TED: Why AI needs a "nutrition label" | Kasia Chmielinski

The video uses a sandwich analogy to explain the challenges of AI systems, highlighting issues with data transparency and quality. It discusses the Data Nutrition Project, which aims to improve data transparency through labeling. The speaker emphasizes the need for AI regulation and cultural shifts, especially with the rise of generative AI. Three principles are proposed to enhance AI accountability: transparency in data gathering, clear intentions for data use, and disclosure of data used in AI training.

What does the speaker mean by 'the Wild West of data'?

How does the speaker relate the concept of food safety to data quality?

Why does the speaker believe that regulation is necessary for AI and data usage?

What are some of the potential risks associated with generative AI as mentioned by the speaker?