Heather Frase, PhD is a Senior Fellow at Georgetown’s Center for Security and Emerging Technology (CSET), where she works on AI Standards and Testing. Prior to joining CSET, Heather spent eight years providing data analytics, computational modeling, Machine Learning (ML), and Artificial Intelligence (AI) support for Intelligence, Defense, and Federal contracts. Additionally, Heather spent 14 years at the Institute for Defense Analyses (IDA), supporting Director, Operational Test and Evaluation (DOT&E). At IDA she led analytic research teams to apply scientific, technological, and statistical expertise to develop data metrics and collection plans for operational tests of major defense systems, analyze test data, and produce assessments of operational effectiveness and suitability. She has a Ph.D. in Material Science from the California Institute of Technology and a BS in Physics from Miami University in Oxford Ohio.
Artificial intelligence systems are rapidly being deployed in all sectors of the economy, yet significant research has demonstrated that these systems can be vulnerable to a wide array of attacks. How different are these problems from more common cybersecurity vulnerabilities? What legal ambiguities do they create, and how can organizations ameliorate them? This report, produced in collaboration with the Program on Geopolitics, Technology, and Governance at the Stanford Cyber Policy Center, presents the recommendations of a July 2022 workshop of experts to help answer these questions.
One Size Does Not Fit All
February 2023Artificial intelligence is so diverse in its range that no simple one-size-fits-all assessment approach can be adequately applied to it. AI systems have a wide variety of functionality, capabilities, and outputs. They are also created using different tools, data modalities, and resources, which adds to the diversity of their assessment. Thus, a collection of approaches and processes is needed to cover a wide range of AI products, tools, services, and resources.