Benjamin Icard, Phd Email & Phone Number

Paris, Fr

Ville De Paris, Île-De-France, France

Within Team SMA - Multi-Agent SystemsProject THEMIS (2023-2026): automatic categorization of biased textual contents by comparison with a reference context. Focus on fake, incomplete, exaggerated, irrelevant information, etc.Institutions: employed by Sorbonne Université, working at the LIP6 (Sorbonne Université, CNRS)Consortium: within Sorbonne Université, in partnership with GANDI

Institut Jean-Nicod (Cnrs, Ens-Psl, Ehess)

Project HYBRINFOX: “An hybrid approach between deep learning and symbolic AI for processing fake news and informational vagueness” (2022-2025)

Ville De Paris, Île-De-France, France

Project HYBRINFOX: “An hybrid approach between deep learning and symbolic AI for processing fake news and informational vagueness” (2022-2025)Institutions: employed by CNRS, working at the Institut Jean-Nicod, CNRS, PSL UniversityConsortium: project in partnership with IRISA (CNRS research lab), Airbus (defence), Mondeca (civil)Function:Function: enrichment of the VAGO tool and contribution to hybridation with neural networks— Developing and assessing vagueness and opinions metrics for symbolic AI algorithms— Looking for correlations with other dimensions, e.g. fakeness, for detection purposes— Comparing and integrating symbolic metrics into deep neural networks (hybridization)Other role: co-managing the project and taking main decisions with Paul Égré (principal coordinator)

Ville De Paris, Île-De-France, France

Project DIEKB: “Disinformation Identification in Evolving Knowledge Bases” (2019-2022)Institutions: employed by CNRS, working at the Institut Jean-Nicod, CNRS, PSL UniversityConsortium: project in partnership with Mondeca (coordinator, civil) and Airbus (defence)Function: development of the tool ‘VAGO’ with P. Égré and G. Atemezing (APP, n° 26312-01)— Building taxonomies and databases of markers of vagueness and opinions in discourse— Testing algorithms relying on databases to measure vagueness and opinions in texts— Measuring correlations with results of fake news classification by deep neural networks

Ville De Paris, Île-De-France, France

Ville De Paris, Île-De-France, France

Graduate thesis of French intelligence operatives (in activity)— Diploma: ‘Intelligence and Global Threats’ (DiReM, MS Degree)— Topics: AI for Defence, NLP intelligence analysis, hybrid infowar— Institutions: Académie du Renseignement, Sc Po St-Germain-en-Laye

Ville De Paris, Île-De-France, France

Full-semester courses on philosophical and mathematical classical logic— Degree: Bachelor's Degree, second year, introductory to advanced, total: 150 hours— Institution: PSL University, both Science and Humanities Bachelor’s

Ville De Paris, Île-De-France, France

Full-semester courses on mathematical logic, field: classical model theory— Degree: Master's Degree, first year, advanced level, total: 48 hours — Institution: Paris I Panthéon-Sorbonne, Master Lophisc

Phd, Cognitive Science, Summa Cum Laude

PhD at the Institut Jean-Nicod under the supervision of Professeur Paul Égré (Institut Jean-Nicod, CNRS, ENS, EHESS, PSL University)..

Normalien Selected To Prepare The Ens Diploma In Humanities (Equivalent To Ma), Major: Philosophy

Qualification For A Position As An Assistant Professor, Section 17

Master'S Degree, Analytic And Formal Philosophy, With High Honours

Title: "Manipulating Information: Formal Definition & Taxonomy"