CSET's Margarita Konaev weighs in on the DOD's list of technological priorities and vision for deliverable military capabilities.

Artificial intelligence offers enormous promise to address a number of societal challenges, but it can also exacerbate existing ones. CSET Research Fellow Katerina Sedova, and John Bansemer, CSET Senior Fellow and Director of the CyberAI Project, discussed countering the threat of automated disinformation.

Between 2012 and 2018, the amount of computing power used by record-breaking artificial intelligence models doubled every 3.4 months. Even with money pouring into the AI field, this trendline is unsustainable. Because of cost, hardware availability and engineering difficulties, the next decade of AI can't rely exclusively on applying more and more computing power to drive further progress.

In an analysis of different countries' use of artificial intelligence to combat COVID-19, Research Analyst Emily Weinstein offers a brief highlighting China's COVID response using AI.

Mina Narayanan is a Research Analyst at CSET focused on AI Standards and Testing.

CSET's Director of Strategy Helen Toner spoke with Anders Corr from The Journal of Political Risk on the risks of AI.

The Chinese military has made extraordinary progress in procuring AI systems for combat and support functions according to a CSET's report "Harnessed Lightning."

It is common for observers to compare machine intelligence with individual human intelligence, but this tendency can narrow and distort understanding. Rather, this paper suggests that machines, bureaucracies and markets can usefully be regarded as a set of artificial intelligences that have been invented to complement the limited abilities of individual human minds to discern patterns in large amounts of data. This approach opens an array of possibilities for insight and future investigation.

Progress in artificial intelligence has led to growing concern about the capabilities of AI-powered surveillance systems. This data brief uses bibliometric analysis to chart recent trends in visual surveillance research — what share of overall computer vision research it comprises, which countries are leading the way, and how things have varied over time.

CSET's Helen Toner and Andrew Lohn spoke with IEEE Spectrum about the dangerous implications of AI-enabled systems.