In our "Humans in the AI Loop" event series, we hosted a conversation on the essential role of human intelligence in building better AI, exploring how expert feedback and responsibly sourced human data power safer, more reliable models.

The discussion, moderated by Mark Esposito, PhD (Chief Economist at micro1), featured Ryan Charnov (MBA Wharton & micro1 Expert) and Shahab Mousavi, PhD (Stanford University & micro1 Expert).

Together, the speakers examined why human expertise remains central to AI progress, from refining model alignment through expert feedback to embedding human judgment in high-stakes training loops. They discussed how human data can be sourced, vetted, and applied responsibly, ensuring both quality and ethical integrity. The session also highlighted how humans and machines together create more accurate, safe, and impactful systems.