew Fish

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

5 Citations (Scopus)

Abstract

As artificial intelligence becomes increasingly embedded in daily decision-making processes, the need for effective communication between humans and AI systems grows more crucial. The Adaptive XAI (AXAI) workshop, now in its second edition, focuses on developing intelligent interfaces that can adaptively explain AI’s decision-making processes. Building on the success of our inaugural event at IUI 2024, this workshop continues to explore the intersection of Explainable AI and adaptive user interfaces, emphasizing the development of interfaces that dynamically adapt to create explanations that resonate with diverse users. In line with the human-centric principles of the Future Artificial Intelligence Research (FAIR) project, we examine how emerging technologies such as conversational agents and Large Language Models can enhance AI explainability while ensuring explanations remain malleable and responsive to users’ evolving cognitive states and contextual needs.

Original language	English
Title of host publication	IUI 2025 Companion
Subtitle of host publication	Proceedings of the 2025 International Conference on Intelligent User Interfaces
Editors	Toby Li, Fabio Paternò, Kaisa Väänänen, Luis Leiva, Davide Spano, Katrien Verbert
Place of Publication	New York, NY
Publisher	Association for Computing Machinery (ACM)
Pages	172-174
Number of pages	3
ISBN (Electronic)	979-8-4007-1409-2
DOIs	https://doi.org/10.1145/3708557.3716159
Publication status	Published - 24 Mar 2025
Event	30th International Conference on Intelligent User Interfaces, IUI 2025 - Cagliari, Italy Duration: 24 Mar 2025 → 27 Mar 2025 Conference number: 30

Conference

Conference	30th International Conference on Intelligent User Interfaces, IUI 2025
Abbreviated title	IUI 2025
Country/Territory	Italy
City	Cagliari
Period	24/03/25 → 27/03/25

Keywords

NLA
Explainable AI
Human-Centered AI
Adaptive Explainable AI

Access to Document

10.1145/3708557.3716159

Cite this

Turchi, T., Malizia, A., Paternò, F., Borsci, S., Chamberlain, A., & Fish, A. (2025). Adaptive XAI: Advancing Intelligent Interfaces for Tailored AI Explanations (2nd Edition). In T. Li, F. Paternò, K. Väänänen, L. Leiva, D. Spano, & K. Verbert (Eds.), IUI 2025 Companion: Proceedings of the 2025 International Conference on Intelligent User Interfaces (pp. 172-174). Association for Computing Machinery (ACM). https://doi.org/10.1145/3708557.3716159

Turchi, Tommaso ; Malizia, Alessio ; Paternò, Fabio et al. / Adaptive XAI : Advancing Intelligent Interfaces for Tailored AI Explanations (2nd Edition). IUI 2025 Companion: Proceedings of the 2025 International Conference on Intelligent User Interfaces. editor / Toby Li ; Fabio Paternò ; Kaisa Väänänen ; Luis Leiva ; Davide Spano ; Katrien Verbert. New York, NY : Association for Computing Machinery (ACM), 2025. pp. 172-174

@inproceedings{ff98111538ec400e88840ab4d7770689,

title = "Adaptive XAI: Advancing Intelligent Interfaces for Tailored AI Explanations (2nd Edition)",

abstract = "As artificial intelligence becomes increasingly embedded in daily decision-making processes, the need for effective communication between humans and AI systems grows more crucial. The Adaptive XAI (AXAI) workshop, now in its second edition, focuses on developing intelligent interfaces that can adaptively explain AI{\textquoteright}s decision-making processes. Building on the success of our inaugural event at IUI 2024, this workshop continues to explore the intersection of Explainable AI and adaptive user interfaces, emphasizing the development of interfaces that dynamically adapt to create explanations that resonate with diverse users. In line with the human-centric principles of the Future Artificial Intelligence Research (FAIR) project, we examine how emerging technologies such as conversational agents and Large Language Models can enhance AI explainability while ensuring explanations remain malleable and responsive to users{\textquoteright} evolving cognitive states and contextual needs.",

keywords = "NLA, Explainable AI, Human-Centered AI, Adaptive Explainable AI",

author = "Tommaso Turchi and Alessio Malizia and Fabio Patern{\`o} and Simone Borsci and Alan Chamberlain and Andrew Fish",

note = "Publisher Copyright: {\textcopyright} 2025 Copyright held by the owner/author(s).; 30th International Conference on Intelligent User Interfaces, IUI 2025, IUI 2025 ; Conference date: 24-03-2025 Through 27-03-2025",

year = "2025",

month = mar,

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doi = "10.1145/3708557.3716159",

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editor = "Toby Li and Fabio Patern{\`o} and Kaisa V{\"a}{\"a}n{\"a}nen and Luis Leiva and Davide Spano and Katrien Verbert",

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Turchi, T, Malizia, A, Paternò, F, Borsci, S, Chamberlain, A & Fish, A 2025, Adaptive XAI: Advancing Intelligent Interfaces for Tailored AI Explanations (2nd Edition). in T Li, F Paternò, K Väänänen, L Leiva, D Spano & K Verbert (eds), IUI 2025 Companion: Proceedings of the 2025 International Conference on Intelligent User Interfaces. Association for Computing Machinery (ACM), New York, NY, pp. 172-174, 30th International Conference on Intelligent User Interfaces, IUI 2025, Cagliari, Italy, 24/03/25. https://doi.org/10.1145/3708557.3716159

Adaptive XAI: Advancing Intelligent Interfaces for Tailored AI Explanations (2nd Edition). / Turchi, Tommaso; Malizia, Alessio; Paternò, Fabio et al.
IUI 2025 Companion: Proceedings of the 2025 International Conference on Intelligent User Interfaces. ed. / Toby Li; Fabio Paternò; Kaisa Väänänen; Luis Leiva; Davide Spano; Katrien Verbert. New York, NY: Association for Computing Machinery (ACM), 2025. p. 172-174.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Adaptive XAI

T2 - 30th International Conference on Intelligent User Interfaces, IUI 2025

AU - Turchi, Tommaso

AU - Malizia, Alessio

AU - Paternò, Fabio

AU - Borsci, Simone

AU - Chamberlain, Alan

AU - Fish, Andrew

N1 - Conference code: 30

PY - 2025/3/24

Y1 - 2025/3/24

N2 - As artificial intelligence becomes increasingly embedded in daily decision-making processes, the need for effective communication between humans and AI systems grows more crucial. The Adaptive XAI (AXAI) workshop, now in its second edition, focuses on developing intelligent interfaces that can adaptively explain AI’s decision-making processes. Building on the success of our inaugural event at IUI 2024, this workshop continues to explore the intersection of Explainable AI and adaptive user interfaces, emphasizing the development of interfaces that dynamically adapt to create explanations that resonate with diverse users. In line with the human-centric principles of the Future Artificial Intelligence Research (FAIR) project, we examine how emerging technologies such as conversational agents and Large Language Models can enhance AI explainability while ensuring explanations remain malleable and responsive to users’ evolving cognitive states and contextual needs.

AB - As artificial intelligence becomes increasingly embedded in daily decision-making processes, the need for effective communication between humans and AI systems grows more crucial. The Adaptive XAI (AXAI) workshop, now in its second edition, focuses on developing intelligent interfaces that can adaptively explain AI’s decision-making processes. Building on the success of our inaugural event at IUI 2024, this workshop continues to explore the intersection of Explainable AI and adaptive user interfaces, emphasizing the development of interfaces that dynamically adapt to create explanations that resonate with diverse users. In line with the human-centric principles of the Future Artificial Intelligence Research (FAIR) project, we examine how emerging technologies such as conversational agents and Large Language Models can enhance AI explainability while ensuring explanations remain malleable and responsive to users’ evolving cognitive states and contextual needs.

KW - NLA

KW - Explainable AI

KW - Human-Centered AI

KW - Adaptive Explainable AI

UR - https://www.scopus.com/pages/publications/105001670475

U2 - 10.1145/3708557.3716159

DO - 10.1145/3708557.3716159

M3 - Conference contribution

AN - SCOPUS:105001670475

SP - 172

EP - 174

BT - IUI 2025 Companion

A2 - Li, Toby

A2 - Paternò, Fabio

A2 - Väänänen, Kaisa

A2 - Leiva, Luis

A2 - Spano, Davide

A2 - Verbert, Katrien

PB - Association for Computing Machinery (ACM)

CY - New York, NY

Y2 - 24 March 2025 through 27 March 2025

ER -

Turchi T, Malizia A, Paternò F, Borsci S, Chamberlain A, Fish A. Adaptive XAI: Advancing Intelligent Interfaces for Tailored AI Explanations (2nd Edition). In Li T, Paternò F, Väänänen K, Leiva L, Spano D, Verbert K, editors, IUI 2025 Companion: Proceedings of the 2025 International Conference on Intelligent User Interfaces. New York, NY: Association for Computing Machinery (ACM). 2025. p. 172-174 doi: 10.1145/3708557.3716159

Adaptive XAI: Advancing Intelligent Interfaces for Tailored AI Explanations (2nd Edition)

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