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Towards Responsible Data Science: Insights from EU-funded Research

Towards Responsible Data Science: Insights from EU-funded Research

Francesca Pratesi
Ethical foundations of research, focusing on EU-funded projects
10 May 2024
VIDEO

Abstract

This seminar explores the ethical foundations shaping research practices, particularly within EU-funded projects. Focusing on Horizon 2020 initiatives such as SoBigData++ and TAILOR, we investigate the application of ethical principles within these projects. These projects not only advance specialized research but also aim to equip domain experts with the requisite knowledge and tools for ethical data and AI management.

The presentation provides insights into the objectives and methodologies of SoBigData++ and TAILOR, with a specific focus on their ethical dimensions. Emphasis is placed on the challenges encountered and the solutions developed to foster Trustworthy AI, ensuring that AI systems incorporate safeguards to make them reliable, safe, transparent, and respectful of privacy, while also adhering to the FAIR (Findable, Accessible, Interoperable, and Reusable) and FACT (Fairness, Accuracy, Confidentiality, and Transparency) principles. By examining these ethical considerations within these EU-funded projects, we aim to contribute to the discourse on responsible data science and its implications for future research endeavors.

Speakers

  • Francesca Pratesi
    Istituto di Scienza e Tecnologie dell'Informazione, Consiglio Nazionale delle Ricerche (ISTI - CNR)
    HOMEPAGE

    Francesca Pratesi is a Researcher at the Institute of Information Science and Technologies of the National Research Council of Italy (ISTI-CNR) of Pisa since 2021. In 2017, she obtained her Ph.D. in Computer Science at the University of Pisa, with a Thesis about "Privacy Risk Assessment in Big Data Analytics and User-Centric Data Ecosystems". Her research interests are privacy-preserving data mining, privacy risk evaluation, and Trustworthy AI, in particular related to the bound between ethics and social-mining. She was involved in 10 EU-funded projects, she held 15+ invited seminars or lessons, she has been teacher of two Bachelor courses at the University of Pisa (since 2018), and she co-authored 10+ papers on international peer-reviewed journals.