Responsible AI and Digital Tools for Trustworthy Services in Agriculture, Natural Resources and the Environment

To date, the use of Artificial Intelligence and Digital Tools in the Agriculture, Environment, Food, Natural Resources and Environment remains at an embryonic stage.

With this collaboration opportunity, we offer our expertise in Advanced Artificial Intelligence (AI) techniques and Digital Tools that can be used to drive innovation and achieve project objectives in these sectors.

We wish to collaborate with institutes in all sectors above to address long-lasting problems using advanced data driven techniques.

Our group at the Department of Informatics of Athens University of Economics and Business (AUEB) has expertise on a variety of tools and techniques such as:

-- Explainable AI to derive intuitions and human-interpretable rules about AI decisions

-- Synthetic data and GenAI approaches to address data scarcity

-- AI Agents to automatizing workflows

-- Digital Twins to track in real time complex systems

-- Distributed Learning and Federated Learning to train AI models from decentralized data

-- AI and the Internet of Things to help obtain measurement data streams to feed AI models

-- Digital tools (e.g. LLM-based) for different sectors that are user-centric

-- Mathematical optimization and data-driven approaches to optimize decision-making modules