Publications

Corrêa, Nicholas Kluge, et al. "TeenyTinyLlama: open-source tiny language models trained in Brazilian Portuguese." arXiv preprint arXiv:2401.16640 (2024).
Corrêa, Nicholas Kluge, et al. "Crossing the principle–practice gap in AI ethics with ethical problem-solving." AI and Ethics (2024): 1-18.
S. Genovesi, J.M. Mönig, A. Schmitz, et al. (2023). Standardizing fairness-evaluation procedures: interdisciplinary insights on machine learning algorithms in creditworthiness assessments for small personal loans. AI Ethics. https://doi.org/10.1007/s43681-023-00291-8.
Genovesi, S., Kaesling, K., Robbins, S. (eds) (2023). Recommender Systems: Legal and Ethical Issues. The International Library of Ethics, Law and Technology, vol 40. Springer, Cham. https://doi.org/10.1007/978-3-031-34804-4.
Genovesi, S. (2023). Digital Labor as a Structural Fairness Issue in Recommender Systems. In: Genovesi, S., Kaesling, K., Robbins, S. (eds) Recommender Systems: Legal and Ethical Issues. The International Library of Ethics, Law and Technology, vol 40. Springer, Cham. https://doi.org/10.1007/978-3-031-34804-4_5.
S. Genovesi, J. M. Mönig, "Acknowledging Sustainability in the Framework of Ethical Certification for AI", in Sustainability 2022, 14(7), 4157; https://doi.org/10.3390/su14074157.
S. Genovesi, "Digital Rights in Times of Pandemic", in: W. Gephart, J. Leko, In the Realm of Corona Normativities II, Frankfurt am Main, Klostermann, 2022, p. 345 - 354.
A. Cremers, A. Englander, M. Gabriel, D. Hecker, M. Mock, M. Poretschkin, J. Rosenzweig, F. Rostalski, J. Sicking, J. Volmer, J. Voosholz, A. Voss, S. Wrobel (2019), Trustworthy use of Artificial Intelligence, Sankt Augustin: Fraunhofer-Institut für Intelligente Analyse und Informationssysteme IAIS.

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