Speakers Info

Speakers

Golnoosh Farnadi

Golnoosh farnadi is an Assistant Professor of Machine Learning at HEC Montréal (U. Montreal’s business school), and Adjunct professor at University Montréal. She is a core faculty member at MILA (Quebec Institute for Learning Algorithms) and hold Canada CIFAR AI chair.

Website: https://gfarnadi.github.io/

Q. Vera Liao

Vera Liao is a Principal Researcher at Microsoft Research Montréal, where she is part of the FATE (Fairness, Accountability, Transparency, and Ethics of AI) group. She works on human-AI interaction, with current focuses on explainable AI and responsible AI. She is passionate about bridging emerging AI technologies and human-centered design practices, and use both quantitative and qualitative methods to generate recommendations for technology design.

Website: http://qveraliao.com/

Elliot Creager

Elliot Creager is a PhD Candidate at University of Toronto and Vector Institute. He conducts research on how machine learning methods fail, and what can be done to improve their robustness in new contexts

Website: https://www.cs.toronto.edu/~creager/

Moderator

Su Lin Blodgett

Su Lin Blodgett is a senior researcher in the Fairness, Accountability, Transparency, and Ethics in AI (FATE) group at Microsoft Research Montréal. She is broadly interested in examining the social and ethical implications of natural language processing technologies; She develops approaches for anticipating, measuring, and mitigating harms arising from language technologies, focusing on the complexities of language and language technologies in their social contexts, and on supporting NLP practitioners in their ethical work.

Website: https://sblodgett.github.io/

Panelists

Reza Shokri

Reza Shokri is Assistant Professor at National University of Singapore (NUS). His research is in data privacy and trustworthy machine learning. I am interested in designing methods to quantitatively measure the privacy risks of data processing algorithms, and build scalable schemes for generalizable machine learning models that are also privacy-preserving, robust, interpretable, and fair.

Website: https://www.comp.nus.edu.sg/~reza/

Ferdinando Fioretto

Ferdinando Fioretto is assistant professor in the EECS department at Syracuse University. His work makes advances in foundational Artificial Intelligence (AI) research with focus on AI and society and AI for decision-making.

Website: https://web.ecs.syr.edu/~ffiorett/

Amir-Hossein Karimi

Amir-Hossein Kaarimi is a Ph.D student at Max Planck Institute for Intelligent Systems & ETH Zurich.

Website: https://sites.google.com/view/amirhkarimi/home

Pratyusha Kalluri

Ria is a Ph.D. student at the Stanford Artificial Intelligence Laboratory (SAIL), where they are co-advised by Dan Jurafsky and Stefano Ermon. They work on detecting and inducing concepts in otherwise opaque Machine Learning models, as well as examining how current AI concentrates power in the hands of a few, supporting the dreaming and building of Radical AI instead. They cocreated Stanford Inclusion in AI (IIAI) and the decentralized Radical AI Network. They were honored to be selected by the NSF fellowship, the Open Philanthropy AI Fellowship, and the PD Soros Fellowship for New Americans.

Website: https://www.linkedin.com/in/pkalluri/

Elizabeth Anne Watkins

Elizabeth Anne Watkins is trained as an organizational sociologist in the field of communications, she uses interviews, analysis of online communities, and surveys to understand how people interpret and strategize around the algorithmic tools they use in their work.
Website: https://citp.princeton.edu/citp-people/watkins/

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