What's Happening?
RAND's Center on AI, Security, and Technology (CAST), a component of its Global and Emerging Risks (GER) Division, is actively recruiting researchers to advance the technical foundations of AI safety. The roles are designed for individuals with deep expertise
in areas such as theoretical computer science, cryptography, formal methods, programming languages, systems security, computer architecture, distributed systems, or machine learning systems. These researchers will conduct original technical research at the intersection of AI and security, focusing on securing AI systems, understanding their cyber capabilities, and examining their policy implications. The work involves identifying important research problems, developing appropriate methods, and leading projects from conception through analysis, implementation, experimentation, and publication. The positions are structured as three-year appointments with potential for renewal and longer-term employment, and RAND offers hybrid, in-person, and fully remote work options across its U.S. offices.
Why It's Important?
This recruitment drive by RAND's CAST is significant for several reasons. It underscores the growing national and international concern regarding the security and safety of artificial intelligence systems, particularly as AI becomes more integrated into critical infrastructure and national security applications. By focusing on the technical foundations of AI safety, RAND aims to contribute to the development of robust and secure AI technologies, which is crucial for maintaining trust and preventing misuse. The interdisciplinary nature of the required expertise—spanning computer science, cryptography, and machine learning—highlights the complex challenges involved in AI security. The research conducted will not only inform the broader technical community but also provide critical analysis to senior government and industry leaders, influencing policy decisions related to AI governance and deployment. This initiative reflects a proactive approach to addressing potential vulnerabilities and ethical considerations in AI development, positioning the U.S. at the forefront of responsible AI innovation.
What's Next?
The newly recruited AI Security Researchers at RAND's CAST will be tasked with conducting original research that will inform both the technical community and policymakers. Their work is expected to lead to peer-reviewed publications, technical reports, research artifacts, and policy-facing products. This output will be crucial for shaping future policies and strategies related to AI security and safety. The emphasis on translating technical research for non-technical audiences indicates a commitment to bridging the gap between cutting-edge technological advancements and practical policy implementation. As these researchers delve into securing AI systems and understanding their cyber capabilities, their findings could influence national security doctrines, industry best practices, and international collaborations on AI regulation. The long-term goal is to ensure that AI development proceeds in a manner that protects global security and advances the public good, with continuous research and adaptation to the evolving landscape of AI threats and capabilities.
Beyond the Headlines
The initiative by RAND's CAST to bolster AI security research points to a deeper societal and geopolitical shift. As AI capabilities rapidly advance, the potential for both beneficial and malicious applications grows exponentially. The ethical and legal implications of AI systems, particularly in areas like autonomous weapons, surveillance, and critical infrastructure management, are becoming increasingly complex. By investing in AI safety research, RAND is addressing not just technical vulnerabilities but also the broader societal trust in AI. The demand for experts in cryptography, formal methods, and systems security within the AI context reflects a recognition that traditional cybersecurity paradigms may not be sufficient for the unique challenges posed by AI. This effort could also contribute to the development of new standards and certifications for AI systems, fostering a more secure and responsible AI ecosystem. Ultimately, the success of such initiatives will depend on sustained investment, interdisciplinary collaboration, and effective communication between researchers, policymakers, and the public to navigate the transformative impact of AI.
