Governance of Nuclear Imaginaries in AI

With support from the IVADO-Inria Initiative, Dr. Polleri currently investigates how generative AI systems reproduce and shape nuclear imaginaries, with a focus on epistemic bias, misinformation, and the development of ethical and educational tools to govern nuclear discourse in AI-generated content.

EPI-AI: Automated Understanding and Alerting of Disease Outbreaks from Global News Media

Dr. Polleri was part of the “EPI-AI Project,” a Canadian-UK Artificial Intelligence grant initiative that aimed to achieve a step change in automated global epidemic alerting using news media monitoring. As a Postdoctoral Researcher within McGill University’s Faculty of Medicine, Dr. Polleri investigated ethical considerations and potential biases in using media as a data source for infectious disease surveillance. Read more about the project here.

Selected publications:

Meng, Zaiqiao, Anya Okhmatovskaia, Maxime Polleri, Yannan Shen, GuidoPowell, Zihao Fu, Iris Ganser, Meiru Zhang, Nicholas King, David Buckeridge, Collier Nigel. 2022. BioCaster in 2021: Automatic Disease Outbreaks Detection from Global News Media. Bioinformatics. (Advance publication)