Santé, finance, éthique, régulation, médias… Comment l’intelligence artificielle transforme-t-elle en profondeur notre société ?
L’Université Paris Dauphine – PSL, en partenariat avec l’institut 3IA PRAIRIE et Les Échos, vous invite à : 3 jours de conférences-débatssur les impacts de l’IA
Avec la participation de scientifiques de l’Université Paris Dauphine – PSL, d’expertes et d’experts internationaux du domaine (médaillés Fields et du CNRS, chercheurs de Berkeley, Washington University, membres de l’OMS, de l’Académie des Sciences, du Conseil d’État, journalistes de l’AFP, des Échos…) :
5 THÉMATIQUES :
LA RÉGULATION DES
PLATEFORMES – Lundi 21 nov. (09H-12H30)
ÉTHIQUE DE L’IA – Lundi 21 nov. (14H-19H)
SANTÉ NUMÉRIQUE –
Mardi 22 nov. (09H-12H)
FINANCE ET IA –
Mardi 22 nov. (14H-18H)
L’IMPACT DE L’IA DANS
LES MÉDIAS – Mercredi 23 nov. (09H-12H30)
ET LA SOIRÉE DAUPHINE DIGITAL DAYS – Mardi 22 nov. (18H-22H)
Jean-Baptiste Masson, Principal investigator of the Decision and Bayesian Computation Laboratory (Pasteur – CNRS), AVATAR MEDICAL CSO and Co-founder, and PR[AI]RIE chair, is among the three researchers who have been awarded “Prix des Innovateurs 2022” / Innovators Award 2022 by the Île-de-France Region.
Since 2020, the Innovators’ Prize created by the Île-de-France Region, aims to encourage, support and promote research, technology transfer and innovation in the medical field.
Each year, the Innovators’ Prize rewards three researchers under 45 years of age and their teams for the quality of their work in the field of health. A total of €100,000 award aims to help them advance their research work. Read more here.
New PR[AI]RIE PhD thesis defended
On September 23, Luca Ganassali defended his doctoral thesis entitled “The graph alignment problem: fundamental limits and efficient algorithms ". Congratulations!
His supervisors were two PR[AI]RIE chairs: Laurent Massoulié and Marc Lelarge.
The thesis studies the graph alignment problem, the noisy version of the graph isomorphism problem, which aims to find a matching between the nodes of two graphs which preserves most of the edges. Focusing on the planted version where the graphs are random, we are interested in understanding the fundamental information-theoretical limits for this problem, as well as designing and analyzing algorithms that are able to recover the underlying alignment in the data. For these algorithms, we give some theoretical high probability guarantees of the regime in which they succeed or fail.
Junior Fellow in artificial intelligence applied to the humanities
PSL University, one of the founding members of PRAIRIE, is recruiting a junior fellow in Artificial Intelligence applied to the humanities and social sciences.
This position is meant for a young PhD holder in the humanities and/or social sciences who wishes to pursue a high-level research career while investing in teaching and the development of original courses. The contract duration is five years.
Please read here more about the position and requirements.
Bodies and AI, deeper links than we think: interview with Justine Cassell
For Justine Cassell, an expert in human-machine interaction, AI embodied in machines is an effective tool for developing communication between humans, through the body.
We interact with robots unconsciously in the same way that we interact with humans using our bodies. For example, we unknowingly monitor eye movements, hand gesture and smile, and draw conclusions about the trustworthiness of the person in front of us and about their engagement in the conversation. This ability to use the body to engage in getting to know the other person begins at birth and lasts throughout life. It’s exciting to realise that you do the same thing with a robot!
Dauphine Numérique, a programme whose ambition is to promote a world-class research and training ecosystem and to produce interdisciplinary work on digital transformation, invites you to participate in the Dauphine Digital Days, a series of conferences on AI.
Three days of talks and roundtables clustered around 5 main themes will take place on 21, 22 and 23 November 2022 at the University of Paris Dauphine – PSL. The themes proposed are: Digital Plateform Regulation, Justice and Fairness Issues, Digital Health, AI and Finance, and Digital and Information.
More info here. Don’t miss information on registration coming up early September!
Best Paper Award for Umut Simsekli
Congratulations to Umut Simsekli, PR[AI]RIE chair, who won Best Paper Award for the article "Generalized Sliced Probability Metrics" at the IEEE ICASSP conference held in May 2022.
The International Conference on Acoustics, Speech and Signal Processing is the flagship event of the IEEE Signal Processing Society. Read the winning article here.
Runner-up best paper award at ISBI
Benoît Sauty, a PhD student in the ARAMIS team, was awarded the Best-Paper Runner-Up Award at the ISBI Conference, for the paper entitled "Riemannian Metric Learning for Progression Modeling of Longitudinal Datasets".
ISBI is the International Symposium of Biomedical Imaging, one of the world’s largest conferences for the medical imaging community. Congratulations! Read the full paper here.
Top contributor award from Papers with Code
Clément Chadebec, a PhD student under the supervision of Stéphanie Allassonnière, received a top contributor award from Papers with Code for the python library unifying generative autoencoder implementations and focusing on reproducibility.
Pythae, is a versatile open-source Python library providing both a unified implementation and a dedicated framework allowing straightforward, reproducible and reliable use of generative autoencoder models. Check it here.
“AI for biomedical imaging” working group in “Le Monde”
In the article published in the Science & Medicine (supplement of “Le Monde”) the inter 3IA institutes working group on "IA for biomedical imaging” composed of representatives of 3IA Côte d’Azur, MIAI@Grenoble Alpes and PR[AI]RIE, proposes its view on the future of medical imaging thanks to AI.
Medicine has been a major field of experimentation for artificial intelligence from the start. Nowadays the potential of AI is proven, but the tools are not widely used in the medical environment.
While AI holds the promise of major advances in medical imaging, its use requires multidisciplinary thinking, argue researchers in applied mathematics, computer science, physics, neuroscience and medical science. Rather than fearing that doctors will be replaced by artificial intelligence, a question should be asked what kind of services we want to delegate to AI.
What are the obstacles to the wider deployment of AI
in healthcare, and where do research efforts lie? Read
more in the article.