| Research | https://www.researchgate.net/profile/Giuseppe_Primiero |
gprimiero
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Associate Professor of Logic at the University of Milan, Italy. Also Philosopher of Computation and Information. @gprimiero
pettterAre you an academic and do you want to come join me and my coworkers for a little while? We have a call out for Fellowships at the AI Policy Lab in Umeå: https://aipolicylab.se/call-for-fellowshipsjan-june-2026/ #AcademicChatter
Fairness and Control. Or why AI Governance can also be served from Philosophy and the story of MIRAI.
In a world where statistical fairness metrics have become the de facto language of ethical AI, what principles define what’s “fair”? And how do we control for related risks?
Grateful for the opportunity to reflect on this at this event
https://humantechnopole.it/en/trainings/governing-artificial-intelligence/
and looking forward to where this conversation leads.
#AIgovernance #FairnessAndControl #EthicalAI #BeyondTheStats #AIEthics
Governing Artificial Intelligence - Human Technopole
Artificial Intelligence is profoundly transforming the way we produce knowledge, manage data, and drive innovation across a wide range of disciplines. But how can we govern AI in a conscious and ethical way, without losing sight of research quality and the value of human expertise? As part of MIND Week 2025, and ten years after […]
The BRIO – Bias, Risk, Opacity in AI: Design, Verification, and Development of Trustworthy AI project is hosting its Final Research Meeting on July 1st and 2nd, 2025, at the Department of Philosophy, University of Milan, Italy.
A reminder that the deadline for submitting abstracts is April 1st, 2025.
For more details and to submit your abstract, please visit the official website:
TOWARDS A DECOLONIZED ARTIFICIAL INTELLIGENCE Online Seminar Series
A major milestone in our journey to advance the development of formal logics for verifying the trustworthiness of non-deterministic computational systems! Very happy to share our paper where we introduce TPTND (Trustworthy Probabilistic Typed Natural Deduction)
👉https://academic.oup.com/logcom/advance-article/doi/10.1093/logcom/exaf003/7974762?searchresult=1
This forms the foundation of our vision for #ResponsibleAI, #Bias Detection, and #Risk Evaluation, implemented through the tool BRIO developed by MIRAI.
Stay tuned—there’s more to come!
Dr Vaishak BelleDid OpenAI Just Solve Abstract Reasoning?- https://bit.ly/3BX8Fza
Happy to share my contribution for the incredible *The Routledge Handbook of Causality and Causal Methods*, exploring the challenges of causality in Machine Learning for Explainable and Responsible #AI.
Check out the volume here:
https://www.routledge.com/The-Routledge-Handbook-of-Causality-and-Causal-Methods/Illari-Russo/p/book/9781032260198?srsltid=AfmBOoqu3Sas_m2w7FjCUN1Aiecmj98Op8WPO13aJ5_kG9uoJCmjXCQ_
The Routledge Handbook of Causality and Causal Methods
The Routledge Handbook of Causality and Causal Methods adopts a pluralistic, interdisciplinary approach to causality. It formulates distinct questions and problems of causality as they arise across scientific and policy fields. Exploring, in a comparative way, how these questions and problems are addressed in different areas, the Handbook fosters dialogue and exchange. It emphasizes the role of the researchers and the normative considerations that arise in the development of methodological and e
Tomorrow
Of People and Code – Epistemological, Ontological, and Formal Approaches to AI
https://cfcul.ciencias.ulisboa.pt/reunioes/of-people-and-code-epistemological-ontological-and-formal-approaches-to-ai/
I will present results from #BRIO and #SMARTEST projects on copies of ML systems and their trustworthiness
New Publication Alert: Data Quality Dimensions for Fair AI
Recent joint work with Camilla Quaresmini, presented at AEQUITAS 2024 co-located with the European Conference on Artificial Intelligence 2024!
#AI #DataQuality #FairAI #ResponsibleAI #ECAI2024