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Benjamin Lange

Dr.

JRG Leader Ethics of AI

Benjamin Lange

leads the MCML Junior Research Group ‘Ethics of Artificial Intelligence’ at LMU Munich.

He and his team conduct research into fundamental and application-related ethical issues relating to AI and ML. They deal with fundamental and practical questions of AI ethics from a philosophical-analytical perspective. By organizing conferences, workshops and panel discussions, the group aims to enter into an interdisciplinary exchange with researchers from philosophy and other disciplines. An important focus here is also communication with the wider public about the moral and social aspects of AI. Another important task of the JRG is the transfer of philosophical-ethical findings and results into practice, for example through collaborations and dialogue with industry and society.

Team members @MCML

PhD Students

Link to website

Anna-Maria Brandtner

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Jesse de Jesus de Pinho Pinhal

Recent News @MCML

Link to Benjamin Lange Explores Opportunities and Risks of AI Agents

23.09.2025

Benjamin Lange Explores Opportunities and Risks of AI Agents

Link to Benjamin Lange Featured on the MCAST Podcast

11.06.2025

Link to Benjamin Lange on ZDF Heute Journal

14.02.2025

Benjamin Lange on ZDF Heute Journal

Link to MCML Researchers With 130 Papers in Highly-Ranked Journals

MCML Researchers With 130 Papers in Highly-Ranked Journals

Link to Benjamin Lange About Risk and Opportunities of AI

16.09.2024

Benjamin Lange About Risk and Opportunities of AI

Publications @MCML

2025


[11]
B. Lange • G. Keeling • A. Manzini • A. McCroskery
We Need Accountability in Human-AI Agent Relationships.
Preprint (Oct. 2025). URL

[10]
N. Broestl • B. Lange • C. Voinea • G. Keeling • R. Lam
Evaluating Intra-firm LLM Alignment Strategies in Business Contexts.
Preprint (May. 2025). arXiv

[9]
B. Lange
Beyond the Ivory Tower? The Practical Role of Ethicists in Business.
Artificial Intelligence, Entrepreneurship and Risk. Technikzukünfte, Wissenschaft und Gesellschaft / Futures of Technology, Science and Society. Apr. 2025. DOI

[8]
B. D. Earp • S. P. Mann • M. Aboy • E. Awad • M. Betzler • M. Botes • R. Calcott • M. Caraccio • N. Chater • M. Coeckelbergh • M. Constantinescu • H. Dabbagh • K. Devlin • X. Ding • V. Dranseika • J. A. C. Everett • R. Fan • F. Feroz • K. B. Francis • C. Friedman • O. Friedrich • I. Gabriel • I. Hannikainen • J. Hellmann • A. K. Jahrome • N. S. Janardhanan • P. Jurcys • A. Kappes • M. A. Khan • G. Kraft-Todd • M. Kroner Dale • S. M. Laham • B. Lange • M. Leuenberger • J. Lewis • P. Liu • D. M. Lyreskog • M. Maas • J. McMillan • E. Mihailov • T. Minssen • J. Teperowski Monrad • K. Muyskens • S. Myers • S. Nyholm • A. M. Owen • A. Puzio • C. Register • M. G. Reinecke • A. Safron • H. Shevlin • H. Shimizu • P. V. Treit • C. Voinea • K. Yan • A. Zahiu • R. Zhang • H. Zohny • W. Sinnott-Armstrong • I. Singh • J. Savulescu • M. S. Clark
Relational Norms for Human-AI Cooperation.
Preprint (Feb. 2025). arXiv

[7] Top Journal
B. Lange
Moral parenthood and gestation: replies to Cordeiro, Murphy, Robinson and Baron.
Journal of Medical Ethics 51.2. Jan. 2025. DOI

[6] Top Journal
B. Lange
Moral parenthood: not gestational.
Journal of Medical Ethics 51.2. Jan. 2025. DOI

[5]
B. Lange
Digital Duplicates and Collective Scarcity.
Philosophy and Technology 38.7. Jan. 2025. DOI

2024


[4]
B. Lange
Epistemic Deference to AI.
AISoLA 2024 - 2nd International Conference on Bridging the Gap Between AI and Reality. Crete, Greece, Oct 30-Nov 03, 2024. DOI

[3]
G. Keeling • B. Lange • A. McCroskery • K. Pedersen • D. Weinberger • B. Zevenbergen
Moral Imagination for Engineering Teams: The Technomoral Scenario.
The International Review of Information Ethics 34.1. Oct. 2024. DOI

[2] Top Journal

[1]
K. Lam • B. Lange • B. Blili-Hamelin • J. Davidovic • S. Brown • A. Hasan
A Framework for Assurance Audits of Algorithmic Systems.
ACM FAccT 2024 - 7th ACM Conference on Fairness, Accountability, and Transparency. Rio de Janeiro, Brazil, Jun 03-06, 2024. DOI