I’m an artificial intelligence researcher interested in developing algorithms to allow AI systems to explain their behavior to humans, and better learn from each other. I conducted my research thanks to a Marie Skłodowska-Curie ITN Fellowship. I started my PhD in Computer Science and Engineering at Técnico in the research group of Artificial Intelligence for People and Society (GAIPS – INESC-ID) co-advised by Ana Paiva, Francisco Melo, and Mohamed Chetouani. I then moved to Sorbonne University as visiting researcher and worked in the research group of Intelligent Systems and Robotics (ISIR).
My PhD thesis (recently submitted) is titled Explanation-Guided Learning for Human-AI partnership and it includes computational models to generate explanations about agent inner workings such that other agents can learn from them.
Research Interests (among others):
- Explainable/Interpretable Artificial Intelligence
- Causal reasoning
- Interactive Task Learning
- Reinforcement Learning and Inverse Reinforcement Learning
I am looking for research opportunities and cool jobs. Do not hesitate to contact me on silvia.tulli [at] gaips.inesc-id.pt or tulli[at]isir.upmc.fr and follow my updates on Github, ResearchGate, GoogleScholar, Linkedin, Twitter.
I am co-organizing Talking Robotics, for info have a look at our website!
silviatulli.com 