Curious how well the facial/voice emotion models generalize across
different cultures - expressions of hesitation or excitement aren't
universal, and with 70+ language support and a global panel, I'd want
to see how the emotion AI is calibrated (or re-calibrated) for
different cultural norms around expressiveness, rather than a single
model trained predominantly on one demographic.