{"id":1141,"date":"2025-02-01T13:57:25","date_gmt":"2025-02-01T13:57:25","guid":{"rendered":"https:\/\/sites.unimi.it\/brio\/?page_id=1141"},"modified":"2025-06-29T10:13:19","modified_gmt":"2025-06-29T10:13:19","slug":"final-research-meeting","status":"publish","type":"page","link":"https:\/\/sites.unimi.it\/brio\/final-research-meeting\/","title":{"rendered":"FINAL RESEARCH MEETING"},"content":{"rendered":"\n
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THE MEETING WILL TAKE PLACE AT

UNIVERSITY OF MILAN
VIA FESTA DEL PERDONO 3 (main entrance at 7)
20122 MILAN
ROOMS 302 and 304
<\/strong>
YOU WILL FIND INDICATIONS AT BOTH ENTRANCES TO GET TO THE ROOMS OR MAY ASK THE PORTER.

KEYNOTES WILL TAKE PLACE IN ROOM 302.
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PROGRAMME<\/strong><\/p>\n\n\n\n

Day 1: 01 July 2025<\/strong><\/td>Room 302<\/strong><\/td>Room 304<\/strong><\/td><\/tr>
09:00 \u2013 09:30 <\/td>Welcome<\/strong><\/td><\/tr>
09:30 \u2013 10:30 <\/td>Emily Postan (Edinburgh): Beyond bias – the risks of using machine learning to shape social ontologies<\/em><\/td><\/tr>
10:30 \u2013 11:00 <\/td>Break <\/strong><\/td><\/tr>
11:00 \u2013 11:30 <\/td>Baldi & D\u2019Asaro, A system for ethical Reasoning in Symbiotic AI<\/em><\/td>Ginammi, The Bias Paradox for Word Embeddings<\/em><\/td><\/tr>
11:30 \u2013 12:00<\/td>Ceragioli & Primiero, A Proof-theoretic Approach to Individual and Counterfactual Fairness <\/em><\/td>Quaresmini & Zanotti, A Human-inspired Strategy to Mitigate Algorithmic Misgendering in AGR<\/em><\/td><\/tr>
12:00 \u2013 12:30<\/td>Buda, Bias Amplification Chains in Generative AI<\/em><\/td>Bottazzi, The Country Incomprehensible to Machines: Philosophy of language against algorithmic surveillance<\/em><\/td><\/tr>
12:30 \u2013 14:30<\/td>Lunch<\/strong><\/td><\/tr>
14:30 \u2013 15:00 <\/td>Papiri et al.<\/em>, Evaluating the trade-off between data quality and fairness in post-processing bias mitigation<\/em><\/td>Zanzotto, Generative AI, Deception, and Manipulation: Mapping the field<\/em><\/td><\/tr>
15:00 \u2013 15:30 <\/td>Russo, Perceptions of Explainable AI: How Presentation is Content<\/em><\/td>Naibo & Petrolo, Algorithms and ML systems: An epistemic comparison<\/em><\/td><\/tr>
15:30 \u2013 16:00 <\/td>Mombelli et al.<\/em>, Evaluating AI-Generated Explanations: A case study on LLM-assisted candidate assessment<\/em><\/td>Zanotti et al.<\/em>, A Relational View on AI Risk: Complex socio-technical systems and multi-risk<\/em><\/td><\/tr>
16:00 \u2013 16:30 <\/td>Break<\/strong><\/td><\/tr>
16:30 \u2013 17:30 <\/td>Edemilson Paran\u00e0 (LUT University): Infrastructures, scale and risk: the composition fallacy in Financial AI<\/em><\/td><\/tr>
18:00 – 20:00<\/td>Reception: Loggiato via Della Signora<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
Day 2: 02 July 2025<\/strong><\/td>Room 302<\/strong><\/td>Room 304<\/strong><\/td><\/tr>
09:30 \u2013 10:30 <\/td>Sander Beckers (Cornell \/ UCL London): Counterfactual Reasoning about, and by, Large Language Models<\/em><\/td><\/tr>
10:30 \u2013 11:00 <\/td>Break<\/strong><\/td><\/tr>
11:00 \u2013 11:30 <\/td>Ferrario & Porello, An Ontological Analysis of Biases Grounded in DOLCE<\/em><\/td>Zanna, Ethical-driven AI Development for Trustworthy Digital Public Services<\/em><\/td><\/tr>
11:30 \u2013 12:00<\/td>Zanotti, Distrusting Trust in AI<\/em><\/td><\/tr>
12:00 \u2013 12:30<\/td>Manganini, Data Speak but Sometimes Lie: A game theoretic approach to data bias and algorithmic fairness<\/em><\/td>Fossa, Trust, Reliance, and the Game of Semantic Extension<\/em><\/td><\/tr>
12:30 \u2013 14:30<\/td>Lunch <\/strong><\/td><\/tr>
<\/td>INDUSTRIAL TRACK<\/strong><\/td><\/td><\/tr>
14:30 \u2013 15:00<\/td>Andrea Guerra (Kube): The Cost of Fairness<\/td><\/td><\/tr>
15:00 \u2013 15:30<\/td>Federico Ricciuti (CRIF): Safety and Security risks of GenAI applications<\/td><\/tr>
15:30 \u2013 16:00 <\/td>Alessandro Castelnovo (INTESA SanPaolo): Responsible AI at Intesa Sanpaolo<\/td><\/tr>
16:00 \u2013 16:30<\/td>Lorenzo Gattamorta & Simone Favaro (Deloitte): From Principles to Practice: Deloitte Approach for Trustworthy AI.<\/td><\/tr>
16:30 \u2013 17:00<\/td>Break<\/strong><\/td><\/tr>
17:00 \u2013 17:30<\/td>Baratella, ONTrust: A Reference Ontology of Trust<\/em><\/td>Sancricca & Cappiello, Novel quality metrics for measuring data bias in data-centric AI<\/em><\/td><\/tr>
17:30 \u2013 18:00 <\/td>Fumagalli et al<\/em>., Computational Approaches to Concepts Representation: A whirlwind tour<\/em><\/td>Vorster, Navigating Inductive Risk in Machine Learning for Hadron Therapy<\/em><\/td><\/tr>
18:00 \u2013 18:30<\/td>Closing<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Call for Abstracts (CLOSED)<\/h2>\n\n\n\n

FINAL RESEARCH MEETING  
\u201cBRIO \u2013 BIAS, RISK, OPACITY in AI\u201d  <\/p>\n\n\n\n

1st<\/sup> \u2013 2nd<\/sup> July 2025  
Department of Philosophy, University of Milan, Italy <\/p>\n\n\n\n

BRIO \u2013 BIAS, RISK, OPACITY in AI: Design, Verification, and Development of Trustworthy AI<\/strong> is a collaborative National Research Project involving the University of Milan, Politecnico di Milano, the University of Genoa, the National Research Council of Italy in Trento, and the University of Naples. The project explores the challenges and limitations of Trustworthy AI through philosophical analyses of transparency, bias, and risk, alongside their formalization and technical implementation. <\/p>\n\n\n\n

The project’s closing event will serve as a key opportunity for interdisciplinary exchange, bringing together experts and scholars in trustworthy, explainable, ethical, and fair AI. <\/p>\n\n\n\n

 
Invited Speakers<\/strong> <\/p>\n\n\n\n

Emily Postan (University of Edinburgh<\/a>)<\/p>\n\n\n\n

Sander Beckers (Cornell University<\/a> \/ UCL London) <\/p>\n\n\n\n

Edemilson Paran\u00e1<\/a> (LUT University) <\/p>\n\n\n\n

Industrial Track \u2013 Bridging Industry and Academia<\/strong> <\/p>\n\n\n\n

In collaboration with MIRAI<\/strong><\/a>, a spinoff of the Department of Philosophy at the University of Milan, the Research Meeting will feature a dedicated Industrial Track<\/strong>. This session will bring together invited partners from leading companies that develop and implement AI systems across various industries. <\/p>\n\n\n\n

The Industrial Track aims to provide insight into how businesses are navigating the rapidly evolving AI landscape while fostering stronger collaborations between industry and academia. Join us for a unique opportunity to engage with experts at the forefront of AI innovation. <\/p>\n\n\n\n

Call for Abstracts<\/strong> <\/p>\n\n\n\n

We welcome contributions in the form of abstracts. Authors of accepted papers will be invited to present their work in person in a 20-minute talk, followed by a 10-minute Q&A session. Additionally, selected authors may be invited to submit extended versions of their papers for consideration in a special issue of a reputable journal. <\/p>\n\n\n\n

Areas of interest include:<\/strong> <\/p>\n\n\n\n