Through the Static

By Gray Trammel

As the University of Washington (UW) expands its use of artificial intelligence through initiatives such as “Purple” and “AI@UW,” students are divided over whether the use of this technology represents an opportunity to improve education or a growing threat to jobs, transparency, and the environment. The debate comes as UW has expanded its partnership with Microsoft earlier this year, launched new AI research initiatives and introduced Purple, which is the university’s enterprise generative AI platform for students, faculty, and staff.

The expanded partnership builds on Microsoft’s previous $165 million investment in the school’s computer science programs and scholarships to advance AI research, education, and workforce development.

For some students, those investments prepare graduates for an increasingly AI-driven workforce. Others, however, argue it increases corporate influence over higher education, while introducing environmental and ethical concerns.

Saachi Sharma, a UW journalism and public interest communication major and senior vice president of the AI Collective, said universities have a responsibility to teach students how to use AI responsibly. The AI Collective is an independent nonprofit student organization that hosts workshops, “hackathons,” and networking events that introduce students from a wide range of majors to artificial intelligence and its applications.

“The purpose of getting a degree is to prepare you for the workforce,” Sharma told TtS. “If the trends of the workforce demand AI literacy or familiarity, then it’s in the university and students’ best interest to learn how they can use it.”

Sharma said she understands concerns surrounding misinformation, environmental impacts, and job displacement, but believes students should learn how to work with AI rather than avoid it.

“I definitely think that it needs governance,” she said. “The concerns are very valid and very real.”

Isaac Olson, a recent UW graduate, former member of the Institutional Climate Action (ICA) group, and organizer of the Boycott UWAI coalition, told TtS that the university has invested too heavily in artificial intelligence without meaningfully involving students in the decision-making process.

“We’re trying to get the university to be more transparent and reinvest the money that’s going into generative AI into things that actually support the community,” Olson said.

Olson expressed his concern about AI’s environmental footprint and the university’s growing partnerships with major technology companies. Recent research has identified electricity consumption, water use, greenhouse gas emissions, and electronic waste as growing environmental concerns associated with generative AI, adding to questions about the technology’s long-term sustainability.

“The infrastructure of artificial intelligence results in the exploitation of a lot of the same communities that are being disproportionately impacted by climate change,” he said.

Despite their different positions on AI’s role at UW, Sharma and Olson agreed that more conversation are needed. When asked whether the AI Collective had been contacted by Boycott UWAI organizers or any members of the ICA group, Sharma said no and expressed disappointment that supporters and critics of AI rarely engage directly with one another. When asked if the AI Collective had contacted the ICA she also said no.

“For some reason, those two groups never interact, which I think is a problem,” Sharma said. “There’s very, very valid points on both sides.”

Olson said his coalition has focused its efforts on university administrators because they believe the decisions surrounding AI implementation have been made without meaningful community input.

“I think it’s incredibly important to showcase that the university community is not in line with the university administration,” Olson said.

As colleges across the country continue implementing the use of artificial intelligence in classrooms, research, and administrative work, the debate at UW shows that more questions are raised by both sides about balancing technological innovation with ethics, sustainability and the future of higher education. While Sharma and Olson disagree on how the university should move forward, both say the students deserve a stronger voice in deciding AI’s future on campus and questioned how the university has handled the conversation surrounding its implementation.

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