Connecting the Dots 🧩 Revised Models and Machines 🤖

Class Activities

• Benjamin Schmidt, “Do Digital Humanists Need to Understand Algorithms?,”Debates in the Digital Humanities 2016 http://dhdebates.gc.cuny.edu/debates/text/99 Moved to additional readings
• Ted Underwood “Why and Age of Machine Learning Needs the Humanities” Public Books https://www.publicbooks.org/why-an-age-of-machine-learning-needs-the-humanities/
• Maciej Cegłowski. “Deep Fried Data” Idle Words. September 27, 2016. https://idlewords.com/talks/deep_fried_data.htm
• Laura B. McGrath “Charisma (Embodiment): a Response to Tess McNulty” https://post45.org/2019/05/charisma-embodiment-a-response-to-tess-mcnulty/
• Explore AI Dungeon https://play.aidungeon.io/
• Review Introduction to EDA

Additional Materials

• Benjamin Schmidt, “Do Digital Humanists Need to Understand Algorithms?,”Debates in the Digital Humanities 2016 http://dhdebates.gc.cuny.edu/debates/text/99
• Tressie McMillon Cottom “More Scale, More Questions: Observations from Sociology” https://dhdebates.gc.cuny.edu/read/untitled/section/55e48b34-543a-41f7-97c9-8c8643bf8844
• Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021. On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜 In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT ‘21). Association for Computing Machinery, New York, NY, USA, 610–623. DOI:https://doi.org/10.1145/3442188.3445922
• Rebecca Sutton Koeser (2015) Trusting Others to ‘Do the Math’, Interdisciplinary Science Reviews, 40:4, 376-392, DOI: 10.1080/03080188.2016.1165454
• Safiya Umoja Noble, Algorithms of Oppression: How Search Engines Reinforce Racism, Chapter 1: A Society, Searching, Chapter 5: The Future of Knowledge in the Public, and Conclusion