CSET’s CyberAI Project focuses on the intersection of AI/ML and cybersecurity, including analysis of AI/ML’s potential uses in cyber operations, the potential failure modes of AI/ML applications for cyber, how AI/ML may amplify future disinformation campaigns, and geostrategic competition centered around cyber and AI/ML.

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Automating Cyber Securing AI AI & Disinformation Talent and Education Compute International CyberAI Progress

Data Snapshot

Identifying Cyber Education Hotspots: An Interactive Guide

Maggie Wu Brian Love

| June 5, 2024

In February 2024, CSET introduced its new cybersecurity jobs dataset, a novel resource comprising ~1.4 million LinkedIn profiles of current U.S. cybersecurity workers. This data snapshot uses the dataset to identify top-producing institutions of cybersecurity talent.

Analysis

Putting Teeth into AI Risk Management

Matthew Schoemaker

| May 2024

President Biden's October 2023 executive order prioritizes the governance of artificial intelligence in the federal government, prompting the urgent creation of AI risk management standards and procurement guidelines. Soon after the order's signing, the Office of Management and Budget issued guidance for federal departments and agencies, including minimum risk standards...

Analysis

How Persuasive is AI-Generated Propaganda?

Josh A. Goldstein Jason Chao Shelby Grossman Alex Stamos Michael Tomz

| February 2024

Research participants who read propaganda generated by GPT-3 davinci (a large language model) were nearly as persuaded as those who read real propaganda from Iran or Russia, according to a new peer-reviewed study by Josh A. Goldstein and co-authors.

The NAIRR Pilot: Estimating Compute

Kyle Miller Rebecca Gelles

| May 8, 2024

The National Artificial Intelligence Research Resource (NAIRR) pilot provides federal infrastructure, including computational resources, to U.S. AI researchers. This blog post estimates the compute provided through the pilot, and finds that it is roughly 3.77 exaFLOPS, the equivalent of approximately 5,000 H100 GPUs (using the tensor cores optimal for AI).

How Will AI Change Cyber Operations?

Jenny Jun

| April 30, 2024

In her op-ed featured in War on the Rocks, CSET's Jenny Jun discussed the nuanced relationship between AI and cyber operations, highlighting both the optimism and caution within the U.S. government regarding AI's impact on cyber defense and offense.

Riding the AI Wave: What’s Happening in K-12 Education?

Ali Crawford Cherry Wu

| April 2, 2024

Over the past year, artificial intelligence has quickly become a focal point in K-12 education. This blog post describes new and existing K-12 AI education efforts so that U.S. policymakers and other decision-makers may better understand what’s happening in practice.

John Bansemer

Director of the CyberAI Project and Senior Fellow

Ali Crawford

Research Analyst

Andrew Lohn

Executive Office of the President, National Security Council Staff

Colin Shea-Blymyer

Research Fellow

Jenny Jun

Research Fellow

Jessica Ji

Research Analyst

Josh A. Goldstein

Research Fellow

Kyle Crichton

Research Fellow

Kyle Miller

Research Analyst

Maggie Wu

Data Research Analyst

In a new preprint paper, CSET's Josh A. Goldstein and the Stanford Internet Observatory's Renee DiResta explored the use of AI-generated imagery to drive Facebook engagement.

In an article published by the Brennan Center for Justice, Josh A. Goldstein and Andrew Lohn delve into the concerns about the spread of misleading deepfakes and the liar's dividend.

In a WIRED article discussing issues with Microsoft's AI chatbot providing misinformation, conspiracies, and outdated information in response to political queries, CSET's Josh A. Goldstein provided his expert insights.

In a KCBS Radio segment that explores the rapid rise of AI and its potential impact on the 2024 election, CSET's Josh Goldstein provides his expert insights.

In a BBC article that discusses the urgent need to integrate cybersecurity measures into artificial intelligence systems, CSET's Andrew Lohn provided his expert analysis.

In a Forbes article discussing the challenges posed by AI-generated content in the context of political campaigns and the upcoming presidential election, CSET's Josh A. Goldstein provided his expert take.