Nathan Sanders
Papers
1
Total Citations
1
H-Index
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About
Nathan Sanders is a data scientist and researcher whose work bridges artificial intelligence safety, cybersecurity, and the ethical governance of emerging technologies. He is best known for his interdisciplinary approach to understanding how AI can be kept aligned with human values, drawing critical lessons from fields like cybersecurity, robotics, and astrobiology. In his widely discussed 2025 essay, "3 Ways to Keep AI on Our Side," co-authored with security expert Bruce Schneier, Sanders argues that traditional safety nets are insufficient for the rapid pace of AI development, and instead proposes fresh frameworks rooted in real-world engineering and existential risk management. Though early in its citation impact, this work has already sparked conversation among policymakers and technologists. Sanders’ broader contributions include advancing the idea that AI safety must be proactive, not reactive, and that researchers must learn from historical failures in complex systems. His writing is known for making technical, high-stakes concepts accessible to a broad audience, positioning him as a thoughtful voice in the urgent debate over humanity’s relationship with intelligent machines.
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Top Papers
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