This chapter covers
- Controversial and timely discussions around AI
- Copyright disputes regarding training data
- The economics of AI
- Exaggeration about AI’s performance and advancements
- AI regulation
- Consumption of resources, such as electricity and water, to train and use AI models
- The philosophical debate around AI, biological brains, and consciousness
This chapter addresses some of the bigger questions around AI. It also reveals a less flattering AI side—how the field often suffers from exaggeration, speculation, and even deception. I think it’s important to be informed about these topics, so you can analyze AI announcements and discussions critically. In addition, if you’re building AI-based products or using AI intensively, you may want to be aware of the broader effects and potential controversies that could arise from your work.