Andrew Lohn is a Senior Fellow at Georgetown’s Center for Security and Emerging Technology (CSET), where he works on the CyberAI Project. Prior to joining CSET, he was an Information Scientist at the RAND Corporation, where he led research focusing mainly on cybersecurity and artificial intelligence. Prior to RAND, Andrew worked in material science and nanotechnology at Sandia National Laboratories, NASA, Hewlett Packard Labs, and a few startup companies. He has published in a variety of fields and his work has been covered in MIT Technology Review, Gizmodo, Foreign Policy and BBC. He has a PhD in electrical engineering from UC Santa Cruz and a Bachelors in Engineering from McMaster University.
Hacking AIDecember 2020
Machine learning systems’ vulnerabilities are pervasive. Hackers and adversaries can easily exploit them. As such, managing the risks is too large a task for the technology community to handle alone. In this primer, Andrew Lohn writes that policymakers must understand the threats well enough to assess the dangers that the United States, its military and intelligence services, and its civilians face when they use machine learning.