Conference Paper/Proceeding/Abstract 6 views
Maintaining Coherence in Explainable AI: Strategies for Consistency Across Time and Interaction
Alan Dix,
Tommaso Turchi 
,
Ben Wilson ,
Alessio Malizia ,
Anna Monreale ,
Matt Roach
,
Ben Wilson ,
Alessio Malizia ,
Anna Monreale ,
Matt Roach
SYNERGY 2025 – Designing and Building Hybrid Human–AI Systems, Volume: 4074
Swansea University Authors:
Alan Dix, Ben Wilson , Matt Roach
Full text not available from this repository: check for access using links below.
Abstract
Can we create explanations of artificial intelligence and machine learning that have some level of consistency over time as we might expect of a human explanation? This paper explores this issue, and offers several strategies for either maintaining a level of consistency or highlighting when and why...
| Published in: | SYNERGY 2025 – Designing and Building Hybrid Human–AI Systems |
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| ISSN: | 1613-0073 |
| Published: |
CEUR-WS.org
2025
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa71398 |
| Abstract: |
Can we create explanations of artificial intelligence and machine learning that have some level of consistency over time as we might expect of a human explanation? This paper explores this issue, and offers several strategies for either maintaining a level of consistency or highlighting when and why past explanations might appear inconsistent with current decisions. |
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| Keywords: |
human-AI interaction, explainable AI, synergistic human-AI systems, user interface, artificial intelligence, design, adaptive interfaces, user experience |
| College: |
Faculty of Science and Engineering |
| Funders: |
Tango Project (EU Grant Agreement no. 101120763 - TANGO) |