Dottorato in Ingegneria Informatica E Dei Sistemi , 33o ciclo (2017-2020)
Dottorato concluso nel 2021
Tesi:
Algorithms for Social Good: A Study of Fairness and Bias in Automated Data-Driven Decision-Making Systems (Abstract)
Tutori:
Juan Carlos De MartinPubblicazioni
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- Beretta, Elena (2021)
Algorithms for Social Good: A Study of Fairness and Bias in Automated Data-Driven Decision-Making Systems. relatore: DE MARTIN, JUAN CARLOS; Bruno Lepri, 33. XXXIII Ciclo, P.: 167
Doctoral Thesis - Beretta, Elena; Vetrò, Antonio; Lepri, Bruno; De Martin, Juan Carlos (2021)
Equality of Opportunity in Ranking: a Fair-Distributive Model. In: Second International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2021), Online, April 1, 2021, pp. 51-63. ISBN: 978-3-030-78818-6
Contributo in Atti di Convegno (Proceeding) - Beretta, Elena; Vetro', Antonio; Lepri, Bruno; De Martin, Juan Carlos (2021)
Detecting discriminatory risk through data annotation based on Bayesian inferences. In: ACM Conference on Fairness, Accountability, and Transparency 2021 (ACM FAccT 2021), Online, March 3-10, 2021, pp. 794-804
Contributo in Atti di Convegno (Proceeding) - Beretta, E.; Santangelo, A.; Lepri, B.; Vetro, A.; De Martin, J. C. (2019)
The Invisible Power of Fairness. How Machine Learning Shapes Democracy. In: 32nd Canadian Conference on Artificial Intelligence, Canadian AI 2019, Kingston, ON (Canada), 2019, pp. 238-250. ISBN: 978-3-030-18304-2
Contributo in Atti di Convegno (Proceeding) - Beretta, Elena; Vetro', Antonio; Bruno, Lepri; DE MARTIN, JUAN CARLOS (2019)
Ethical and Socially-Aware Data Labels. In: SIMBig 2018. 5th International Conference on Information Management and Big Data, Lima (Perú), 3-5/09/2018, pp. 320-327. ISBN: 978-3-030-11679-8
Contributo in Atti di Convegno (Proceeding) - Vetrò, Antonio; Santangelo, Antonio; Beretta, Elena; De Martin, Juan Carlos (2019)
AI: from rational agents to socially responsible agents. In: DIGITAL POLICY, REGULATION AND GOVERNANCE, vol. 21, pp. 291-304. ISSN 2398-5038
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