1st Workshop on Exploring the Potential of XAI and HMI to Alleviate Ethical, Legal, and Social Conflicts in Automated Vehicles
As high-level, automated vehicles (AVs) become more present on our roads, resolving ethical, legal, and social implication (ELSI) conflicts in decision-making is a complex challenge. To possibly find solutions to such challenges, this workshop explores how Explainable AI(XAI), and Human-Machine Interfaces (HMIs) can improve transparency and increase trust, particularly in ambiguous situations. We propose a scenario-based workshop that invites participants to reflect on decision-making, expectations for explanations, and possible communication through HMI. Outcomes of this workshop will be the first step to meaningfully add XAI to ensure human-centered decisions of AVs.
Authors
- Jeongeun Park (ORCID: https://orcid.org/0000-0001-9431-952X)
- Seul Chan Lee
- Philipp Wintersberger (ORCID: https://orcid.org/0000-0001-9287-3770)
- Andreas Riener (ORCID: https://orcid.org/0000-0002-9174-8895)
- Ignacio Álvarez (ORCID: https://orcid.org/0000-0002-3705-2221)
- Karur Krishna Sahithi (ORCID: https://orcid.org/0000-0003-4660-9148)
Institutions
- Intelligent Systems Research (United States) (US)
- Technische Hochschule Ingolstadt (DE)
- Hanyang University (KR)
Publication Details
- Published
- 2025-09-22
- DOI
- https://doi.org/10.1145/3744335.3749143
- Citations
- 1
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 2.37