weekend ai reads for 2023-04-07

🏗️ FOUNDATIONS

• The hard work of change, hype cycles and why LLMs aren’t a quick fix Jason Kitcat, Director of Digital, Data and Technology at the UK’s Department for Business and Trade

• Looking for an AI landscape, this seemed to do the job [PDF]. Supplementing that was this "Ethical AI Startup Landscape"; interesting for the taxonomy they use; the actual list is probably changing minute-by-minute. Matt Turck, Ethicl AI Database

• Society's Technical Debt and Software's Gutenberg Moment SK Ventures, Substack

🎓 EDUCATION and AI

• via Dale: Simon Buckingham Shum's thoughts on generative AI in ed are definitely worth a read.

• “ChatGPT Magnifies a Long-Standing Problem” Inside Higher Ed

  • spoiler: it's cheating, by Frank Vahid, professor of computer science and engineering at the University of California, Riverside

📊 DATA & TECHNOLOGY

• AI Safety: A Technical & Ethnographic Overview Jon Stokes

  • Despite the dry title, this is the spiciest thing we have published in this newsletter. Have a glass of milk handy when you read it.

• AI ‘fairness’ research held back by lack of diversity Nature

  • Authors of papers on the potential biases of artificial intelligence tools in health care are predominantly white, male and from high-income countries

🎉 FUN and/or PRACTICAL THINGS

• How we built it: Stripe Radar, Stripe's fraud prevention solution using machine learning Stripe

• 400 product discovery questions Maze Design, Notion

  • Includes: sample responses, links to related/supportive materials, and you can filter by tag and scenario.

• "meet uncle rabbit—the first conversational holographic ai being powered by ChatGPT" (Twitter, sorry)