Vicky Charisi is a Research Fellow at Harvard Law School's Berkman Klein Center and an incoming Research Scientist at MIT. Her work focuses on Human-AI and Human-Robot Interaction, with particular emphasis on AI safety, privacy, fairness, and transparency, contributing to policy development in these areas.

Previously, she worked at the European Commission's Joint Research Centre, providing scientific evidence to support policymaking in AI and human behaviour. Currently, she collaborates with the Honda Research Institute in Japan, Embodied Communication Research Group, focusing on multi-agent group interaction, and engages with various United Nations agencies and international institutions. She has authored over 70 publications in high-ranking venues, including peer-reviewed journals, science-for-policy reports, and policy briefs.

I will mentor a project with a focus on a combination of two or more of the following topics:

Systematic literature review on AGI risks for decision-making support systems and human-AI interaction in various sectors / use-cases and proposal for a risk taxonomy

Safety in multi-agentic systems and agency in human-AI teaming

Legal frameworks on safety and existential risks with a focus on Embodied AI and Robotics (not necessarily humanoids) and identification of gaps, given the current technical developments on Agentic AI.

Comparative analysis of AI Safety regulations (e.g. EU vs US or other countries of interest) with a focus on selected sectors and synthesis of a set of methods for harmonized global approaches.

Conduct of a series of at least N=10 semi-structured interviews with key stakeholders, data analysis, synthesis and proposal of an integrated framework for multi-stakeholder approaches for the development of AGI and AI governance.

The fellow should be able to conduct independent research with ~1hour/week direct supervision. Also, the fellow should have:

Interest on AI and Public Policy

Demonstrated experience on conducting literature reviews and research on relevant topics

Ability to execute on empirical research quickly

Familiarity with legal texts and technical papers

Familiarity with Human-AI interaction research

Experience with interviews and data analysis is desirable

Strong writing and critical thinking skills

Enthusiasm about the subject