The research group in Responsible AI was established to study the ethical and societal impact of AI, while supporting policymakers through the development of tools and methodologies to mitigate adverse effects.
We study the ethical and societal impact of AI, through the development of tools and methodologies design, monitor, and develop trustworthy AI systems and applications. Our research is not only about the development of intelligent systems, but also in understanding the effects of their deployment on our societies. We are working to ensure the ethical application of Artificial Intelligence (AI), both through public engagement and frequent interaction with policymakers, and by facilitating the engineering of Responsible AI.
Our diverse multidisciplinary research programme aims to help all relevant actors to have access to the means and tools to develop, deploy, operate, and govern systems, while taking any ethical, legal, and socio-economics implications into consideration.
Research Topics & Questions
AI Governance: Which ethical, legal, and socio-economic issues arise from the activity of autonomous intelligent agents in teams? How can activity be regulated? What are the moral and legal values we want our systems to adhere to?
Systems Engineering of AI: How can we develop intelligent systems with modular maintainable code? How can we efficiently develop systems that adhere to our moral and legal values?
Analysis and formalization of social interaction: The aim is to study the effect of social and organizational structure taking into account the autonomy and heterogeneity of participants and the societal and legal values holding in the context. To this end, we are developing formal theories and a computational architecture for agent deliberation based on social-practices.
Design and evaluation of human-agent teamwork: The central research question is how do people interact (negotiate, trust, cooperate) with autonomous cognitive entities in a social setting and the development of agent-based simulations of complex socio-technical domains.
Adverse impacts and collateral effects of artificial intelligence technologies 2022: proceedings of the 2nd workshop on adverse impacts and collateral effects of artificial intelligence technologies, CEUR-WS 2022 : 46-53
Theodorou, Andreas; Nieves, Juan Carlos; Dignum, Virginia