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In a survey of 315 people conducted by researchers at the University of Washington and Georgetown University, respondents largely found creating and sharing sexually explicit “deepfakes” unacceptable. But far fewer respondents strongly opposed seeking out these media. Previous research has shown that other people viewing non-AI image-based abuse harms the victims significantly.

University of Washington researchers investigated how iBuyers — companies that use automated algorithms to quickly buy and sell homes — have affected the well-documented racial bias against Black home sellers. Looking at Mecklenburg County, North Carolina, they found that on average iBuyers paid more equal prices to Black and white home sellers than individual buyers, largely because iBuyers paid white sellers significantly less on average than an individual buyer. They also discovered that iBuyers were significantly more likely to resell homes to institutions, such as large rental companies that’ve been tied to high eviction rates and rent-gouging.

UW researchers found that ChatGPT consistently ranked resumes with disability-related honors and credentials — such as the “Tom Wilson Disability Leadership Award” — lower than the same resumes without those honors and credentials. But when researchers customized the tool with written instructions directing it not to be ableist, the tool reduced this bias for all but one of the disabilities tested.

“We asked one 11-year-old how he’d feel if his favorite book series was written by AI instead of an author, and he said it would ‘dismantle’ the joy of reading for him. We often don’t think about kids having these deep, existential questions about what it means to be an artist,” said Michele Newman, a University of Washington doctoral student in the Information School.

A University of Washington team has developed an artificial intelligence system that lets someone wearing headphones look at a person speaking for three to five seconds to “enroll” them. The system then plays just the enrolled speaker’s voice in real time, even as the pair move around in noisy environments.

Working with teens, UW researchers have designed RESeT: a snowy virtual world with six activities intended to improve mood. In a 3-week study of 44 Seattle-area teens, researchers found that most used the technology about twice a week without being prompted and reported lower stress levels after using the environment.

A team led by researchers at the University of Washington developed a new PCB that performs on par with traditional materials and can be recycled repeatedly with negligible material loss. Researchers used a solvent that transforms a type of vitrimer — a cutting-edge class of polymer — into a jelly-like substance without damage, allowing solid components to be plucked out for reuse or recycling. With these “vPCBs” (vitrimer printed circuit boards), researchers recovered 98% of the vitrimer and 100% of the glass fiber.

Robots in warehouses and even around our houses struggle to identify and pick up objects if they are too close together, or if a space is cluttered. This is because robots lack what psychologists call “object unity,” or our ability to identify things even when we can’t see all of them. Researchers at the University of Washington have developed a way to teach robots this skill.

A team at the University of Washington has created an interactive dashboard called WhaleVis, which lets users map data on global whale catches and whaling routes from 1880 to 1986. Scientists can compare this historical data and its trends with current information to better understand whale populations over time.

A team led by researchers at the University of Washington has developed deep-learning algorithms that let users pick which sounds filter through their headphones in real time. Either through voice commands or a smartphone app, headphone wearers can select which sounds they want to include from 20 classes, such as sirens, baby cries, speech, vacuum cleaners and bird chirps.

Seven researchers at the University of Washington conducted a three-month autoethnographic study — drawing on their own experiences as people with and without disabilities — to test AI tools’ utility for accessibility. Though researchers found cases in which the tools were helpful, they also found significant problems.