Workshop Readings + Schedule
Week 0: Pre-Introduction
- In Class: Pew Internet and Democracy 2020 Report, “Many Tech Experts Say Digital Disruption Will Hurt Democracy.”
- Michel-Rolph Trouillot. Silencing the Past: Power and the Production of History, 20th Anniversary Edition. New York: Beacon Press, 2015. Ch. 1-4
- Michel Foucault, “ Nietzsche, Genealogy, History” (1977) https://noehernandezcortez.files.wordpress.com/2011/04/nietzsche-genealogy-history.pdf
- Cathy O’Neill: Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy, 2016. Introduction and Ch. 1.
- Week 1 - Genealogy, Archives, + Politics of Narrating the Past / Future -- JAMBOARD: https://jamboard.google.com/d/1YpDSnVtJVYmQSAHIxlD66bOiBpofGk1WofO7SV1rFg0/viewer?f=0
Week 2 -- Infrastructuras y Processando los Pasados/los Futuros // Infrastructures and Processing the Past/Future
- DUE WEEK 2 - Assignment: Reading Question: Compose 1 Question (minimum) that emerged for you after reading the 3 assigned readings.
- Star, Susan Leigh. The Ethnography of Infrastructure. American Behavioral Scientist. 1999;43(3):377-391.
- Shoshana Zuboff, The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power, 2019. Skim: Intro and Conclusion, Read: Ch. 3, 6, 10, 13.
- Cathy O’Neill: Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy, 2016. Chap. 5, Conclusion.
- BiblioRed Articles:
- https://coleccionbogota.biblored.gov.co/exhibits/show/patrimonio-memoria
- Reconstrucción de la experiencia de fotomapping en La Peña. Reconocimientos
- Las bibliotecas como escenarios de gestión de la memoria local en Bogotá: el caso de los laboratorios de co-creación y la Biblioteca Digital de Bogotá en la Red de Bibliotecas Públicas de Bogotá (2016 - 2021)
- OPTIONAL: AI Now, Annual Report, 2019. pp. 5-60
Week 3 -- Infrastructuras Alternativas / Infrastrucutres Otherwise
- DUE WEEK 3 - Assignment: Reading Question: Compose 1 Question (minimum) that emerged for you after reading the 3 assigned readings. + Object/Case Study Prompt - Mythical/Narrative Dimensions (due Class of Week 3)
- Ruha Benjamin, Race after Technology: Abolitionist Tools for the New Jim Code, 2019. Introduction, Chapters 4 + 5.
- Catherine D’Ignazio and Lauren Klein, Data Feminism, 2019. Chapter 1: The Power Chapter and Chapter 2: Collect, Analyze, Imagine, Teach.
- Donna Haraway, Situated Knowledges: The Science Question in Feminism and the Privilege of Partial Perspective," Feminist Studies Vol. 14, No. 3 (Autumn, 1988).
- CLASS EXERCISE: Questions for Week 1 and 2: https://padlet.com/anitasaychan1/Bookmarks
- CLASS EXERCISE: Questions for Week 3: https://padlet.com/anitasaychan1/cf8fp30xrav9teiz
- CLASS EXERCISE: Mapenando Objectos de Historia y Genealogia: https://docs.google.com/document/d/1zZmXvlhJjyvzFbn15DKQBis_4M0-kxH3Lwv5Q8qWpBk/edit
TO BE CONTINUED:
Week 4: Seeing AI Labs
- Melanie Mitchell: AI: A Guide for Thinking Humans, 2019. Ch. 3-7
- Broussard, Meredith. Artificial Unintelligence How Computers Misunderstand the World. MIT Press, 2018. Ch. 6.
- Assignment: Reading Reaction + Object/Case Study Prompt - Professional/Epistemological Dimensions (due 9/8)
- In-class document: Anatomy of an AI System: The Amazon Echo as an anatomical map of human labor, data and planetary resources, by Kate Crawford and Vladan Joler (2018).
- Ronald Kline: The Cybernetics Moment: Or Why We Call Our Age the Information Age, 2015. Read: Chapters 3, 6, 8. Skim: Chapter 9.
- Robert K. Merton. “The Normative Structure of Science,” The Sociology of Science, University of Chicago Press (1973). Ch. 13.
- Shoshana Zuboff, The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power, 2019. Skim: Intro and Conclusion, Read: Ch. 3, 6, 10, 13.
- Michel Foucault, Panopticonism, in Discipline and Punish: The Birth of the Prison, 1975. pp. 195-228.
Week 7: AI Engines: Big Data Labs
- Bruno Latour, “Chapter 6: Centers of Calculation,” in Science in Action, 1987. pp. 235-280.
- danah boyd & Kate Crawford, “Critical Questions for Big Data,” in Information, Communication & Society Publication, 2012.
- Cathy O’Neill: Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy, 2016. Chap. 5, Conclusion.
- Skim: Joy Buolamwini, Vicente Ordóñez, Jamie Morgenstern, and Erik Learned-Miller, “Facial Recognition Technologies: A Primer,” A report of the Algorithmic Justice League, 2020.
Optional:
- Erik Learned-Miller, Vicente Ordóñez, Jamie Morgenstern, and Joy Buolamwini, “Facial Recognition Technologies in the Wild: A Call for a Federal Office,” A report of the Algorithmic Justice League, 2020.
- Rashida Richardson, Jason M. Schultz, Vincent M. Southerland, “Litigating Algorithms 2019 US Report: New Challenges to Government Use of Algorithmic Decision Systems,” 2019.
- AI Now, Algorithmic Accountability Policy Toolkit, 2018.
- Jonathan Taplin, Move Fast and Break Things: How Facebook, Google, and Amazon Cornered Culture and Undermined Democracy, 2017. Selections.
Week 8: AI + Labor
- Lilly Irani & M. Six Silberman, “Stories We Tell About Labor: Turkopticon and the Trouble with ‘Design’”
- Mary Gray & Siddharth Suri, Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass, 2019. Intro: Ghost in the Machine + Ch. 1: Humans in the Loop (pp. 7-59).
- Karen Levy, “The Contexts of Control: Information, Power, and Truck Driving Work,” The Information Society 31 (2015): 160–174.
- Sareeta Amrute, Bored Techies Being Casually Racist: Race as Algorithm, Science, Technology, & Human Values 2020, Vol. 45(5), pp. 903-933.