Thanks for attending my talk. Here you will find the links that used during my session, as well as links to original sources for the data and information I presented.

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Level Setting

Machine Learning

• How to Train your phone to recognize objects→

  Train an AI (~ 1-2 hours)

• Another exercise in Machine Learning (doesn’t work on phones): https://teachablemachine.withgoogle.com/

• Draw a Fish

• https://stanfordmlgroup.github.io/projects/chexnet/

• https://healthexec.com/topics/artificial-intelligence/fda-has-cleared-more-1200-clinical-ais-and-submissions-are-increasing

Large Language Models

• https://ig.ft.com/generative-ai/
• https://profc.substack.com/p/using-your-ai-calculator

https://en.wikipedia.org/wiki/General-purpose_technology

AI Productivity Paradox

• Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
• https://gizmodo.com/bank-fires-workers-in-favor-of-ai-chatbot-rehires-them-after-chatbot-is-terrible-at-the-job-2000646573
• https://www.benzinga.com/news/25/05/45484749/after-firing-700-humans-for-ai-klarna-now-wants-them-back-tons-of-klarna-users-would-enjoy-working-for-us-says-ceo
• from MIT: The GenAI Divide STATE OF AI IN BUSINESS 2025