[spsp-members] CfA: PhilML2024 in Tübingen

[Sebastian Zezulka]

*Call For Papers: Philosophy Meets Machine Learning 2024*

September 11-13, 2024

Cluster of Excellence: Machine Learning for Science, University of Tübingen

Lecture Hall, Tübingen AI Building
Maria-von-Linden-Str. 6
Tübingen
Germany

Website:https://sites.google.com/view/philml-tuebingen/home

The organizers of the fourth*Philosophy of Science Meets Machine Learning*
conference (PhilML‘24), taking place on September 11-13, 2024 at the
University of Tübingen, would like to invite the submission of extended
abstracts. Submissions, due May 24, should consist of an anonymised
extended abstract (750 words, not including references), along with a cover
sheet with your name, email-address and institutional affiliation. It
should be sent as an attachment to *philml2024 at gmail.com
<philml2024 at gmail.com>* .

Since 2021, PhilML has brought together scientifically-engaged philosophers
with machine learners to address foundational issues raised by developments
in ML research. Submissions are invited from all philosophical subfields,
including philosophy of science, mind, ethics, epistemology and political
philosophy, as well as foundational and philosophical submissions from
machine learners.

The workshop’s central topics include:

(i) Reflections on key topics such as learning, reliability, causal
inference, robustness, explanation, trust, transparency and understanding.

(ii) Implications of machine learning for the sciences, e.g. physics,
cognitive science, biology, psychology, social science or medicine.

(iii) Implications of machine learning for scientific methodology, e.g.
model-building and model selection, design of experiments, conceptual
engineering.

(iii) Issues arising at the intersection of machine learning and public
policy, e.g. risk assessment, resource allocation, climate and energy
policy, the provision of public services.

(iv) Novel considerations raised by foundation models e.g., authorship,
latent representation, or nativism/empiricism.

Each abstract will be reviewed by multiple philosophers/ML researchers
working in or around the University of Tübingen. Selection criteria are
research quality, novelty, and topical diversity. The workshop is organized
by the Cluster of Excellence ‘Machine Learning: New Perspectives for
Science.’ Decisions will be announced by mid-June.

For participation in the workshop we have to charge a registration fee of
(tentatively) 100 Euro for senior academics, respectively 50 Euros for
graduate students, covering beverages, lunch and snacks, and the conference
dinner.

If you have any questions, please email:thomas.grote at uni-tuebingen.de

-- 
Sebastian Zezulka
PhD student
Epistemology and Ethics of Machine Learning

Universität Tübingen
Cluster of Excellence
Machine Learning: New Perspectives for Science