Artificial Intelligence isn’t just for data scientists. In Episode 1 of WTF is AI?, we make AI human—with dogs, toddlers, Netflix, and pizza analogies that actually make sense. 🎧 A must-listen for professionals navigating the AI revolution.

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Reference List & Further Reading

General AI Concepts:

• Russell & Norvig. Artificial Intelligence: A Modern Approach
• Stanford’s “AI Index Report” (https://aiindex.stanford.edu)
• Google’s “AI for Anyone” Guide: https://ai.google/education/

On Transformer Models:

• “Attention Is All You Need” (Vaswani et al., 2017)
• OpenAI’s GPT-3 and GPT-4 papers
• Illustrated Transformer Guide by Jay Alammar: https://jalammar.github.io/illustrated-transformer/

Ethics & Society:

• Kate Crawford – Atlas of AI
• Ruha Benjamin – Race After Technology
• Timnit Gebru’s work on algorithmic bias
• AI Now Institute: https://ainowinstitute.org

Accessible AI Tools (Try it Yourself):

• ChatGPT: https://chat.openai.com
• DALL·E: https://openai.com/dall-e
• Google Teachable Machine (for kids/educators): https://teachablemachine.withgoogle.com

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