Emily Sullivan

About Emily Sullivan

Emily Sullivan, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Technische Universiteit Eindhoven, specializes in the field of Epistemology, Philosophy of Science, Philosophy of Technology, Philosophy of AI.

His recent articles reflect a diverse array of research interests and contributions to the field:

SIDEs: Separating Idealization from Deceptive Explanations in xAI

Reliability in machine learning

Explanation Hacking: The perils of algorithmic recourse

Motivated numeracy and active reasoning in a Western European sample

Do Machine Learning Models Represent Their Targets?

How Values Shape the Machine Learning Opacity Problem

Link Uncertainty, Implementation, and ML Opacity: A Reply to Tamir and Shech

Inductive Risk, Understanding, and Opaque Machine Learning Models

Emily Sullivan Information

University

Position

Assistant Professor

Citations(all)

436

Citations(since 2020)

423

Cited By

97

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

13

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Emily Sullivan Skills & Research Interests

Epistemology

Philosophy of Science

Philosophy of Technology

Philosophy of AI

Top articles of Emily Sullivan

SIDEs: Separating Idealization from Deceptive Explanations in xAI

arXiv preprint arXiv:2404.16534

2024/4/25

Reliability in machine learning

2024

Explanation Hacking: The perils of algorithmic recourse

2024

Motivated numeracy and active reasoning in a Western European sample

Behavioural Public Policy

2024/1

Do Machine Learning Models Represent Their Targets?

Philosophy of Science

2023

How Values Shape the Machine Learning Opacity Problem

2022/12/13

Link Uncertainty, Implementation, and ML Opacity: A Reply to Tamir and Shech

2022/12/13

Inductive Risk, Understanding, and Opaque Machine Learning Models

Philosophy of Science

2022/12

The wisdom_of_crowds: an efficient, philosophically-validated, social epistemological network profiling toolkit

2022/11/8

From Explanation to Recommendation: Ethical Standards for Algorithmic Recourse

2022/7/26

Understanding from machine learning models

The British Journal for the Philosophy of Science

2022/3/1

Ethical pitfalls for natural language processing in psychology

2022

Model explanation versus model-induced explanation

Foundations of Science

2021/12

A Normative Framework for Sharing Information Online

The Oxford Handbook of Digital Ethics

2021

Vulnerability in social epistemic networks

International Journal of Philosophical Studies

2020/10/19

Vectors of epistemic insecurity

Vice Epistemology

2020/10/15

Humility in social networks

2020/6/15

Changing minds through argumentation: Black Pete as a case study

2020/6

Can Real Social Epistemic

Oxford Studies in Experimental Philosophy Volume 3

2020/4/10

Van mening veranderen op Twitter? Zwarte Piet als casus

2020/4/2

See List of Professors in Emily Sullivan University(Technische Universiteit Eindhoven)