Songül Tolan

According to our database, Songül Tolan authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Measuring and Fostering Diversity in Affective Computing Research.

Isabelle Hupont, Songül Tolan, Pedro Frau, Lorenzo Porcaro, Emilia Gómez

IEEE Trans. Affect. Comput., 2024

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

A Comparative User Study of Human Predictions in Algorithm-Supported Recidivism Risk Assessment.

Manuel Portela, Carlos Castillo, Songül Tolan, Marzieh Karimi-Haghighi, Antonio Andrés-Pueyo

CoRR, 2022

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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

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

Evaluating causes of algorithmic bias in juvenile criminal recidivism.

Marius Miron, Songül Tolan, Emilia Gómez, Carlos Castillo

Artif. Intell. Law, 2021

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

Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021

2020

Addressing multiple metrics of group fairness in data-driven decision making.

Marius Miron, Songül Tolan, Emilia Gómez, Carlos Castillo

CoRR, 2020

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

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019

Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges.

Songül Tolan

CoRR, 2019

Why Machine Learning May Lead to Unfairness: Evidence from Risk Assessment for Juvenile Justice in Catalonia.

Songül Tolan, Marius Miron, Emilia Gómez, Carlos Castillo

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law, 2019

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

Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour.

Emilia Gómez, Carlos Castillo, Vicky Charisi, Verónica Dahl, Gustavo Deco, Blagoj Delipetrev, Nicole Dewandre, Miguel Ángel González Ballester, Fabien Gouyon, José Hernández-Orallo, Perfecto Herrera, Anders Jonsson, Ansgar Koene, Martha A. Larson, Ramón López de Mántaras, Bertin Martens, Marius Miron, Rubén Moreno-Bote, Nuria Oliver, Antonio Puertas Gallardo, Heike Schweitzer, Núria Sebastián, Xavier Serra, Joan Serrà, Songül Tolan, Karina Vold

CoRR, 2018