person
Yejin Choi
University of Washington NLP professor; MacArthur fellow
MacArthur 'genius' grant recipient and University of Washington professor whose work on common-sense reasoning in language models has been widely influential.
Profile
expertise
Deep technical
Sustained peer-reviewed contribution to ML, alignment, interpretability, or safety techniques. Could review a frontier paper.
University of Washington / Stanford NLP professor. MacArthur Fellow 2022 for commonsense-reasoning work. Active publisher across NLP and reasoning evaluation.
recognition
Field-leading
Widely known inside the AI and AI-safety community. Appears repeatedly in top venues, podcasts, or governance forums. Not a household name to outsiders.
TED talk 'Why AI is incredibly smart and shockingly stupid' has wide reach. MacArthur and Anita Borg awards.
vintage
Deep-learning rise
Came up post-AlexNet. ImageNet, AlphaGo, transformer paper. DeepMind, Google Brain, FAIR establish the modern lab template.
PhD 2010; UW from 2014. NLP commonsense work matures in the deep-learning era.
Hand-classified. See the board for the criteria and the full grid.
Strategy positions
AI skepticmixed
AGI risk narratives overstated; real harms are mundane and currentArgues frontier LLMs lack robust commonsense reasoning despite impressive surface fluency; common-sense reasoning is under-appreciated as an alignment substrate, and the gap between fluency and understanding has not been closed.
AI is unbelievably smart and shockingly stupid, both at the same time. Until we close the commonsense gap, claims about general intelligence are not yet defensible.
Common-sense reasoning is the unsolved part of AI, and it is the same part where safety is hardest to evaluate.
Closest strategy neighbours
by jaccard overlapOther people whose strategy tags overlap with Yejin Choi's. Overlap is on tag identity, not stance; opposites can show up if they reference the same tags.
Record last updated 2026-04-25.