As AI automates more jobs, workers must adapt. Discover how industries like healthcare, manufacturing, and retail are evolving with AI.

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Books & Articles

1. "The Second Machine Age" by Erik Brynjolfsson and Andrew McAfee This book discusses the rise of digital technologies, including AI and automation, and their impact on work, society, and the economy.
2. "AI Superpowers: China, Silicon Valley, and the New World Order" by Kai-Fu Lee Lee explores the global implications of AI, with a focus on China and the U.S., and provides insights into how AI could reshape industries and labor markets.
3. "Rise of the Robots: Technology and the Threat of a Jobless Future" by Martin Ford Ford explores how robots and AI will impact the future of work, focusing on the potential for mass unemployment and the need for new societal models.
4. "Automation and the Future of Work" (Harvard Business Review article) This article provides insights into how automation is impacting various sectors and discusses strategies for preparing the workforce for these changes.
5. "The Age of Em: Work, Love, and Life when Robots Rule the Earth" by Robin Hanson Hanson looks at a future where AI and automation could fundamentally change how humans live and work, examining potential consequences and opportunities.

Reports & Whitepapers

1. McKinsey & Company - "The Future of Work: Reskilling and Retraining" McKinsey’s research outlines how workers can be reskilled for the changing landscape of work, especially with AI and automation replacing certain tasks. Read McKinsey's report here
2. The World Economic Forum - "The Future of Jobs Report" A comprehensive report on how AI and automation will reshape job markets across industries, and the skills needed to adapt. Read the World Economic Forum's report
3. OECD - "The Impact of Artificial Intelligence on the Labour Market" This report looks at AI’s impact on jobs across different sectors and provides insights on how countries can support their workers. OECD report on AI and jobs
4. Brookings Institution - "AI, Automation, and the Future of Work" Brookings offers an analysis of how AI and automation are changing employment patterns, with recommendations for workers and policymakers. Read Brookings' report here

Online Resources & Websites

1. MIT Technology Review - AI & Automation Section MIT's Technology Review provides a wealth of articles and resources on how AI and automation are transforming industries and jobs. Visit MIT Technology Review
2. The AI Alignment Forum This site features discussions and research on AI, focusing on safe and ethical AI development, and its impact on the economy and jobs. Explore the AI Alignment Forum
3. AI Now Institute An interdisciplinary research institute dedicated to studying the social implications of artificial intelligence, including job displacement and ethical concerns. Visit AI Now Institute

You’re already using AI—every time you unlock your phone, stream music, or shop online. In Episode 2 of The Human Guide to AI, we reveal how artificial intelligence is quietly woven into your everyday life (and even write a toaster love song). Discover the tech behind your day.

Key Terms & Concepts Covered

• Computer Vision – AI that interprets and understands visual input (e.g., Face ID, Google Photos)
• Natural Language Processing (NLP) – How machines understand and generate human language (e.g., Gmail Smart Compose)
• Recommendation Algorithms – Used in Netflix, Spotify, Amazon to suggest content/products based on your behavior
• Generative AI – AI that creates content: text, images, music, video (e.g., ChatGPT, DALL·E, Suno)
• Machine Learning – Algorithms that learn from data and improve over time
• Collaborative Filtering – Technique for making personalized recommendations based on similar users
• Dynamic Pricing – AI-driven pricing that adjusts based on demand, behavior, or location
• Predictive Analytics – AI that forecasts future behavior based on data patterns
• Style Transfer – AI technique that applies one artistic style to another image or medium

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