Avijit Ghosh, PhD
Questioner · DISC type cAvijit Ghosh is a Technical AI Policy Researcher at Hugging Face, bridging the gap between AI research and regulatory policy. His work, focusing on AI safety, algorithmic bias, and evaluation standards, has influenced regulation in New York City. People describe him as having a rare combination of technical and policy domain expertise.
Avijit is a vocal advocate for aligning AI development with genuine human needs, questioning the focus on replacing knowledge workers over solving everyday problems. He is a member of QueerInAI and has spoken at major events like SXSW and the MIT Sloan AI Conference on responsible AI.
He won a Gold Medal for co-creating "Madad, " an SOS app with realtime chat, voice, and location tracking features to help users seek help from people nearby.
Read the full overview →How Avijit shows up
They are more likely than others to negotiate on pricing and terms. While they don't hesitate to ask questions, they are generally risk-averse and tend to be late adopters. They generally do not appreciate an overfriendly approach and prefer to stay to-the-point.
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Calculativeness (C)
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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