Kyle Crichton, PhD
Kyle is a Research Fellow at the Center for Security and Emerging Technology (CSET), where he works on the CyberAI Project. Prior to joining CSET, he was a doctoral student in the Engineering and Public Policy Department at Carnegie Mellon University. His research has focused on the privacy and security of AI systems, use of machine learning in online tracking, and user web browsing behavior. He holds a PhD in Engineering and Public Policy from Carnegie Mellon University, an MS in Cybersecurity and an MPA from Syracuse University, and an AB in Government from Harvard University.
Email:
kyle.crichton@georgetown.edu
Mailing Address:
Center for Security and Emerging Technology (CSET)
500 First St NW
Washington, DC 20001
Research Highlights
Practitioners are inundated with information on how to implement AI best practices. This report cuts through the noise, distilling over 7,000 recommendations from 52 AI guidance documents into a single harmonized framework that covers AI governance, safety, security, privacy, and incident response practices.
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This paper examines how the web pages we visit can be used by and adversary to enable more persistent, long-term, and privacy-invasive web tracking. We show that this machine learning technique results in users losing 78-85% of their anonymity within the first 15-60 seconds coming online.
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A close inspection of how people browse the internet. We identify major changes in browsing patterns over the past two decades, observe that users today spend over 50% of their time on a mere 32 different websites, and examine how users get to low-visited periphery sites.
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