Human in Data

A global movement

As AI takes over the world of research, it is critical to ensure that the human is not just in the loop, human is at the center of the future of research.

An entirely new human centric ecosystem fit for the AI age:

"Strong data differentiation and assessment protocols, governance of LLMs data sources, human oversight on model development, provocation and framing by experts centered in lived experiences and context, human editors reviewing the insights - building narratives - and telling the story".

We need to get ahead of these shifts to guarantee the future of research to be led by humans.

Why should we talk about it now?

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