{"id":19,"date":"2025-03-14T23:10:23","date_gmt":"2025-03-14T23:10:23","guid":{"rendered":"https:\/\/miriamposner.com\/classes\/dh187s25\/?page_id=19"},"modified":"2026-04-16T07:31:04","modified_gmt":"2026-04-16T14:31:04","slug":"w3","status":"publish","type":"page","link":"https:\/\/miriamposner.com\/classes\/dh150s26\/wbw\/w3\/","title":{"rendered":"Week Three"},"content":{"rendered":"\n

Skip to Thursday<\/a><\/em><\/p>\n\n\n\n

Tuesday<\/h2>\n\n\n\n

What is Machine Learning?<\/h3>\n\n\n\n
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“LLMs are not search engines looking up facts; they are pattern-spotting engines that guess the next best option in a sequence.”<\/p>\nFinancial Times,<\/em> “Generative AI Exists Because of the Transformer”<\/cite><\/blockquote>\n\n\n\n

Madhumita Murgia, \u201cGenerative AI Exists Because of the Transformer,\u201d Financial Times, September 12, 2023, https:\/\/ig.ft.com\/generative-ai\/<\/a>.<\/p>\n\n\n\n

Burkhardt, Sarah, and Bernhard Rieder. \u201cFoundation Models Are Platform Models: Prompting and the Political Economy of AI.\u201d Big Data & Society<\/em> 11, no. 2 (2024): 20539517241247839.<\/p>\n\n\n\n

Take the group formation quiz<\/a><\/p>\n\n\n\n

Additional Materials<\/h3>\n\n\n\n

Cedric Sam et al., \u201cA Guide to the Circular Deals Underpinning the AI Boom,\u201d<\/a> Bloomberg Technology<\/em>, March 11, 2026. (This is a gift link but unfortunately you have to enter your email address to proceed.)<\/p>\n\n\n\n

Hendrix, Justin. \u201cIs an Anti-Fascist Approach to Artificial Intelligence Possible?\u201d Tech Policy Press<\/em>, March 23, 2025. https:\/\/techpolicy.press\/is-an-antifascist-approach-to-artificial-intelligence-possible<\/a>.<\/p>\n\n\n\n

Diyar Sara\u00e7oglu, \u201cThaura.Ai: An AI Model against Big Tech Domination,\u201d Bianet, December 26, 2025, https:\/\/bianet.org\/haber\/thaura-ai-an-ai-model-against-big-tech-domination-314891<\/a>.<\/p>\n\n\n\n

Today’s activities<\/h3>\n\n\n\n

Today’s interactive slides<\/a><\/p>\n\n\n\n

Thursday<\/h2>\n\n\n\n

The Politics of ML<\/h3>\n\n\n\n
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“What is at stake for politics itself to be rendered a problem of the design of a
model, when every political problem is arranged as a machine learning problem?”<\/p>\nLouise Amoore, Machine Learning Political Orders<\/cite><\/blockquote>\n\n\n\n

Louise Amoore, \u201cMachine Learning Political Orders,\u201d Review of
International Studies 49, no. 1 (2023): 20\u201336.<\/p>\n\n\n\n

Yeshimabeit Milner and Amy Traub, Data Capitalism and Algorithmic Racism<\/em> (Demos, 2021), https:\/\/www.demos.org\/research\/data-capitalism-and-algorithmic-racism<\/a>.<\/p>\n\n\n\n

Today’s activities<\/h3>\n\n\n\n

Today’s slides<\/a><\/p>\n\n\n\n

Annotation bank<\/a> (for solo annotation assignment)<\/p>\n\n\n\n