Fleur Jongepier
Biographic Data
| ID | 4500945 |
|---|---|
| NAME | Fleur Jongepier |
| GIVEN NAMES | Fleur |
| FAMILY NAME | Jongepier |
| SIGNATURE | JONGEPIER F |
| AFFILIATIONS | Radboud University Nijmegen |
| ORCID | 0000-0003-0784-919X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Explanation and Agency
A large part of the explainable AI literature focuses on what explanations are in general, what algorithmic explainability is more specifically, and how to code these principles of explainability into AI systems. Much less attention has been devoted to the question of why algorithmic decisions and systems should be explainable and whether there ought to be a right to explanation and why. We therefore explore the normative landscape of the need fo…
Philosophy of Online Manipulation
The Value of Transparent Self-Knowledge
Questions about the normative significance of ‘transparency’ do not receive much attention, even though they were central to Richard Moran’s (2001) original account. Instead, transparency is typically studied because of its epistemic and psychological peculiarities. In this paper, I consider three normative conceptions of transparency: teleological rationalism, procedural rationalism, and relational rationalism. The first is a theory about how tr…
No prominent works on this page.
The Value of Transparent Self-Knowledge
Questions about the normative significance of ‘transparency’ do not receive much attention, even though they were central to Richard Moran’s (2001) original account. Instead, transparency is typically studied because of its epistemic and psychological peculiarities. In this paper, I consider three normative conceptions of transparency: teleological rationalism, procedural rationalism, and relational rationalism. The first is a theory about how tr…
Explanation and Agency
A large part of the explainable AI literature focuses on what explanations are in general, what algorithmic explainability is more specifically, and how to code these principles of explainability into AI systems. Much less attention has been devoted to the question of why algorithmic decisions and systems should be explainable and whether there ought to be a right to explanation and why. We therefore explore the normative landscape of the need fo…
Philosophy of Online Manipulation
Epistemology (2 works) · Law (2 works) · Normative (2 works) · Philosophy (2 works) · Political science (2 works) · Psychology (2 works) · Sociology (2 works) · Appeal (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Cognitive science (1 works)