Chairs

AugmentIA

AI for augmented engineering

Developing artificial intelligence solutions to enhance human capabilities in engineering, planning and construction.

The AugmentIA Chair aims to explore the applications of artificial intelligence (AI) in the fields of engineering and construction. Its aim is to develop AI-based tools to enhance human cognitive capacities, in a responsible and ethical approach.

Cette chaire s’inscrit dans une dynamique d’innovation durable, visant à optimiser les processus industriels, de la gestion de projets complexes à l’analyse de données massives non structurées. L’IA générative et les grands modèles de langue seront au cœur des recherches, permettant d’accompagner les ingénieurs dans leurs missions quotidiennes et de répondre aux enjeux des secteurs de l’eau, de l’énergie, de la mobilité, de l’industrie et du bâtiment. AugmentIA s’attaque à des défis scientifiques majeurs : réduction des biais de l’IA, gestion de données multilingues, et adaptation des outils aux besoins spécifiques de l’aménagement et de la construction.

"AugmentIA embodies the meeting of industrial expertise and academic research excellence. This chair opens up a promising path towards augmented engineering that is not only more efficient, but also more responsible."

Didier Schwab

Chairholder, researcher at the LIG and professor at UGA

"Generative artificial intelligence is a hot topic in many sectors. Thanks to the AugmentIA Chair, I am very happy to be able, with the Grenoble INP Foundation, to go beyond the hype and contribute to the operational implementation of such tools in the engineering professions. Initially purely technological developments pose a number of research challenges. The major language models need to be perfected to provide the best possible response to the specific challenges of our businesses, so that we can make the most of their potential despite real scientific obstacles such as continuous learning and the ability to justify the results obtained. The AugmentIA Chair is committed to overcoming these limitations by exploring two key areas: firstly, energy consumption and the carbon impact of current models, a crucial issue in our businesses where environmental exemplarity is an essential requirement, and secondly, ethics and the place of human beings in the use of these techniques, in order to guarantee responsible integration that respects human values. I am convinced that this approach will help transform these challenges into opportunities for our businesses and our society."

Pierre Carlotti

Scientific Director, Artelia

Our missions

Developing AI tools applied to engineering projects, improving project management and the analysis of complex data.
Creating solutions based on generative AI to optimise business processes while reducing the environmental footprint.
Address the technological challenges associated with large language models and unstructured data in the industrial and construction sectors.
Encouraging the transfer of skills to engineering students and industrial partners

The Chair's founding partners and sponsors

Research and training areas

Development and deployment of multilingual and multimodal language models
Optimising unstructured industrial databases using advanced vectorisation and indexing techniques
Exploring applications of generative AI in engineering (rewriting, brainstorming, text analysis)
Study of the ethical and environmental issues associated with the use of AI in industrial projects