Adam Tauman Kalai is an American computer scientist who specializes in machine learning and works at OpenAI[1][2].

Kalai graduated from Harvard University in 1996 and received a PhD from Carnegie Mellon University in 2001, where he worked under doctoral advisor Avrim Blum.

He joined Microsoft Research in 2008[3][4] and subsequently moved to OpenAI in 2023.

[1][2] Kalai is known for his algorithm for generating random factored numbers (see Bach's algorithm), for efficiently learning learning mixtures of Gaussians, for the Blum-Kalai-Wasserman algorithm for learning parity with noise, and for the intractability of the folk theorem in game theory.

More recently, Kalai is known for identifying and reducing gender bias in word embeddings, which are a representation of words commonly used in AI systems[4][5] and for his work on hallucinations in large language models.