Physics Research in the Age of Artificial Intelligence and the Challenges Faced
Sarah Demers, chair of the physics department at Yale University, evaluates the advantages and disadvantages of artificial intelligence technologies in physics research.
Sarah Demers, chair of the physics department at Yale University, examines the positive and negative impacts of large language models and artificial intelligence on physics research, drawing attention to current debates in the scientific world.
The Role of Artificial Intelligence in Physics Research
Sarah Demers, chair of the physics department at Yale University, states that artificial intelligence tools can both contribute to and harm the field of physics.
Having drafted a policy statement on the use of artificial intelligence within the American Physical Society, Demers closely monitors the opportunities offered by the technology.
A New Era in Experiments and Data Analysis
The U.S. Department of Energy selected hundreds of projects to fund in July 2026 in order to integrate artificial intelligence into scientific processes.
At the Fermi National Accelerator Laboratory's Mu2e experiment, artificial intelligence is planned to be utilized to investigate the conversion of a muon into an electron.
Speed and Optimization Advantages
Artificial intelligence assistants accelerate data analysis processes, enabling legacy data systems to be reused and undergraduate students to adapt to the process more quickly.
Intellectual Property and Ethical Concerns
The training of popular language models on datasets containing intellectual property without providing sources is seen as a serious ethical problem in the scientific field regarding copyright and citation.
Risks for Early-Career Researchers
While senior researchers can use artificial intelligence as a thought partner, this situation holds certain professional development risks for early-career researchers and students.