Sandra Siebert

Papers

1

Total Citations

4

H-Index

1

About

Sandra Siebert is a researcher whose work sits at the critical intersection of machine ethics, artificial intelligence, and the legal and moral dimensions of autonomous systems. Her most notable contribution, "Logical Limitations to Machine Ethics with Consequences to Lethal Autonomous Weapons" (2014), tackles one of the most pressing and controversial challenges in modern AI discourse: whether autonomous weapons systems can ever be meaningfully programmed to adhere to ethical and legal frameworks such as the Geneva Conventions. Rather than accepting the optimistic premise that moral principles can simply be encoded into machines, Siebert rigorously examines the fundamental logical barriers that prevent such systems from achieving genuine moral agency. This work has garnered 4 citations and positions her as a thoughtful voice in debates surrounding the governance and deployment of lethal autonomous weapons — a topic of growing urgency among policymakers, ethicists, and technologists alike. Her research is particularly valuable for students and scholars grappling with questions about AI accountability, the limits of machine decision-making, and the profound responsibilities that accompany the development of autonomous military technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Logical Limitations to Machine Ethics with Consequences to Lethal Autonomous Weapons
4 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 2

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 8 days ago