The Arts Section hosted a reprise presentation of the only art-focused session at the ACRL 2023 Conference in Pittsburgh, No Thoughts, Just Vibes?: Interrogating Algorithms through Visual Art and Information Literacy. The impact of AI on both art and education is a hot topic, and this session thoughtfully addressed the issue and provided inspiration for art librarians on how to engage with this evolving technology.
Panelists:
- Stephanie Grimm | Art and Art History Librarian, George Mason University
- Maggie Murphy | Art & Design Librarian, UNC Greensboro
- Mackenzie Salisbury | Information Literacy Librarian, School of the Art Institute of Chicago
- Mimosa Shah | Associate Curator, Schlesinger Library, Harvard Radcliffe Institute
Session Description:
“Building on the work of contemporary artists who use creative practice to surface and disrupt the influence of algorithms in society, we seek to introduce friction into students’ algorithmic experience, highlighting where algorithms intersect with bias, visibility, privacy, serendipity, inspiration, and authorship in our information literacy pedagogy. In this moderated panel, we will discuss some key questions, including: How can students engage creatively with algorithmic environments while maintaining a critical focus? In what ways does art allow us to reframe and rethink our use of technology?”
Originally presented on March 18, 2023
Reprise webinar on March 29, 2023
Session Recording:
Slides & Notes
Download a copy of the session slides with notes: No Thoughts, Just Vibes?: Interrogating Algorithms through Visual Art and Information Literacy – Slides
Bibliography
- Joseph Auon, Robot-Proof: Higher Education in the Age of Artificial Intelligence, MIT, 2018.
- Joy Buolamwini, “How I’m Fighting Bias in Algorithms,” TED, March 2017.
- Ted Chiang, “ChatGPT is a Blurry JPEG of the Web,” New Yorker, February 9, 2023.
- Andrew M. Cox and Suvodeep Mazumdar, “Defining Artificial Intelligence for Librarians,” Journal of Librarianship and Information Science, 2022: 1-11.
- Sarah Frost, Manu Matthew Thomas, and Angus G. Forbes, “Art I Don’t Like: An Anti-Recommender System for Visual Art,” MW19 Conference, April 2019.
- Nora Khan, “Seeing, Naming, Knowing,” Brooklyn Rail, March 2019.
- Jason Edward Lewis, Noelani Arista, Archer Pechawis, and Suzanne Kite, “Making Kin with the Machines,” Journal of Design and Science, 2019, 1-16.
- Madeleine Marcella-Hood and Rita Marcella, “Purposive and Non-Purposive Information Behavior on Instagram,” Journal of Librarianship and Information Science, 2022: 1-24.
- Safiya Umoja Noble, Algorithms of Oppression: How Search Engines Reinforce Racism, NYU Press, 2018.
- Sari Shryack, “Artists and the Algorithm,” Not Sorry Art, n.d.
- Tom White, “Perception Engines”, Medium, April 4, 2018.
- Martin Zeilinger, “The Politics of Visual Indeterminacy in Abstract AI Art,” Leonardo 56, no. 1, 2023: 76-80
People, Projects & Resources
- n!ck briz, https://nickbriz.com/
- Sonja Drimmer, https://www.umass.edu/arthistory/member/sonja-drimmer
- Ben Grosser, https://bengrosser.com/projects/not-for-you/
- Suzanne Kite, https://www.bard.edu/faculty/details/?id=5046
- Mimi Onuoha, https://mimionuoha.com
- DALL·E 2 (OpenAI Systems), https://openai.com/product/dall-e-2
- Midjourney, https://www.midjourney.com/
- Same Energy, https://same.energy