Explainable AI for All - a Roadmap for Inclusive XAI for people with Cognitive Disabilities

Author:

Tielman Myrthe L.ORCID,Suárez-Figueroa Mari Carmen,Jönsson Arne,Neerincx Mark A.,Cavalcante Siebert Luciano

Funder

ERDF

Horizon Europe

España Ministerio de Ciencia e Innovación

Publisher

Elsevier BV

Reference81 articles.

1. Agarwal, C., Nguyen, A., 2020. Explaining image classifiers by removing input features using generative models, in: Proceedings of the Asian Conference on Computer Vision.

2. Anjomshoae, S., Najjar, A., Calvaresi, D., Främling, K., 2019. Explainable agents and robots: Results from a systematic literature review, in: AAMAS ’19: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, pp. 1078–1088.

3. Human-centred explanations for artificial intelligence systems;Baber;Ergonomics,2024

4. Trustworthy ai in the public sector: An empirical analysis of a swedish labor market decision-support system;Berman;Technology in Society,2024

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