Resources
How can—and should—we think about the relationship between storytelling and Generative AI? How do we avoid determinist assumptions that this novel technology will fundamentally undermine the stories we tell—while still acknowledging the unique challenges and opportunities of the current moment? These are some of the questions that animate us, and below are some resources we have found valuable to engage with as we explore them.
Do you have a recommendation to add to this list? Drop a note in our Slack workspace or send us a message!
Perspectives & Press
A.I. excels at making bad art. Can an artist teach it to create something good? [Zachary Small, New York Times]
How Meta and AI companies recruited striking actors to train AI [Eileen Guo, MIT Technology Review]
Press freedom means controlling the language of AI [Mike Ananny & Jake Karr, NiemanLab]
Life during the Russian offensive, illustrated by art and AI [Tanya Lukyanova, Semafor]
How AI reduces the world to stereotypes [Victoria Turk, Rest of World]
This new data poisoning tool lets artists fight back against generative AI [Melissa Heikkilä, MIT Technology Review]
What you need to know about Generative AI’s emerging role in political campaigns [Tom Di Fonzo, Tech Policy Press]
Q&A: A snapshot of how global newsrooms use AI [Sarah Grevy Gotfredsen, Columbia Journalism Review]
Scholarly Literature
Simon, F. M., Altay, S., & Mercier, H. (2023). Misinformation reloaded? Fears about the impact of generative AI on misinformation are overblown. Harvard Kennedy School Misinformation Review, 4(5).
Pedagogical Resources
Syllabi
TBD
Explainers
Generative AI exists because of the transformer [Visual Storytelling Team and Madhumita Murgia, Financial Times]
AI book bans: testing LLMs against the freedom to read [Matteo Cargnelutti & Kristi Mukk, Library Innovation Lab]
How to avoid falling for misinformation, AI images on social media [Heather Kelly, Washington Post]