Peter Buxmann
Papers
2
Total Citations
16
H-Index
2
About
Peter Buxmann is a leading scholar at the intersection of artificial intelligence, information systems, and business innovation. His research primarily focuses on the societal and organizational implications of AI, with key contributions spanning AI ethics, human-machine collaboration, and the practical deployment of intelligent systems in high-stakes environments like healthcare. Notably, his work on a robotic scrub nurse that anticipates surgical instruments using real-time laparoscopic video analysis (2024, 13 citations) exemplifies his commitment to translating cutting-edge AI into tangible, life-saving applications. Buxmann also advances critical discourse on AI governance through empirical studies, such as his user-driven prioritization of ethical principles for AI systems (2024, 3 citations), which provides a grounded, stakeholder-informed framework for responsible AI development. His research is distinguished by its methodological rigor and real-world relevance, bridging technical feasibility with ethical accountability. With a career dedicated to shaping how AI integrates into professional and societal contexts, Buxmann’s work continues to inform both academic theory and industry practice, making him a pivotal voice in the responsible evolution of intelligent technologies.
Research Focus
Key Achievements
Top Papers
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