University Researcher
Emily Sullivan
Department / Institute
Industrial Engineering and Innovation Sciences
Group
RESEARCH PROFILE
My research is at the intersection between philosophy and data and computer science. I investigate how AI technology mediates (scientific) understanding and shapes norms of information sharing, scientific modeling, explanation, and the ethical consequences that follow. I am currently the PI on a NWO Veni project (2021-2024) on the explainability of machine learning systems. I am the Co-director of the Eindhoven Center for philosophy of AI, fellow in the ESDiT research consortium, and an Associate Editor for the European Journal for the Philosophy of Science.
Recent Publications
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E. Sullivan,Philippe Verreault-Julien
From Explanation to Recommendation
(2022) -
Emily Sullivan
Understanding from Machine Learning Models
British Journal for the Philosophy of Science (2022) -
Mark Alfano,Emily Sullivan,Amir Ebrahimi Fard
Ethical pitfalls for natural languages processing in psychology
(2022) -
Insa Lawler,Emily Sullivan
Model Explanation Versus Model-Induced Explanation
Foundations of Science (2021) -
Emily Sullivan,Mark Alfano
A Normative Framework for Sharing Information Online
(2021)
Ancillary Activities
No ancillary activities