Tag: University of Michigan

  • How US Law Schools Are Reshaping AI Policies: Device Bans and New Tech Curricula

    How US Law Schools Are Reshaping AI Policies: Device Bans and New Tech Curricula

    US law schools are adopting markedly different approaches to artificial intelligence as they endeavor to marry traditional legal pedagogy with a technology that is rapidly transforming the profession.

    Some students returning to campus this fall have found laptops and phones banned from classrooms, while others are required to use AI in select courses. Over the summer, at least a dozen law schools introduced new or revised AI policies, covering permissible use of the technology and, in several cases, requiring course work in AI.

    Schools Rethink Classroom Technology

    The University of Georgia instituted an ‘analog classroom’ policy in August, imposing a default ban on devices during class. Students also must complete at least one AI-related technology course. Law dean Usha Rodrigues explained that the policy partly stemmed from instances of students consulting AI during traditional cold-calling exercises. “The Socratic method focuses on thinking on the spot, listening to colleagues and evaluating their answers critically,” she said.

    The University of Chicago Law School became the first in July to ban laptops and phones in required first-year classes. The school states the policy aims to ensure students learn to think critically, strategically, and independently before using AI tools later in their studies.

    Berkeley Takes Restrictive Approach

    The University of California, Berkeley School of Law introduced a restrictive AI policy in May. Students are prohibited from using AI to brainstorm paper topics, summarize legal rules for papers, correct grammatical mistakes, or identify repetitive passages. The school also offers several AI courses. Its student-run AI at Berkeley Law club told Reuters that the default rules could conflict with the school’s technology focus. The group argued that legal education should teach students to differentiate between outsourcing legal reasoning and using AI within a legal workflow. Professor Colleen Chien, a member of Berkeley Law’s AI Leadership Committee, said faculty may depart from the default policy when it supports their teaching and learning goals.

    Columbia, Michigan Take Different Paths

    Columbia Law School’s August policy permits AI for testing arguments, seeking criticism, exploring alternative wording, and correcting spelling and grammar. However, written work must remain student-generated and reflect the student’s own intellectual creativity and judgment.

    The University of Michigan allows AI for brainstorming and researching papers but prohibits its use for drafting, editing, or revising work.

    The debate comes as law firms increasingly incorporate AI into legal practice. University of Texas law dean Bobby Chesney said employers now expect graduates to possess basic AI familiarity. For law schools, the challenge extends beyond technology. Lawyers face professional and ethical competency obligations, along with confidentiality requirements that affect how AI can be used.

  • U.S. Universities Face Land Pressure as AI Data Center Demand Surges

    U.S. Universities Face Land Pressure as AI Data Center Demand Surges

    The rapid expansion of artificial intelligence is creating an unexpected challenge for American universities: soaring demand for large properties that can support energy-intensive data centers. Institutions that once reserved sprawling campuses for classrooms and research labs now find themselves competing with tech giants for the same real estate.

    George Washington University’s recent sale of its Virginia Science and Technology Campus to Amazon Data Services for $427 million exemplifies this trend. The 120-acre property in Ashburn, Virginia, lies in Loudoun County, the heart of Northern Virginia’s “Data Center Alley.” The university announced the sale in February without initially naming the buyer or disclosing the price, citing confidentiality. Amazon was later confirmed as the purchaser.

    GW stated the transaction would strengthen its long-term finances. It can continue using the campus for up to five years while relocating programs and offices. A substantial portion of the proceeds will fund a new endowment, and eligible faculty will receive one-time payments: $2,500 for full-time benefits-eligible staff and $1,250 for part-time faculty.

    Former GW professor Ellen Scully-Russ, who taught at the Virginia campus from 2009, described the property as struggling to become a central part of the university’s strategy. She noted a gradual reduction in resources, including unfilled faculty positions and eliminated teaching assistant roles due to budget constraints. Faculty and students were not informed about sale discussions in advance. “There was no transparency,” she told Fortune. She also questioned the long-term viability of large AI infrastructure projects, calling the trend potentially “a short-term bubble.”

    The University of Michigan is taking a different approach with a planned $1.25 billion high-performance computing and research center in Ypsilanti Township. Developed in partnership with Los Alamos National Laboratory, the facility will support research in medicine, materials science, clean energy, engineering, and national security. It is expected to require about 50 megawatts of power initially, eventually reaching 100 megawatts. However, local residents and officials oppose the project, and the Ypsilanti Township Board of Trustees unanimously passed a resolution against it.

    As AI continues to drive demand for data center infrastructure, universities must navigate the tension between preserving academic land and capitalizing on lucrative real estate opportunities. The outcome will shape the future of both higher education and the AI industry.