The rise of artificial intelligence, popularly known as AI, hinges on one crucial element: data. But as data fuels innovation, concerns around data privacy and security in the world of data annotation for AI become paramount. Sensitive information often flows through undetected while annotating data, raising ethical and legal challenges that demand careful consideration. This article delves […]
Data labeling can be categorized into two different approaches: one is the automated approach, where machine learning models and AI take care of the complete labeling of data, and the other is the manual approach. Now, the manual method includes direct interference of humans to ensure accurate delivery of data and sources. This is how the human-in-the-loop[…]