ORAILIX Presents Hybrid AI-OR Approaches at Google

Article by
Orailix
Article date
October 2nd, 2024
Category
Presentation
Prof. Sonia Vanier

Summary


On October 2nd, 2024, our research group presented its latest work on combining Artificial Intelligence (AI) and Operations Research (OR) at Google. ORAILIX is dedicated to developing efficient, reliable, and understandable models that address real-world challenge, through integrating structured knowledge and business skills into our approaches. We aim to provide optimal, safe, and explainable solutions that minimize resource use and vulnerabilities.


A core aspect of our research is the development of responsible and trustworthy AI systems. We strive to reduce the environmental impact of AI by controlling model sizes and energy consumption. Additionally, we tackle security challenges such as data leakage and model vulnerabilities. Our goal is to create AI systems that facilitate fair and ethical decision-making while enhancing model transparency, robustness, and traceability. Our work is validated through collaborations with industry partners like Crédit Agricole, SNCF, Safran, Renault, and Orange, focusing on areas such as AI trustworthiness, mobility optimization, predictive maintenance, and cloud architecture enhancement.


Jérémie Dentan

During the presentation, we highlighted a pipeline we developed to identify and address memory-related issues in large language models. This solution contributes to the creation of more secure and reliable AI systems and has been tested in various empirical settings. Our approach to modeling, efficiency, and frugality can be summarized as follows:


  1. Modelling:

    We emphasize the efficient formulation of problems to deliver reliable, safe, explainable, and optimal solutions.
  2. Efficiency:

    Our methods integrate structured knowledge and business skills directly into models, enhancing their practical relevance and performance.
  3. Frugality:

    We aim to reduce the size of models and datasets, minimizing system resources and vulnerabilities, and ensuring that our solutions are both effective and sustainable.

Prof. Sonia Vanier