Papers
10
Total Citations
273
H-Index
5
About
Sean Welsh is a prominent researcher specializing in the ethics of artificial intelligence and robotics, with particular expertise in moral philosophy, autonomous systems, and the governance of emerging technologies. His most influential work, *An Introduction to Ethics in Robotics and AI* (2020), has accumulated over 200 citations and stands as a foundational text bridging classical ethical theory with the practical challenges posed by intelligent machines. Welsh demonstrates a rare ability to synthesize complex moral frameworks — including deontology, consequentialism, and virtue ethics — and apply them rigorously to real-world AI and robotics contexts, making his scholarship accessible to both technical and philosophical audiences. Beyond foundational ethics, Welsh has made significant contributions to questions of legal liability in AI-related incidents, corporate risk management in AI development, and the psychological dimensions of human-robot interaction. His work on autonomous weapons systems, including a proposed Protocol VI to the Convention on Certain Conventional Weapons, reflects a commitment to translating academic ethics into actionable policy. His sustained advocacy for keeping humans in decision-making loops during autonomous system deployment underscores a consistent ethical thread throughout his career: that technological capability must always be tempered by moral accountability.
Research Focus
Key Achievements
Top Papers
- 1An Introduction to Ethics in Robotics and AI207 citations · 2020
- 2What Is AI?24 citations · 2020
- 3What Is Ethics?12 citations · 2020
- 4Ethics in AI and Robotics: A Strategic Challenge8 citations · 2020
- 5Responsibility and Liability in the Case of AI Systems7 citations · 2020
- 6Ethics and Security Automata5 citations · 2017
- 7Risks in the Business of AI4 citations · 2020
- 8Regulating Lethal and Harmful Autonomy2 citations · 2019
- 9We need to keep humans in the loop when robots fight wars2 citations · 2016
- 10Psychological Aspects of AI2 citations · 2020