L'IA pour tous

Photo by Desola Lanre-Ologun on Unsplash

Le programme de recherche l’IA pour Tous veille à ce que l’intelligence artificielle serve l’ensemble des personnes, quels que soient leur origine ou leur situation. Nos recherches développent une IA équitable et participative en plaçant les individus – en particulier les communautés sous-représentées – au centre de sa conception et de son déploiement.

Nous créons des plateformes interactives ainsi que de nouvelles techniques d’échantillonnage et d’analyse de données qui reflètent la diversité des populations, tout en favorisant des communautés durables et connectées à l’échelle mondiale. En permettant aux individus de co-concevoir et d’utiliser les algorithmes d’IA tout au long du cycle de développement, nous faisons évoluer le paradigme, passant de simples utilisateurs passifs à des participants actifs.

Nos travaux font également progresser le discours public inclusif grâce à des innovations dans la prise de décision collaborative et le vote électronique, en réinventant l’IA comme un outil de progrès sociétal transparent, interprétable et inclusif.

Domaines d’application

  • Gouvernance éthique, Responsabilité & Services publics
  • Engagement civique, Démocratie & Discours public
  • Prise de décision collaborative
  • IA et technologies d’assistance pour la littératie numérique, le développement des compétences et l’inclusion
  • Systèmes d’IA culturellement inclusifs

Domaines d'expertise

  • Bio-informatique & Informatique de la santé
  • Science des données & Informatique sociale
  • Interaction homme–machine
  • Imagerie & Vision par ordinateur
  • Apprentissage automatique
  • Traitement automatique du langage naturel
  • Robotique & Systèmes autonomes
  • Sécurité & Protection de la vie privée
  • Traitement du signal
  • Traitement de la parole & du signal audio

Plus  


Personnes

ABBET, Philip
(Senior Research and Development Engineer)
- website


AL AMINE, Zeina
(Research Intern)


ALONSO DEL BARRIO, David
(Research and Development Engineer)


AMIRI, Mahdi
(Doctoral Researcher)


ANNAPUREDDY, Ravinithesh Reddy
(Doctoral Researcher)
- website


BEN MAHMOUD, Imen
(Research and Development Engineer)
- website


BHATTACHARJEE, Sushil (Kumar)
(Research Associate)
- website


BOLLENGIER, Alexis
(Research Intern)


BORNET, Olivier
(Head of Research and Development Team)
- website


BROS, Victor
(Doctoral Researcher)


BURDISSO, Sergio (Gastón)
(R&D / Research Assistant)


CANÉVET, Olivier
(Senior Research and Development Engineer)
- website


CAROFILIS VASCO, Roberto Andrés
(Postdoctoral Researcher)


CARRON, Daniel
(Senior Research and Development Engineer)
- website


CLIVAZ, Guillaume
(Senior Research and Development Engineer)
- website


COLBOIS, Laurent
(Postdoctoral Researcher)


COMAN, Andrei (Catalin)
(Doctoral Researcher)
- website


DAYER, Yannick (Nicolas)
(Senior Research and Development Engineer)
- website


DROZ, William
(Senior Research and Development Engineer)
- website


ECABERT, Christophe
(Research Associate)


EL HAJAL, Karl
(Doctoral Researcher)


EL ZEIN, Dina
(Doctoral Researcher)


ESPINOSA MENA, Jose Rafael
(Doctoral Researcher)
- website


GAIST, Samuel
(Senior Research and Development Engineer)
- website


GATICA-PEREZ, Daniel
(Senior Research Scientist with Academic Title)
- website


GATTI, Martina
(Research Intern)


GEORGE, Anjith
(Research Associate)
- website


HENDERSON, James (Brinton)
(Senior Research Scientist)
- website


HERMANN, Enno
(Postdoctoral Researcher)
- website


HOU, Mingchi
(Doctoral Researcher)


HOVSEPYAN, Sevada
(Research Associate)


KALOGA, Yacouba
(Postdoctoral Researcher)


KAYAL, Salim
(Senior Research and Development Engineer)
- website


KHALIL, Driss
(Junior R&D / Research Assistant)
- website


KIM, Haeeun
(Research Assistant)


KODRASI, Ina
(Research Scientist)
- website


KOMATY, Alain
(Research Associate)


KOTWAL, Ketan
(Research Associate)
- website


KRIVOKUĆA HAHN, Vedrana
(Research Associate)
- website


KULKARNI, Ajinkya (Vijay)
(Postdoctoral Researcher)


KULKARNI, Atharva (Abhijit)
(Research Intern)


KUMAR, Shashi
(Doctoral Researcher)
- website


LI DONG, Virgílio
(Apprentice)


LUÉVANO GARCÍA, Luis Santiago
(Postdoctoral Researcher)
- website


MACEIRAS, Jérémy
(Senior Research and Development Engineer)
- website


MAGIMAI DOSS, Mathew
(Senior Research Scientist)
- website


MARCEL, Christine
(Senior Research and Development Engineer)
- website


MARCEL, Sébastien
(Senior Research Scientist with Academic Title, Interim management team)
- website


MAYORAZ, André
(Research and Development Engineer)
- website


MICHEL, Samuel
(Research and Development Engineer)
- website


MOHAMMADI, Amir
(Research and Development Engineer)


MOTLICEK, Petr
(Senior Research Scientist)
- website


NANCHEN, Alexandre
(Senior Research and Development Engineer)
- website


OTROSHI SHAHREZA, Hatef
(Postdoctoral Researcher)
- website


OUTUMURO BUENO, Alberto
(Research Intern)


ÖZTÜRK, Ünsal
(Postdoctoral Researcher)


POH, François
(Research Intern)
- website


POLAC, Magdalena
(Research Assistant)


PRASAD, Amrutha
(Postdoctoral Researcher)
- website


PUROHIT, Tilak
(Research Intern)


RAHIMI NOSHANAGH, Parsa
(Doctoral Researcher)


SANCHEZ-CORTES, Dairazalia
(Postdoctoral Researcher)
- website


SHIRAKAMI, Haruki
(Doctoral Researcher)
- website


SINGH VIRK, Renuka
(Research Intern)


ULUCAN, Ibrahim
(Research Assistant)
- website


VERZAT, Colombine
(Senior Research and Development Engineer)
- website


VIDIT, Vidit
(Postdoctoral Researcher)


VILLATORO TELLO, Esaú
(Research Associate)
- website


WATAWANA, Hasindri (Sankalpana)
(Doctoral Researcher)
- website


ZANGGER, Alicia
(Research and Development Engineer)
- website


 

Publications choisies

Generalization and Personalization of Passive Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries, L. Meegahapola, W. Droz, P. Kun, A. de Gotzen, C. Nutakki, S. Diwakar, S. Ruiz Correa, D. Song, H. Xu, M. Bi-doglia, G. Gaskell, A. Chagnaa, A. Ganbold, T. Zundui, C. Caprini, D. Miorandi, A. Hume. In Proc. of the ACM on Interactive, Mobile, Wearable, and Ubiquitous Tech-nologies (PACM IMWUT), 6(4), pp. 1-32, Dec. 2022.

A multidisciplinary approach with a large international team to quantify the perfor-mance of inference models for real-life smartphone sensor data, investigating coun-try-specific, country-agnostic, and multi-country approaches. This work is an exam-ple of progress towards the development of diversity-aware algorithms for people in eight countries in Europe, Latin America, and Asia, and received an ACM IMWUT Distinguished Paper Award in 2023.

 

Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and BERT Models for Maltese, Kurt Micallef, Albert Gatt, Marc Tanti, Lonneke van der Plas and Claudia Borg, in Proceedings of the workshop on Deep Learning for Low-Resource NLP, 2022.

Technological tools are missing for many languages in the world. This paper com-pares methods for creating language technologies for a language that has limited resources: Maltese. We also present a newly created collection of texts for Maltese, that results in state-of-the-art performance on several language tasks, despite the fact that the new collection of text is much smaller than those typically used for high-resourced languages.

 

Towards Accessible Sign Language Learning and Assessment, Neha Tarigopula, San-drine Tornay, Skanda Muralidhar, Mathew Magimai-Doss, ACM International Con-ference on Multimodal Interaction, 2022.

Sign language recognition benefits from depth information provided by sensors like Kinect. To scale this up, we need to reduce the dependency on such sensors, which are not accessible to everybody, and develop webcam-based solutions. This paper in-vestigates sign language recognition and assessment in 2D space. Experiments show that, while loss of depth information leads to drops in recognition performance, high performance of sign language assessment can still be obtained.

Projets choisis

AI4MEDIA, 2020-2024, H2020, GATICA-PEREZ: A EUROPEAN EXCELLENCE CENTRE FOR MEDIA, SOCIETY AND DEMOCRACY

This project aims to deliver core AI advances and training to serve the media sector, while ensuring that European values of ethical and trustworthy AI are embedded in future deployments. In particular, we study phenomena related to European local news, with emphasis on human-centered AI methods to understand both local news content and local user perceptions.

 

UNIDIVE, 2022-2026, COST ACTION, VAN DER PLAS: UNIVERSALITY, DIVERSITY AND IDIOSYNCRASY IN LANGUAGE TECHNOLOGY

Recognizing that progress in natural language processing (NLP) needs to account for and foster language diversity, this network aims to provide theoretical models and practical advances about language universality and diversity, including language resources and tools covering a large variety of language phenomena in many languages, including those who are currently low-resourced and endangered.

 

FAIRMI, 2023-2026, SNSF, ANJOS: MACHINE LEARNING FAIRNESS WITH APPLICATION TO MEDICAL IMAGES

In medical imaging, the use of machine learning (ML) models to support large scale screening and diagnosis has substantially increased. However, the study of demographic bias of ML-based medical imaging remains unaddressed. This project will advance the state-of-the-art in ML fairness applied to the design of image-based computer-aided diagnosis systems.

Liste des tous les projets

WeNet, 2019-2023, H2020, Gatica-Perez

Smartphone sensing research involving university students in the Global South

AI4Media, 2020-2024, H2020, Gatica-Perez

Participatory approaches for human-centered AI understanding of local Swiss news

ICARUS, 2020-2024, H2020, Gatica-Perez

Design thinking approaches for urban security solutions in European cities

ELIAS, 2023-2027, Horizon Europe, Gatica-Perez

Machine learning for urban local development

SEM24, 2023-2025, Innosuisse, Van der Plas

Multilingual language technologies


IICT, 2022-2026, Innosuisse, Magimai Doss

Sign language and spoken subtitling technology to overcome language barriers

NCCR Evolang, 2020-2024, SNSF, Magimai Doss

Speech technologies for children speech

SMILE-II, 2021-2024, SNSF Sinergia, Magimai Doss

Technologies for Deaf/Hard of Hearing people

CollabCloud, 2022-2023, Loterie Romande & Idiap, Anjos

Collaborative research cloud Infrastructure powering discovery and exchange

FairMI, 2023-2026, SNSF, Anjos

Bias analysis and mitigation in image-based computer-aided diagnosis

SAFER, 2022-2024, Hasler, Marcel

Bias mitigation in facial recognition