Philippe Verreault-Julien
Philippe Verreault-Julien
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Recent & Upcoming Talks
2023
Ethical Nudging with Opaque Recommender Systems?
This paper examines ethical challenges that arise in the context of using deep learning models for nudging. In particular, I will show …
June 22, 2023 14:00 — 14:25
Center for Science and Thought, University of Bonn
Philippe Verreault-Julien
Project
Ethical Nudging with Opaque Artificial Intelligence Systems?
This paper examines the challenge to transparency that deep learning models used in recommender systems raise for ethical nudging. In …
May 26, 2023 10:15 — 10:45
Ca’ Foscari University, Venice
Philippe Verreault-Julien
Project
Lessons Large Language Models Teach Us About Understanding
This paper explores the implications of state-of-the-art large language models (LLMs) such as GPT-3.5-turbo for the concept of …
March 26, 2023 16:00 — 17:40
New York University, USA
Philippe Verreault-Julien
Project
2022
Understanding and How-Possibly Explanations: Why Can’t They Be Friends?
In the current debate on the relation between how-possibly explanations (HPEs) and understanding, two seemingly irreconcilable …
November 11, 2022 19:00 — 21:00
Pittsburgh, PA, USA
Philippe Verreault-Julien
,
Till Grüne-Yanoff
PDF
Project
Salvaging Epistemically Possible How-Possibly Explanations from Epistemic Opacity
Some how-possibly explanations have epistemic value because they are epistemically possible; we cannot rule out their truth. One …
October 17, 2022 16:30
Tilburg University
Philippe Verreault-Julien
Project
Ethical Nudging with Opaque AI Systems?
Some how-possibly explanations have epistemic value because they are epistemically possible; we cannot rule out their truth. One …
October 7, 2022 11:00
Leiden
Philippe Verreault-Julien
Project
From Explanation to Recommendation: Ethical Standards for Algorithmic Recourse
People are increasingly subject to algorithmic decisions, and it is generally agreed that end-users should be provided an explanation …
August 1, 2022
Oxford
Philippe Verreault-Julien
Project
Explanation in Economics
Discussions in the literature on economic methodology often do not explicitly concern explanation. The goal of this chapter is to show …
July 4, 2022 09:00
Ghent University
Philippe Verreault-Julien
Toy models, dispositions, and the power to explain
May 16, 2022
Online
Philippe Verreault-Julien
Project
Recommander pour le bien-être: vers des standards éthiques pour le recours algorithmique
People are increasingly subject to algorithmic decisions, and it is generally agreed that end-users should be provided an explanation …
May 11, 2022 10:30
Université Laval
Philippe Verreault-Julien
Project
Toy models, dispositions, and the power to explain
Two recent contributions have discussed, and disagreed, over whether so-called toy models that attempt to represent dispositions have …
April 23, 2022 12:10
Fordham University
Philippe Verreault-Julien
Project
2021
Representing non-actual targets?
Scientists seek to learn about targets of interest by representing them with models. This supposes that we have an account of how …
June 1, 2021 14:00
University of Alberta
Philippe Verreault-Julien
Project
2020
Representing and Understanding (Im)Possible Targets?
One strategy that scientists use to understand targets of interest is by representing them with models. Understanding the world by …
March 12, 2020 — March 14, 2020
Emory University, United States
2019
Inferentialism and representation: chasing factivity
In this paper, I argue that two brands of inferentialism (Suárez 2004; Suárez 2015) and what I call the factive inferentialist account …
September 11, 2019
University of Geneva, Switzerland
Philosophical methodology in theoretical modelling: the case of herd behaviour
Naturalism is the view according to which philosophy should solve its problems using the empirical scientific methodology. It assumes a …
July 2, 2019
Lake Como School of Advanced Studies, Italy
2018
Hamilton’s rule: understanding the disagreement about its explanatoriness
November 9, 2018
University of Twente, The Netherlands
with Vaios Koliofotis
Learning and understanding with models: same same but different?
June 11, 2018
University of Turin, Italy
Hamilton’s rule: understanding the disagreement about its explanatoriness
May 23, 2018
Ghent University, Belgium
with Vaios Koliofotis
Learning and understanding with models: same same but different?
March 15, 2018
University of South Carolina, Columbia, United States of America
2017
Learning and understanding with models: same same but different?
October 12, 2017
University of Helsinki, Finland
Models and how-possibly explanations: a demarcation problem
September 6, 2017
University of Exeter, United Kingdom
How possibly could how-possibly explanations explain?
March 24, 2017
Erasmus University Rotterdam, The Netherlands
2016
The inferentialist conception of model-based understanding: A new hope or return of the puzzlement?
December 10, 2016
Groningen, The Netherlands
Non-causal understanding with economic models: the case of general equilibrium
June 16, 2016
Aix-en-Provence, France
A case for non-causal understanding with models
May 18, 2016
University of Barcelona, Spain
2015
A case for non-causal understanding with economic models
November 22, 2015
University of Cape Town, South Africa
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