Bachelor's Degree Programme in
Linguistic and Cultural Mediation

Linguistic and Cultural Mediation [LT5-21-21]
Enrolled in a.y. 2021/2022

Teresa SCANTAMBURLO

Qualifica
Ricercatrice
Telefono
041 234 8442
E-mail
teresa.scantamburlo@unive.it
SSD
Informatica [INFO-01/A]
Sito web
www.unive.it/persone/teresa.scantamburlo (scheda personale)
 http://www.dais.unive.it/~scantamburlo/
Struttura
Dipartimento di Scienze Ambientali, Informatica e Statistica
Sito web struttura: https://www.unive.it/dais
Stanza: studio Z.B17 / Assegnisti B2 (edificio Zeta B)
Struttura
Centro Europeo Interuniversitario di Ricerca - European Center for Living Technology
Sito web struttura: https://www.unive.it/eclt
Research Institute
Research Institute for Social Innovation
Research Institute
Research Institute for Complexity

Pubblicazioni

Anno Tipologia Pubblicazione
Anno Tipologia Pubblicazione
2024 Articolo su rivista Scantamburlo, Teresa; Cortés, Atia; Foffano, Francesca; Barrué, Cristian; Distefano, Veronica; Pham, Long; Fabris, Alessandro Artificial Intelligence across Europe: A Study on Awareness, Attitude and Trust in IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE, vol. 6, pp. 1-14 (ISSN 2691-4581)
DOI - URL correlato - Scheda ARCA: 10278/5082289
2024 Articolo su rivista Scantamburlo, Teresa; Baumann, Joachim; Heitz, Christoph On prediction-modelers and decision-makers: why fairness requires more than a fair prediction model in AI & SOCIETY, vol. - (ISSN 0951-5666)
DOI - URL correlato - Scheda ARCA: 10278/5082293
2024 Articolo in Atti di convegno Pham, Long; O'Sullivan, Barry; Scantamburlo, Teresa; Mai, Tai Addressing Digital and AI Skills Gaps in European Living Areas: A Comparative Analysis of Small and Large Communities , Proceedings of the AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, vol. 38, pp. 23119-23127, Convegno: 38th AAAI Conference on Artificial Intelligence, AAAI 2024 (ISSN 2374-3468)
DOI - Scheda ARCA: 10278/5082291
2024 Articolo in Atti di convegno Scantamburlo, Teresa; Falcarin, Paolo; Veneri, Alberto; Fabris, Alessandro; Gallese, Chiara; Billa, Valentina; Rotolo, Francesca; Marcuzzi, Federico Software Systems Compliance with the AI Act: Lessons Learned from an International Challenge , Proceedings of the 2nd International Workshop on Responsible AI Engineering, Association for Computing Machinery, pp. 44-51, Convegno: 2024 IEEE/ACM International Workshop on Responsible AI Engineering (RAIE), 24/04/2024 (ISBN 9798400705724)
DOI - URL correlato - Scheda ARCA: 10278/5066021
2023 Articolo su rivista Santoro, Arnaldo; Galeazzi, Alessandro; Scantamburlo, Teresa; Baronchelli, Andrea; Quattrociocchi, Walter; Zollo, Fabiana Analyzing the changing landscape of the Covid-19 vaccine debate on Twitter in SOCIAL NETWORK ANALYSIS AND MINING, vol. 13 (ISSN 1869-5450)
DOI - Scheda ARCA: 10278/5037680
2023 Articolo in Atti di convegno Scantamburlo Teresa ; Grandi Giovanni A ‘Little Ethics’ for Algorithmic Decision-Making , Proceedings of the 2nd European Workshop on Algorithmic Fairness Winterthur, Switzerland, June 7th to 9th, 2023., CEUR, Convegno: European Workshop on Algorithmic Fairness
- URL correlato - Scheda ARCA: 10278/5036284
2023 Articolo in Atti di convegno Gallese, Chiara; Scantamburlo, Teresa; Manzoni, Luca; Nobile, Marco S. Investigating Semi-Automatic Assessment of Data Sets Fairness by Means of Fuzzy Logic , 2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Piscataway, IEEE, pp. 1-10, Convegno: 2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 29/08/2023 - 31/08/2023 (ISBN 979-8-3503-1017-7)
DOI - Scheda ARCA: 10278/5042160
2023 Articolo in Atti di convegno Scantamburlo T.; Crafa S.; Grandi G. Moral Exercises for Human Oversight of Algorithmic Decision-Making , CEUR Workshop Proceedings, CEUR-WS, vol. 3537, pp. 57-66, Convegno: 22nd International Conference of the Italian Association for Artificial Intelligence, AIxIA 2023 DP 2023, 2023 (ISSN 1613-0073)
- Scheda ARCA: 10278/5046332
2023 Articolo in Atti di convegno Milella Frida, Chiara Natali, Teresa Scantamburlo, Andrea Campagner, Federico Cabitza The Impact of Gender and Personality in Human-AI Teaming: The Case of Collaborative Question Answering in Milella Frida, Chiara Natali, Teresa Scantamburlo, Andrea Campagner, Federico Cabitza, Human-Computer Interaction – INTERACT 2023 19th IFIP TC13 International Conference York, UK, August 28 – September 1, 2023, Proceedings, Springer, vol. 14143, pp. 329-349, Convegno: INTERACT 2023 19th IFIP TC13 International Conference
DOI - URL correlato - Scheda ARCA: 10278/5036282
2022 Articolo su rivista Foffano F.; Scantamburlo T.; Cortes A. Correction to: Investing in AI for social good: an analysis of European national strategies (AI & SOCIETY, (2022), 10.1007/s00146-022-01445-8) in AI & SOCIETY, vol. 38 (ISSN 0951-5666)
DOI - Scheda ARCA: 10278/5065010
2022 Articolo su rivista Foffano F.; Scantamburlo T.; Cortes A. Investing in AI for social good: an analysis of European national strategies in AI & SOCIETY, vol. N/A, pp. 1-22 (ISSN 0951-5666)
DOI - Scheda ARCA: 10278/3763968
2022 Articolo in Atti di convegno Kralj Novak, Petra; Scantamburlo, Teresa; Pelicon, Andraž; Cinelli, Matteo; Mozetič, Igor; Zollo, Fabiana Handling Disagreement in Hate Speech Modelling , Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2022, Springer, vol. 1602, pp. 681-695, Convegno: 19th International Conference, IPMU 2022 (ISBN 978-3-031-08973-2; 978-3-031-08974-9) (ISSN 1865-0929)
DOI - Scheda ARCA: 10278/3763528
2021 Articolo su rivista Scantamburlo T.; Cortes A.; Dewitte P.; Van der Eycken D.; De Wolf R.; Martens M. Covid-19 and tracing methodologies: A lesson for the future society in HEALTH AND TECHNOLOGY, vol. 11, pp. 1051-1061 (ISSN 2190-7188)
DOI - Scheda ARCA: 10278/3752935
2021 Articolo su rivista Scantamburlo T. Non-empirical problems in fair machine learning in ETHICS AND INFORMATION TECHNOLOGY, vol. 23, pp. 703-712 (ISSN 1388-1957)
DOI - Scheda ARCA: 10278/3752933
2021 Articolo su rivista Cristianini N.; Scantamburlo T.; Ladyman J. The social turn of artificial intelligence in AI & SOCIETY, vol. - (ISSN 0951-5666)
DOI - Scheda ARCA: 10278/3752936
2021 Articolo su libro Grandi G; Scantamburlo T Apprendimento automatico e decisione umana , Automi e persone. Introduzione all’etica dell’intelligenza artificiale e della robotica, Carocci (ISBN 9788829011704)
- Scheda ARCA: 10278/3752939
2021 Articolo su libro Marcello Pelillo, Teresa Scantamburlo Introduction , Machines We Trust. Perspectives on Dependable AI, MIT press
- Scheda ARCA: 10278/5007401
2021 Curatela (a cura di) Pelillo M; Scantamburlo T Machines We Trust. Perspectives on Dependable AI , MIT Press (ISBN 9780262542098)
- Scheda ARCA: 10278/3752940
2020 Articolo su rivista Cristianini N.; Scantamburlo T. On social machines for algorithmic regulation in AI & SOCIETY, vol. 35, pp. 645-662 (ISSN 0951-5666)
DOI - Scheda ARCA: 10278/3752934
2020 Esposizione Foffano, F., Scantamburlo, T., Cortés, A., and Bissolo, C. European strategy on AI: Are we truly fostering social good? , 7-8 January 2021
- URL correlato - Scheda ARCA: 10278/3754710
2020 Esposizione Scantamburlo, T., Cortés, A., Schacht, M., Progressing Towards Responsible AI , 4th September 2020
- URL correlato - Scheda ARCA: 10278/3754709
2019 Articolo su libro Scantamburlo T, Charlesworth A, Cristianini N Machine Decisions and Human Consequences , Algorithmic Regulation, Oxford University Press (ISBN 9780198838494)
DOI - Scheda ARCA: 10278/3752941
2015 Articolo su rivista Pelillo, Marcello; Scantamburlo, Teresa; Schiaffonati, Viola Pattern recognition between science and engineering: A red herring? in PATTERN RECOGNITION LETTERS, vol. 64, pp. 3-10 (ISSN 0167-8655)
DOI - URL correlato - Scheda ARCA: 10278/3680289
2013 Articolo in Atti di convegno M. Pelillo; T. Scantamburlo How Mature Is the Field of Machine Learning? , AI*IA 2013: Advances in Artificial Intelligence, Springer, pp. 121-132, Convegno: XIIIth International Conference of the Italian Association for Artificial Intelligence (ISBN 9783319035239)
DOI - Scheda ARCA: 10278/44023