Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour. - Emilia Gómez; Carlos Castillo 001; Vicky Charisi; Verónica Dahl; Gustavo Deco; Blagoj Delipetrev; Nicole Dewandre; Miguel Ángel González Ballester; Fabien Gouyon; José Hernández-Orallo; Perfecto Herrera; Anders Jonsson 001; et al. (CoRR, 2018)

A multidisciplinary task-based perspective for evaluating the impact of AI autonomy and generality on the future of work. - Enrique Fernández-Macías; Emilia Gómez; José Hernández-Orallo; Bao Sheng Loe; Bertin Martens; Fernando Martínez-Plumed; Songül Tolan (CoRR, 2018)

Why Machine Learning May Lead to Unfairness: Evidence from Risk Assessment for Juvenile Justice in Catalonia. - Songül Tolan; Marius Miron; Emilia Gómez; Carlos Castillo 001 (ICAIL, 2019)

Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges. - Songül Tolan (CoRR, 2019)

Does AI Qualify for the Job?: A Bidirectional Model Mapping Labour and AI Intensities. - Fernando Martínez-Plumed; Songül Tolan; Annarosa Pesole; José Hernández-Orallo; Enrique Fernández-Macías; Emilia Gómez (AIES, 2020)

Addressing multiple metrics of group fairness in data-driven decision making. - Marius Miron; Songül Tolan; Emilia Gómez; Carlos Castillo 001 (CoRR, 2020)

How diverse is the ACII community? Analysing gender, geographical and business diversity of Affective Computing research. - Isabelle Hupont; Songül Tolan; Ana Freire; Lorenzo Porcaro; Sara Estevez; Emilia Gómez (ACII, 2021)

Evaluating causes of algorithmic bias in juvenile criminal recidivism. - Marius Miron; Songül Tolan; Emilia Gómez; Carlos Castillo 001 (Artif. Intell. Law, 2021)

Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks. - Songül Tolan; Annarosa Pesole; Fernando Martínez-Plumed; Enrique Fernández-Macías; José Hernández-Orallo; Emilia Gómez (J. Artif. Intell. Res., 2021)

Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks (Extended Abstract). - Songül Tolan; Annarosa Pesole; Fernando Martínez-Plumed; Enrique Fernández-Macías; José Hernández-Orallo; Emilia Gómez (IJCAI, 2022)

Monitoring Diversity of AI Conferences: Lessons Learnt and Future Challenges in the DivinAI Project. - Isabelle Hupont; Emilia Gómez; Songül Tolan; Lorenzo Porcaro; Ana Freire (CoRR, 2022)

Measuring and Fostering Diversity in Affective Computing Research. - Isabelle Hupont; Songül Tolan; Pedro Frau; Lorenzo Porcaro; Emilia Gómez (IEEE Trans. Affect. Comput., 2024)

A comparative user study of human predictions in algorithm-supported recidivism risk assessment. - Manuel Portela; Carlos Castillo 001; Songül Tolan; Marzieh Karimi-Haghighi; Antonio Andrés-Pueyo (Artif. Intell. Law, 2025)