2026-06-27T01:06:34Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/1311022026-01-28T01:13:09Zcom_20.500.14352_14col_20.500.14352_20

Houghton Torralba, Miguel Shu, Ziwei Carrasco González, Ramón Alberto Blasco López, María Francisca 2026-01-27T12:06:30Z 2026-01-27T12:06:30Z 2026 Houghton Torralba, M., Shu, Z., Carrasco, RA., Blasco López, M.F. (2026). Interpretability and the Measurement of Ethical Foundations in Artificial Intelligence. In: Alvarez, I., Arias-Oliva, M., Dediu, AH., Silva, N. (eds) Ethical and Social Impacts of Information and Communication Technology. ETHICOMP 2025. Lecture Notes in Computer Science, vol 15939. Springer, Cham. https://doi.org/10.1007/978-3-032-01429-0_3 978-3-032-01429-0 0302-9743 10.1007/978-3-032-01429-0_3 https://hdl.handle.net/20.500.14352/131102 1611-3349 https://doi.org/10.1007/978-3-032-01429-0_3 https://link.springer.com/chapter/10.1007/978-3-032-01429-0_3 With the rapid development of Artificial Intelligence (AI), its integration into decision-making processes across various sectors is accelerating. The demand for interpretability and ethical accountability has become more urgent than ever. This work explores the critical intersection of these two domains. It begins by examining the concept of interpretability in AI, then turns to the ethical foundations of AI. This work also examines how these intertwined concepts of interpretability and ethics are pivotal in advancing corporate social responsibility (CSR) by fostering transparency, enabling responsible governance, and addressing societal impacts such as algorithmic bias, job displacement, and environmental concerns. Integrating interpretability and ethics is essential for building transparent, accountable, and demonstrably ethically sound AI systems that proactively support robust CSR objectives and ensure profound alignment with human values and fundamental rights. This crucial integration helps create equitable opportunities for all, paving the way for a genuinely responsible and sustainable technological future that benefits society broadly and promotes inclusive growth. eng restricted access Interpretability and the measurement of ethical foundations in artificial intelligence conference paper