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Readers of texts created to use the styles of famous authors prefer works written by AI to human-written imitations, but only after developers fine-tune AI models to understand an author’s output. This finding, academics argue, means the courts need to rethink assumptions about allowing AI training on authors' works as a fair use exception to copyright liability.

  • Read more about AI does a better job of ripping off the style of famous authors than MFA students do
Compare MarsGen results with ground truth #1
Compare MarsGen results with ground truth #2
Chenyu You
Visual Comparisons

 

  • Read more about AI Brings Mars to Life: Stony Brook Researchers Reconstruct Physically Accurate Models of the Red Planet
AI3 Researchers Awarded Seed Grants by the Office for Research and Innovation

 

  • Read more about AI3 Researchers Awarded Seed Grants by the Office for Research and Innovation
Exhibit: If We Don't, Who Will?
Exhibit: Data Trust

 

  • Read more about If We Don’t, Who Will? Stephanie Dinkins on Art, AI, and the Stories We Tell Our Machines

Staff Email

lav.varshney@stonybrook.edu

Staff Location

NCS 268 Stony Brook, NY 11794-2424

Position

Director

Telephone

631-632-1818

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Weight

103

Staff Department

AI Innovation Institute

Staff Protected Email

lav.varshney@stonybrook.edu
  • Read more about Lav R. Varshney
  • Read more about Vivian Miranda
  • Read more about Nicholas E. Johnson
  • Read more about Jieshu Wang
  • Read more about Ben Z. Zhang

State University of New York Chancellor John B. King Jr. today announced the inaugural class of SUNY's AI for the Public Good Fellows. The 20 SUNY faculty and staff fellows are experts in their fields of study – ranging from health sciences to sustainable resources management to English.

  • Read more about SUNY Chancellor King Announces Inaugural Class of the SUNY AI for the Public Good Fellows

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251 New Computer Science Building, Stony Brook, NY 11794-2424
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