(Perplexity) “AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference” by Arvind Narayanan and Sayash Kapoor is a comprehensive examination of AI’s capabilities, limitations, and potential misuse. The authors aim to empower readers to distinguish between effective AI applications and “snake oil” – AI that doesn’t work as advertised.
Key points of the book include:
- Predictive AI often fails to deliver on its promises, especially in areas like predicting human behavior, academic success, crime likelihood, or civil wars.
- Generative AI, like ChatGPT, has valuable applications but also limitations. It can produce convincing-sounding content on any topic, but lacks a true source of truth and may generate misinformation.
- AI cannot effectively solve complex social issues, such as content moderation on social media platforms, due to the nuanced nature of human communication and values[.
- The authors argue that we should be more concerned about how people use AI rather than AI acting autonomously.
- The book highlights the need for better regulation of the AI industry and cautions against leaving AI’s future solely in the hands of tech companies.
- While critical of many AI applications, the authors remain optimistic about the future of generative AI and its potential benefits when used appropriately.
- The book provides guidance on how to spot AI hype and make informed decisions about AI-based products and services.
Overall, “AI Snake Oil” serves as a balanced examination of AI’s current state, debunking myths while acknowledging genuine progress, and emphasizing the importance of critical thinking in the face of AI hype.
Citations:
[1] https://www.goodreads.com/book/show/210319458-ai-snake-oil
[2] https://www.sciencenews.org/article/ai-snake-oil-how-to-spot-hype
[3] https://erictopol.substack.com/p/ai-snake-oila-new-book-by-2-princeton
[4] https://www.aisnakeoil.com/p/introducing-the-ai-snake-oil-book
[5] https://www.techpolicy.press/ai-snake-oil-separating-hype-from-reality/