Artificial intelligence is transforming research in many ways—from generative AI tools that support writing, synthesis and ideation, to predictive AI methods that uncover patterns and forecast outcomes, to emerging agentic AI systems that can assist with more complex, multi-step research tasks.
At Case Western Reserve University, we recognize these technologies have the potential to accelerate discovery, strengthen data analysis, support creative problem-solving, streamline research workflows, and expand access to advanced methods and tools across disciplines. As adoption grows, we’re keeping pace with how AI is reshaping how knowledge is produced, documented and shared while also raising important questions around data privacy, authorship, transparency, oversight and research integrity.
Research with AI in Action
Read how teams are harnessing the power of AI in their work.
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May 25, 2026A crystal Katie Colbaugh helped grow is currently sitting on Mars. It rode there aboard NASA’s Perseverance rover, which touched down on the Red Planet in February 2021 and has been searching for signs of ancient life ever since. IMAGE:… -
April 21, 2026Technique could transform art authentication, detect sophisticated forgeries Case Western Reserve University (CWRU) researchers are using artificial intelligence (AI) and physics at the width of a single hair to peer into the surface of Renaissance paintings, offering new clues about how masterpieces were made—and by whom.Researchers—from the physics and the… -
April 15, 2026Researchers will combine AI, machine learning and genomics With a new $6.2 million, five-year grant from the National Institute on Aging, researchers at Case Western Reserve University will use artificial intelligence (AI) and machine learning to identify possible genetic targets to treat Alzheimer’s disease.The intent, said principal…
Research Policies and Considerations
CWRU researchers are encouraged to stay informed about evolving policies, institutional guidance, and available resources to ensure the responsible and compliant use of AI.
Those using AI tools are expected to follow all applicable federal laws and regulations, as well as university policies and standards related to research ethics and the responsible conduct of research. Because guidance on AI continues to evolve, researchers should consult the most current requirements from the relevant sponsor, publisher, or funding agency before incorporating AI into their work.
Sponsor and Agency Guidance
Researchers should also review sponsor-specific guidance related to AI use in proposal development, peer review, data privacy, confidentiality, research integrity, and disclosure expectations. Current federal guidance includes:
- NIH: Supporting Fairness and Originality in NIH Research Applications
- NIH: Use of Generative Artificial Intelligence Technologies in the NIH Peer Review Process
- NSF: Use of Generative Artificial Intelligence Technology in the Merit Review Process
- NSF: Artificial Intelligence Policy and Strategy
Research Resources
Faculty can refer to the Faculty Handbook and other institutional resources for expectations related to research integrity and compliance, or visit the Office of Research and Technology Management for more information.