Work

1st Workshop on Exploring the Potential of XAI and HMI to Alleviate Ethical, Legal, and Social Conflicts in Automated Vehicles

Year: 2025

Type: conference-paper

Abstract: 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.

Source: International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI)

DOI: 10.1145/3744335.3749143

Authors: Krishna Sahithi Karur, Andreas Riener, Ignacio Alvarez, Philipp Wintersberger, Jeongeun Park, Seul Chan Lee

Institutions: Hanyang University, Technische Hochschule Ingolstadt, Interdisciplinary Transformation University Austria

Language: English

Topic: Explainable Artificial Intelligence (XAI)

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: National Research Foundation, National Research Foundation of Korea

Award: G4097484692