Projects per year
Personal profile
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.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Projects
- 4 Active
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Explain Yourself! The scope of understanding and explanation from machine learning models (VENI)
1/02/21 → 31/01/24
Project: Research direct
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OAI: Opacity in AI: Analysis, Impact, Policy (EASI & IC)
Müller, V. C., Verreault-Julien, P. & Sullivan, E.
1/01/21 → 31/12/24
Project: 1st tier research
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ESDiT: Ethics of Socially Disruptive Technologies (ESDiT)
Müller, V. C., Löhr, G., van der Puil, R., Spahn, A., Frank, L. E., Bombaerts, G., Nickel, P. J., O'Neill, E., Royakkers, L. M. M., IJsselsteijn, W. A., Hummel, P., Dennis, M. J., IJsselsteijn, W. A. & Sullivan, E.
1/01/19 → 31/12/23
Project: Research direct
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Ethical pitfalls for natural languages processing in psychology
Alfano, M., Sullivan, E. & Ebrahimi Fard, A., 2022, Handbook of Language Analysis in Psychology. Dehghani, M. & Boyd, R. L. (eds.). Guilford PublicationsResearch output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
Open AccessFile26 Downloads (Pure) -
From Explanation to Recommendation: Ethical Standards for Algorithmic Recourse
Sullivan, E. & Verreault-Julien, P., 26 Jul 2022, AIES 2022 - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society. Association for Computing Machinery, Inc, p. 712–722 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile2 Citations (Scopus)42 Downloads (Pure) -
Inductive Risk, Understanding, and Opaque Machine Learning Models
Sullivan, E., Dec 2022, In: Philosophy of Science. 89, 5, p. 1065-1074 10 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile16 Downloads (Pure) -
Understanding from Machine Learning Models
Sullivan, E., Mar 2022, In: British Journal for the Philosophy of Science. 73, 1, p. 109-133 25 p.Research output: Contribution to journal › Article › Academic › peer-review
39 Citations (Scopus) -
A Normative Framework for Sharing Information Online
Sullivan, E. & Alfano, M., 2021, The Oxford Handbook of Digital Ethics. Véliz, C. (ed.). Oxford University PressResearch output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
Prizes
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Explain Yourself! The scope of understanding and explanation from machine learning models
Sullivan, Emily (Recipient), 2 Nov 2020
Prize: NWO › Veni › Scientific
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PEriTiA Prize
Sullivan, Emily (Recipient), Sondag, Max F.M. (Recipient), Rutter, Ignaz (Recipient), Meulemans, Wouter (Recipient), Cunningham, Scott (Recipient), Speckmann, Bettina (Recipient) & Alfano, Mark (Recipient), 24 Feb 2020
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Inductive risk, understanding, and opaque machine learning models
Emily Sullivan (Speaker)
Nov 2021Activity: Talk or presentation types › Contributed talk › Scientific
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How non-epistemic values shape the ML opacity problem
Emily Sullivan (Speaker)
8 Oct 2021 → 9 Oct 2021Activity: Talk or presentation types › Keynote talk › Scientific
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European Journal for Philosophy of Science (Journal)
Emily Sullivan (Associate editor)
Sept 2021 → …Activity: Publication peer-review and editorial work types › Editorial activity › Scientific
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Panel on algorithmic recommendation systems as part of the Digital Future Summit
Emily Sullivan (Speaker)
2021Activity: Talk or presentation types › Invited talk › Professional
Press/Media
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Five Eindhoven University of Technology Researchers Receive Veni Grants
Sofie Haesaert, Max V. Birk, Loe Schlicher & E. Sullivan
6/11/20
1 item of Media coverage
Press/Media: Expert Comment
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Five TU/e researchers receive Veni grants
Sofie Haesaert, Max V. Birk, Loe Schlicher & E. Sullivan
5/11/20
2 items of Media coverage
Press/Media: Expert Comment
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What is machine learning and why is it important for philosophy?
12/09/20
1 Media contribution
Press/Media: Public Engagement Activities