Location

Stephen F Austin State University, Baker Pattillo Student Center Theatre

Start Date

9-4-2024 4:00 PM

End Date

9-4-2024 7:00 PM

Description

Artificial intelligence has sparked a new-age debate about its ethical implications, specifically in the world of art. The Signature Neural Operative- Environment (SNO-E) is a multidisciplinary solution that draws on computer science, statistics, and art. It addresses the issue of proper attribution for Al-generated artworks through a Convolution Neural Network that adopts signature checks to cite artists whose works are sampled by Al. This novel approach ensures proper recognition and compensation for artists in the Al-generated era.

Comments

Faculty Sponsor: Paul Shockley (Division of Multidisciplinary Programs)

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Apr 9th, 4:00 PM Apr 9th, 7:00 PM

No Generation Without Representation: Solving AI Art Attribution with SNO-E

Stephen F Austin State University, Baker Pattillo Student Center Theatre

Artificial intelligence has sparked a new-age debate about its ethical implications, specifically in the world of art. The Signature Neural Operative- Environment (SNO-E) is a multidisciplinary solution that draws on computer science, statistics, and art. It addresses the issue of proper attribution for Al-generated artworks through a Convolution Neural Network that adopts signature checks to cite artists whose works are sampled by Al. This novel approach ensures proper recognition and compensation for artists in the Al-generated era.

 

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