L'IA pour tous

Photo by Desola Lanre-Ologun on UnsplashPour aider les personnes et les communautés en dehors des sociétés occidentales dominantes, les gouvernements, les ONG et les entreprises utilisent souvent des outils qui n'ont pas été conçus pour ces utilisateurs. Cela doit changer.

L'intelligence artificielle doit être au service de tous, de manière équitable. Pour y parvenir, les personnes - en particulier celles dont la voix n'est souvent pas entendue - doivent être au centre de la conception et du déploiement des systèmes d'intelligence artificielle. Grâce au développement de technologies participatives, fiables et équitables, la recherche à l'Idiap renforce les communautés d'utilisateurs et favorise la prise de décisions démocratiques et collectives. L'impact de notre travail est étendu, allant d'initiatives de science citoyenne aux projets où l'utilisation responsable de l'IA peut réellement bénéficier aux communautés.

Domaines d'expertise

#Bioinformatics&HealthInformatics
#DataScience&SocialComputing
#HumanComputerInteraction
#Imaging&ComputerVision
#MachineLearning
#NaturalLanguageProcessing
#Robotics&AutonomousSystems
#Security&Privacy
#SignalProcessing
#Speech&AudioProcessing

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Ce programme contribue aux ODD des Nations-Unies suivants


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Personnes

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


AL-DABBOUSSI, Mustapha
(AI Master Student)
- website


ALONSO DEL BARRIO, David
(Junior R&D / Research Assistant)


AMIRI, Mahdi
(PhD Student / Research Assistant)
- website


ANNAPUREDDY, Ravinithesh Reddy
(PhD Student / Research Assistant)
- website


BEHJATI, Melika
(PhD Student / Research Assistant)
- website


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


BHATTACHARJEE, Mrinmoy
(Postdoctoral Researcher)
- website


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


BI, Yuhan
(Research Intern)


BITTAR, Alexandre
(PhD Student / Research Assistant)
- website


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


BROS, Victor
(PhD Student / Research Assistant)
- website


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


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


CARRON, Daniel
(Research and Development Engineer)
- website


CHEN, Haolin
(PhD Student / Research Assistant)
- website


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


COLBOIS, Laurent
(PhD Student / Research Assistant)
- website


COMAN, Andrei (Catalin)
(PhD Student / Research Assistant)
- website


COPPIETERS DE GIBSON, Louise
(PhD Student / Research Assistant)
- website


DAYER, Yannick
(Research and Development Engineer)
- website


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


ECABERT, Christophe
(Postdoctoral Researcher)
- website


EL HAJAL, Karl
(Research Assistant)
- website


EL ZEIN, Dina
(PhD Student / Research Assistant)
- website


FEHR, Fabio (James)
(PhD Student / Research Assistant)
- website


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


GARNER, Philip
(Senior Research Scientist)
- website


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


GEISSBUHLER, David
(Research Associate)
- website


GENTILHOMME, Théophile
(Senior Research and Development Engineer)
- website


GEORGE, Anjith
(Research Associate)
- website


GODI, Matthieu
(Research Intern)
- website


HE, Mutian
(PhD Student / Research Assistant)
- website


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


HERMANN, Enno
(Postdoctoral Researcher)
- website


HOVSEPYAN, Sevada
(Research Associate)
- website


ISMAYILZADA, Mahammad
(PhD Student / Research Assistant)
- website


JIMÉNEZ DEL TORO, Oscar (Alfonso)
(Postdoctoral Researcher)
- website


JUNG, Vincent
(Research Intern)
- website


KALOGA, Yacouba
(Postdoctoral Researcher)
- website


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


KERNEN, Marius
(Research Intern)
- website


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


KODRASI, Ina
(Research Scientist)
- website


KOMATY, Alain
(Research Associate)
- website


KORSHUNOV, Pavel
(Research Associate)
- website


KOTWAL, Ketan
(Research Associate)
- website


KRIVOKUĆA HAHN, Vedrana
(Research Associate)
- website


KUMAR, Shashi
(PhD Student / Research Assistant)
- website


MACEIRAS, Jérémy
(Research and Development Engineer)
- website


MADIKERI, Srikanth
(Research Associate)
- website


MAGIMAI DOSS, Mathew
(Senior Research Scientist)
- website


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


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


MARFURT, Andreas
(Postdoctoral Researcher)
- website


MAYORAZ, André
(Research and Development Engineer)
- website


MICHEL, Samuel
(Research and Development Engineer)
- website


MOHAMMADI, Amir
(Research Associate)
- website


MOSTAANI, Zohreh
(PhD Student / Research Assistant)
- website


MOTLICEK, Petr
(Senior Research Scientist)
- website


MURALIDHAR, Skanda
(Research Associate)
- website


NADERI, Maryam
(AI Master Student)
- website


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


NEUGBER, Samuel
(R&D / Research Assistant)


OTROSHI SHAHREZA, Hatef
(PhD Student / Research Assistant)
- website


ÖZBULAK, Gökhan
(Junior R&D / Research Assistant)
- website


PETERSEN, Molly (Rose)
(PhD Student / Research Assistant)
- website


PRASAD, Amrutha
(PhD Student / Research Assistant)
- website


PUROHIT, Tilak
(PhD Student / Research Assistant)
- website


RAHIMI NOSHANAGH, Parsa
(PhD Student / Research Assistant)
- website


RANGAPPA, Pradeep
(Postdoctoral Researcher)
- website


RAZEGHI, Behrooz
(Postdoctoral Researcher)
- website


RUFAI, Amina
(Research Intern)
- website


SANCHEZ LARA, Alejandra
(Research Intern)
- website


SANCHEZ-CORTES, Dairazalia
(Postdoctoral Researcher)
- website


SARKAR, Eklavya
(PhD Student / Research Assistant)
- website


SELLIAH, Janani
(Research Assistant)
- website


SHEIKH, Shakeel Ahmad
(Postdoctoral Researcher)
- website


TARIGOPULA, Neha
(PhD Student / Research Assistant)
- website


THORBECKE (NIGMATULINA), Iuliia
(PhD Student / Research Assistant)
- website


TORNAY, Sandrine
(Postdoctoral Researcher)
- website


ULUCAN, Ibrahim
(Research Intern)
- website


UNNERVIK, Alex
(PhD Student / Research Assistant)
- website


VAN DER PLAS, Lonneke
(Research Scientist with Academic Title)
- website


VÁSQUEZ RODRÍGUEZ, Laura
(Postdoctoral Researcher)
- website


VAUTHEY, Adrien
(Research Intern)


VERZAT, Colombine
(Research and Development Engineer)
- website


VIDAL, Maxime
(Research Assistant)
- website


VIDIT, Vidit
(Postdoctoral Researcher)
- website


VILLATORO TELLO, Esaú
(Research Associate)
- website


VLASENKO, Bogdan
(Research Associate)
- website


ZANGGER, Alicia
(Research and Development Engineer)
- website


ZULUAGA GOMEZ, Juan Pablo
(PhD Student / Research Assistant)
- 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