Facial recognition technology is developing rapidly and is increasingly being used in policing. What do policymakers need to understand in order to minimize the risks it poses, while also maximizing its benefits?
William Marcellino, a senior behavioral and social scientist at RAND and professor at the Pardee RAND Graduate School, discusses the rapidly expanding reach of artificial intelligence, the challenges it could pose for both society and policymakers, and how the research community is poised to help.
This report is the technical documentation for a tool that tracks Chinese government–supported development finance projects that used or enabled artificial intelligence technology in the Global South between 2000 and 2017.
The authors analyze a new project finance dataset on China's development-funded artificial intelligence (AI) export projects — adding interview-based country case studies — to better understand China's AI exports and their impact on developing countries.
The China AI Exports Database (CAIED) tracks Chinese government-supported development finance projects that utilized or enabled Artificial Intelligence (AI) technology in the Global South between 2000 and 2017.
This report helps the Cybersecurity and Infrastructure Security Agency codify the concept of systemically important critical infrastructure by documenting the work surrounding systemic risks and cyber risks in software supply chains.
Pathogen surveillance—collecting and sharing data about infectious diseases and antimicrobial resistance—informs key public health decisions. What pathogen surveillance initiatives exist currently? And what are the main challenges they face?
This study examined the proportion of adolescents and young adults who had an opioid-related problem and who also had a personal opioid prescription drug claim or had a family member with an opioid prescription drug claim prior to the diagnosis.
This study revealed how novel data can inform policies that improve the efficiency of the US health care system. The study was limited to a single insurer and 7 procedures; however, it opens the door to using TiC data in other, broader settings.
Understanding how technology and artificial intelligence have—and have not—affected jobs in the past can provide insights on the future of the American workforce. What is the relationship between occupational exposure and technologies, wages, and employment related to artificial intelligence?
The authors evaluate occupational exposure to U.S. technology patents and specific artificial intelligence technologies, such as machine learning, natural language processing, speech recognition, planning control, and evolutionary computation.
Machine learning has great potential to enable military decisionmaking at the operational level of war but only when paired with human analysts who possess detailed understanding of the context behind a given problem.
Policymakers and cybersecurity analysts should avoid messaging that emphasizes the risk that cryptanalytically relevant quantum computers developed in secret could be imminent or already operational. There is already more than enough reason to upgrade our communications systems to resist attacks from quantum computers as soon as possible.
This research aims to explore how large-scale healthcare evaluations can be conducted rapidly, in tight timescales and with appropriate stakeholder engagement, through an evaluation of COVID-19 home monitoring services.
The security clearance process may seem confusing and opaque to the public. When people search the internet for answers they might encounter misinformation that could lead to misperceptions about the process. But there are opportunities for the government to clarify areas of confusion.
This paper presents an in-depth evaluation of differentially private synthetic data sets created for the National Institute of Standards and Technology's "Differential Privacy Synthetic Data Challenge."