Recent news about AI safety is fueling a new wave of political and societal fear. Five UW AI researchers discuss the real risks of AI and what to do about them.
Tag: artificial intelligence
A UW team studied seven popular agentic AI browsers and found that four create ways for malicious actors to bypass a fundamental cybersecurity protocol called the “same-origin policy,” which makes websites open in a browser unable to interact with each other’s information. Researchers ran a successful proof-of-concept cyberattack on one browser.
In a new UW study, 528 participants worked with simulated AI systems to select job candidates. The researchers simulated different levels of racial biases for resumes from white, Black, Hispanic and Asian men. Without suggestions, participants’ choices exhibited little bias. But when provided with recommendations, participants mirrored the AI’s biases.
University of Washington researchers use AI to simulate the Earth’s current climate and interannual variability for up to 1,000 years. The model runs on a single processor and takes just 12 hours to generate a forecast.
University of Washington researchers recruited self-identifying Democrats and Republicans to make political decisions with help from three versions of ChatGPT: a base model, one with liberal bias and one with conservative bias. Democrats and Republicans were both likelier to lean in the direction of the biased chatbot they were talking with than those participants who interacted with the base model.
UW News sat down with experts in public health and AI to discuss AI could enhance health care, what’s standing in the way, and whether there’s a downside to democratizing medical research.
The University of Washington and the University of Tsukuba have entered an innovation partnership with NVIDIA and Amazon aimed at furthering research, entrepreneurship, workforce development and social implementation in the field of artificial intelligence. This U.S.-Japan academic partnership is part of a broad, $110 million effort to build upon the strong ties between the U.S. and Japan and to continue to lead innovation and technological breakthroughs in artificial intelligence.
As researchers explore potential applications for AI, they have found scenarios where AI could be really useful but there’s not enough data to accurately train the algorithms. Jenq-Neng Hwang, University of Washington professor of electrical and computer and engineering, specializes in these issues.
Mike Teodorescu, a University of Washington assistant professor in the Information School, proposes that private enterprise standards for fairer machine learning systems would inform governmental regulation.
Katie Davis, a University of Washington associate professor in the Information School, discusses how generative AI might support learning, instead of detracting from it, if kids can keep their agency.
Jason Yip, a UW associate professor in the Information School, discusses how parents and schools can adapt to new technologies in ways that support children’s learning.
Training a large language model, such as ChatGPT, uses on average roughly equivalent to the yearly electricity consumption of over 1,000 U.S. households, according to Sajjad Moazeni, UW assistant professor of electrical and computer engineering, who studies networking for AI and machine learning supercomputing.
A team led by researchers at the University of Washington studied how artificial intelligence could help people on the platform TalkLife, where people give each other mental health support. The researchers developed an AI system that suggested changes to participants’ responses to make them more empathetic. The best responses resulted from a collaboration between AI and people.