A report by CSET's Josh Goldstein, Micah Musser, and CSET alumna Katerina Sedova in collaboration with OpenAI and Stanford Internet Observatory was cited in an article published by Forbes.

In an op-ed published in Time, CSET's Helen Toner discusses the challenges of understanding and interacting with chatbots powered by large language models, a form of artificial intelligence. 

Congress Is Falling Behind on AI

The Messenger
| May 16, 2023

The Messenger published an article featuring insights from CSET's Mina Narayanan. The article delves into the growing concerns surrounding the regulation of artificial intelligence and the challenges Congress faces in developing rules for its use.

A CSET report was cited in an article published by GCN discussing Montana's proposed statewide ban on TikTok and other social media apps.

CSET's Heather Frase was quoted by the Associated Press in an article discussing the Biden administration's efforts to ensure the responsible development of AI.

An AI reckoning coming in August

| May 4, 2023

CSET's Heather Frase was interviewed by Politico, and the discussion was published in their newsletter in a segment that discusses a plan by the U.S. government to conduct a public experiment at the DEFCON 31 hacking convention in August.

Using A.I. in Everyday Life

The New York Times
| April 21, 2023

The New York Times' Morning Newsletter cited CSET's Helen Toner in a piece about the rise of artificial intelligence and how it could become a regular part of our everyday lives.

CSET’s Heather Frase was interviewed by The Financial Times in an article about OpenAI's red team and their mission to test and mitigate the risks of GPT-4.

The case for slowing down AI

| March 20, 2023

CSET'S Helen Toner was recently cited in a Vox piece discussing the popular narrative of an AI arms race between the US and China.

One Size Does Not Fit All

Heather Frase
| February 2023

Artificial 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.