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.

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