Data Science

Jennifer Melot

Senior Software Engineer Print Bio

Jennifer Melot is a Senior Software Engineer at Georgetown’s Center for Security and Emerging Technology (CSET). Previously she worked in the Artificial Intelligence Technology and Systems (formerly Human Language Technology) group at MIT Lincoln Laboratory, supporting work for government sponsors in areas including pronunciation modeling and feedback, data management and review, and test and evaluation of human language technology systems. She holds an S.B. from MIT, where she double-majored in Computer Science and Linguistics.

China wants to be a “cyber powerhouse” (网络强国). At the heart of this mission is the sprawling 40 km2 campus of the National Cybersecurity Center. Formally called the National Cybersecurity Talent and Innovation Base (国家网络安全人才与创新基地), the NCC is being built in Wuhan. The campus, which China began constructing in 2017 and is still building, includes seven centers for research, talent cultivation, and entrepreneurship; two government-focused laboratories; and a National Cybersecurity School.

CSET’s Private-sector AI-Related Activity Tracker (PARAT) collects data related to companies’ AI research and development to inform analysis of the global AI sector. The global AI market is already expanding rapidly and is likely to continue growing in the coming years. Identifying “AI companies” helps illustrate the size and health of the AI industry in which they participate as well as the most sought-after skills and experience in the AI workforce.

The task of artificial intelligence policymaking is complex and challenging, made all the more difficult by such a rapidly evolving technology. In order to address the security and economic implications of AI, policymakers must be able to viably define, categorize and assess AI research and technology. In this issue brief, CSET puts forward a functional definition of AI, based on three core principles, that significantly outperforms methods developed over the last decade.