Module 12 Readings

• 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

• Be Careful What You Tell Your AI Chatbot

• University of Kentucky: What to know about AI safety and Microsoft Copilot at UK

• Anthropic: Tracing the thoughts of a large language model

• OpenAI: Why language models hallucinate

• The Promethean Dilemma of AI at the Intersection of Hallucination and Creativity

• New study warns of risks in AI chatbots giving medical advice

• Anthropic Wins on Fair Use for Training its LLMs; Loses on Building a “Central Library” of Pirated Books

• Authors Guild on AI

• Transparency in AI is on the Decline

• Artificial intelligence algorithm bias in information retrieval systems and its implication for library and information science professionals: A scoping review

• How We Analyzed the COMPAS Recidivism Algorithm, also see the dataset

• AI deskilling is a structural problem

• The AI Deskilling Paradox

• AI’s impacts on early career software engineers

• AI is Coming for Your Job. Now What? | Vlad Tenev | TED

• 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

• Uncovering inequalities in new knowledge learning by large language models across different languages

• Nearly all Seoul students use generative AI

• Mind the (Language) Gap: Mapping the Challenges of LLM Development in Low-Resource Language Contexts

• Rise of Concerns About AI: Reflections and Directions

• On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?

• Teaching AI Ethics by Leon Furze