28.04.2024
©MCML
Call for Abstracts - MCML Workshop on “The Ethics of Partiality, Human-Robot Relationships, and AI”
24–25 October 2024, LMU Munich
LMU’s research group in AI ethics, together with the MCML, the Center for Ethics and Philosophy in Practice, and the Oxford Uehiro Centre for Practical Ethics, welcomes submissions of extended abstracts (750 to 1000 words) for a two-day workshop on the ethics of partiality, human-robot relationships, and AI taking place in Munich this fall.
The workshop will be in a pre-read format. This means that presenting researchers will share their new papers in advance of the workshop so that they can be read by all participants. The workshop sessions then consist of: an optional paper presentation by the author, a paper commentary by one of the workshop participants, and one hour of open Q&A to discuss the paper.
Confirmed presenters include:
- Helen Ryland (Open University)
- Emma Gordon (University of Glasgow)
- Jeremy Davies (University of Georgia)
- Anca Gheaus (Central European University).
Abstracts on any topic relating to the ethics of partiality, human-robot relationships, and the ethics of AI as it relates to relationships and partiality are welcome!
Submission deadline: 22 May 2024, 1pm CET via partialityaiconference@lrz.uni-muenchen.de
Co-organized by MCML PI Sven Nyholm, MCML JRG Leader Benjamin Lange, and Lara Maszynski (LMU) and Tom Douglas (Oxford).
Related
19.01.2026
MCML at AAAI 2026
MCML researchers are represented with 9 papers at AAAI 2026 (6 Main, and 3 Workshops).
19.01.2026
MCML PI Frauke Kreuter Featured on ARD Alpha on AI
MCML PI Frauke Kreuter featured on ARD alpha discussing AI in daily life, workplace applications, and responsible, future-ready use.
15.01.2026
Blind Matching – Aligning Images and Text Without Training or Labels
CVPR 2025 research from Daniel Cremers’ group shows how images and text can be aligned without training data, labels, or paired examples.
12.01.2026
MCML PIs Featured in Süddeutsche Zeitung
MCML PIs Xiaoxiang Zhu and Felix Dietrich featured in Süddeutsche Zeitung for TU Munich’s 2025 breakthroughs in AI and data science.