CFP: 3rd Luxembourg Workshop on AI & Epistemology

Submission deadline: Tomorrow

Conference date(s):
June 13, 2024 - June 14, 2024

Go to the conference's page

Conference Venue:

University of Luxembourg
Esch-sur-Alzette, Luxembourg

Topic areas


The purpose of this workshop is to explore how recent advances in AI technology intersect with epistemological topics and debates. Some possible topics include, but are by no means limited to, the following:

(i) How (if at all) is it possible to understand, explain and gain knowledge about Neural Networks given the complexity and opacity of their internal operations and training history?

(ii) How might AI technologies be used to supplement and improve our own human epistemic capacities?

(iii) When (if ever) is it rational to rely on AI technologies whose internal operations we do not fully understand when forming beliefs?

(iv) What fixes the content of the outputs of Neural Networks? When (if ever) should we attribute contents to internal parts/processes of Neural Networks?

(v) To what extent, and in what ways, are the linguistic outputs of Large Language Models similar or dissimilar to Human Testimony?

(vi) What new light do recent advances in AI shed on Embodied/Embedded Cognition and/or the Extended Mind?

This workshop is part of the 3-year FNR funded project ‘The Epistemology of AI Systems’ (EAI).

Submissions: Extended Abstracts of 1000 words (max.), prepared for blind review, should be sent to [email protected]. The deadline for submission is April 15th, and we aim to send the notifications of acceptance by around the start of May. Please include your name, institutional affiliation, and the title of the submission in the main body of the email.

We will provide up to 3 nights accommodation plus a conference dinner for the authors of contributed talks. Please note however that we are not able to reimburse any travel expenses for contributed talks.

For any questions concerning the workshop, please, email at aleks.knoks[at] or thomas.raleigh[at]

Supporting material

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