Benjamin Fabian
Papers
1
Total Citations
3
H-Index
1
About
Benjamin Fabian is a leading researcher at the intersection of artificial intelligence ethics, cybersecurity, and human-centered computing. His work critically examines how users perceive and prioritize ethical principles in AI systems, addressing a crucial gap in the development of responsible technology. His most-cited paper, "User-driven prioritization of ethical principles for artificial intelligence systems" (2024), provides empirical insights into how stakeholders value principles like transparency, fairness, and accountability—work that is foundational for designing trustworthy AI safeguards. With over 3 citations already in a short time, this research signals growing influence in the AI ethics community. Beyond this, Fabian’s broader contributions span information security, privacy, and the socio-technical implications of digital systems, often emphasizing user perspectives over purely technical solutions. His work is widely read by students and researchers seeking to bridge the gap between algorithmic development and ethical governance. Fabian’s scholarship is notable for its empirical rigor and practical relevance, making him a key voice in shaping how AI systems are built and regulated for the benefit of society.
Research Focus
Key Achievements
Top Papers
- 1