Scholarly Communication: “Why Nature Will Not Allow the Use of Generative AI in Images and Video”
From a Nature Editorial:
Why are we disallowing the use of generative AI in visual content? Ultimately, it is a question of integrity. The process of publishing — as far as both science and art are concerned — is underpinned by a shared commitment to integrity. That includes transparency. As researchers, editors and publishers, we all need to know the sources of data and images, so that these can be verified as accurate and true. Existing generative AI tools do not provide access to their sources so that such verification can happen.
Then there’s attribution: when existing work is used or cited, it must be attributed. This is a core principle of science and art, and generative AI tools do not conform to this expectation.
Consent and permission are also factors. These must be obtained if, for example, people are being identified or the intellectual property of artists and illustrators is involved. Again, common applications of generative AI fail these tests.
About Gary Price
Gary Price (firstname.lastname@example.org) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com.