Ethical and safe learning for deploying multi-robot systems in complex real-world environments
AI research is being challenged with ensuring that autonomous agents, such as robots, learn behaviours that are both ethical (in alignment with moral values)...
Ethical and safe learning for deploying multi-robot systems in complex real-world environments
AI research is being challenged with ensuring that autonomous agents, such as robots, learn behaviours that are both ethical (in alignment with moral values) and safe. Ángela Ribeiro (CAR), Maite López-Sánchez and Juan A. Rodríguez-Aguilar (IIIA) join efforts to address the problem of learning safe and ethical behaviour policies for robots in charge of agricultural tasks.
Position Details:
Duration: Two years
Location: The candidate will spend one year at our centre, collaborating closely with our research team, and the second year at CAR in Madrid, another prestigious research institution within the ALLIES network.
We’re looking for proposals that explore how to design learning environments for robots so that the policies they learn to accomplish their tasks are guaranteed to be safe and ethical, even when multiple robots are involved. This is a paradigm shift that focuses on the learning environment, instead of on the learning algorithm employed by each robot, to guarantee the properties that robots’ behaviours must exhibit.
Gross Salary: 41,213.44 € per year (approx.)
About ALLIES:
ALLIES (Artificial inteLLigence In sustainable dEvelopment goalS) is a postdoctoral training program led by the CSIC, coordinated through the AIHUB Connection, and co-funded by the European Union. With a mission to advance interdisciplinary AI research aligned with the Sustainable Development Goals (SDGs), ALLIES offers a platform for researchers to contribute to global sustainability efforts through cutting-edge AI projects.
Don't miss this opportunity to be part of a groundbreaking project at the intersection of AI and sustainable and social goals. Join us in shaping the future with AI!
