|  | Vol-3961 urn:nbn:de:0074-3961-X Copyright © 2025 for the individual papers by the papers' authors. Copyright © 2025 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# AIMMES 2025
AI bias: Measurements, Mitigation, Explanation Strategies

### Proceedings of the 2nd Workshop on AI bias: Measurements, Mitigation, Explanation Strategies

### Barcelona, Spain, March 20, 2025.

Edited by

### Roberta Calegari *
Carlos Castillo **
Symeon Papadopoulos ***
Roger Soraa ****

* University of Bologna, Department of Computer Science and Engineering, Bologna, Italy
** ICREA and Universitat Pompeu Fabra -, Barcelona, Spain
*** CERTH/ITI , Thessaloniki, Greece
*** NTNU Centre for Technology and Society , Trondheim, Norway

## Table of Contents

- Summary: There were 27 papers submitted for peer-review to this workshop. Out of these, 8 papers were accepted for this volume, 8 as regular papers and 0 as short papers.

### Papers

- A Survey on Human Resource Management Under the AI Act: Ethical, Practical, and Regulatory Perspectives
  Nicola Alboré, Alessandro Castelnovo, Matteo Della Valle, Andrea Ermellino;, Luca Puggini, Silvia Tessaro
- Assessing Discrimination Risk from Generated Content in the Wild
  Iris S. Bore, Robindra Prabhu, Jacob Sjødin
- Measuring Bias in German Prompts to GPT Models Using Contact Hypothesis
  Catherine Ikae, Mascha Kurpicz-Briki
- The COMPAS Case: An Educational Journey for Explaining Fairness in AI-based Applications
  Antonio Rodà
- Fairness and Accountability in AI-Driven Corporate Social Responsibility: Insights from Small and Medium-Sized Enterprises
  Dorleta Urrutia-Onate, Julen Bollain, Enrique Onieva, Asier Perallos
- Algorithmic Imaginary of AI for Recruitment: Perceptions and Experiences of AI Use from HR Practitioners
  Silvia Ecclesia
- Shifting Paradigms: Value Sensitive Design for Fair AI Recruitment
  Alexandre Puttick, Carlotta Rigotti, Ahmed Abouzeid, Eduard Fosch-Villaronga, Mascha Kurpicz-Briki, Pinar Øztürk
- Addressing Bias and Data Scarcity in AI-Based Skin Disease Diagnosis with Non-Dermoscopic Images
  Chiara Bellatreccia, Daniele Zama, Arianna Dondi, Luca Pierantoni, Andreozzi Laura, Iria Neri, Marcello Lanari, Andrea Borghesi, Roberta Calegari

2025-04-05: submitted by Roberta Calegari, metadata incl. bibliographic data published under Creative Commons CC0
2025-05-12: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|