Readings
For this module, choose one or more materials directly related to the module’s topic. You may select materials from the course reading list or use relevant materials found elsewhere.
As a general guide, read one or more articles or other written materials totaling approximately 10,000–12,000 words, listen to or watch at least 90 minutes of podcasts or videos, or complete a comparable combination of written and audiovisual materials. You may engage with additional materials.
Please submit all graded work via Canvas. Participation requirements and grading details are provided in Canvas.
Suggested Materials
Business Insider: Exposing The Dark Side of America’s AI Data Center Explosion
Sims Witherspoon: Can AI Help Solve the Climate Crisis?
Pew Research: What we know about energy use at U.S. data centers amid the AI boom
Your Personal Information Is Probably Being Used to Train Generative AI Models
University of Kentucky: What to know about AI safety and Microsoft Copilot at UK
The Promethean Dilemma of AI at the Intersection of Hallucination and Creativity
New study warns of risks in AI chatbots giving medical advice
How We Analyzed the COMPAS Recidivism Algorithm, also see the dataset
Harvard Business School: Displacement or Complementarity? The Labor Market Impact of Generative AI
National Bureau of Economic Research: Artificial Intelligence and the Labor Market
Anthropic: Labor market impacts of AI: A new measure and early evidence
Mind the (Language) Gap: Mapping the Challenges of LLM Development in Low-Resource Language Contexts
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?