# Yejin Choi

> Korean American computer science professor and computational linguistics researcher

**Wikidata**: [Q51363202](https://www.wikidata.org/wiki/Q51363202)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Yejin_Choi)  
**Source**: https://4ort.xyz/entity/yejin-choi

## Summary
Yejin Choi is a Korean American computer science professor and computational linguistics researcher known for her pioneering work in artificial intelligence, particularly in natural language processing and commonsense reasoning. She is a MacArthur Fellow (2022) and a leading figure in developing AI models that understand and generate human-like language.

## Biography
- **Nationality**: South Korea
- **Education**:
  - Bachelor's degree, Seoul National University
  - Doctor of Philosophy, Cornell University (advised by Claire Cardie)
- **Known for**: Advancing computational linguistics and AI, particularly in commonsense reasoning and natural language understanding
- **Employer(s)**: University of Washington (Paul G. Allen School of Computer Science & Engineering), Allen Institute for Artificial Intelligence, Stony Brook University
- **Field(s)**: Computational linguistics, artificial intelligence

## Contributions
Yejin Choi has made significant contributions to AI and computational linguistics, focusing on commonsense reasoning and natural language processing. Her work includes developing models that enable machines to understand context, irony, and implicit meanings in human language. Notable projects include:
- **CommonsenseQA (2019)**: A benchmark dataset for evaluating AI's ability to answer questions requiring commonsense knowledge.
- **Delphi (2021)**: An AI model designed to make ethical judgments, demonstrating how machines can reason about moral dilemmas.
- **Research on bias in AI**: Choi has highlighted and addressed biases in language models, advocating for more equitable AI systems.

Her research has been published in top-tier conferences and journals, influencing both academia and industry. She has also mentored numerous PhD students, many of whom have become prominent researchers in AI.

## FAQs
### Q: What is Yejin Choi known for?
A: Yejin Choi is known for her work in computational linguistics and AI, particularly in commonsense reasoning and natural language understanding. She developed benchmarks like CommonsenseQA and models like Delphi.

### Q: Where does Yejin Choi work?
A: She is a professor at the University of Washington's Paul G. Allen School of Computer Science & Engineering and is affiliated with the Allen Institute for Artificial Intelligence.

### Q: What awards has Yejin Choi received?
A: She was awarded the MacArthur Fellowship in 2022 and the Marr Prize in 2013 for her contributions to AI and computational linguistics.

### Q: Who were Yejin Choi's doctoral advisors and students?
A: Her doctoral advisor was Claire Cardie. Her notable doctoral students include Chloé Kiddon, Antoine Bosselut, Eunsol Choi, Hannah Rashkin, and Rowan Zellers.

## Why They Matter
Yejin Choi's work has fundamentally advanced AI's ability to understand and generate human-like language. Her research on commonsense reasoning has addressed critical gaps in AI models, making them more intuitive and context-aware. By developing benchmarks like CommonsenseQA, she has set standards for evaluating AI's understanding of everyday knowledge. Additionally, her advocacy for addressing bias in AI has pushed the field toward more ethical and inclusive practices. Without her contributions, AI systems would lack the depth of understanding necessary for real-world applications, from chatbots to decision-making tools.

## Notable For
- MacArthur Fellow (2022)
- Marr Prize winner (2013)
- Developer of CommonsenseQA and Delphi AI models
- Leading researcher in computational linguistics and AI ethics
- Mentor to prominent AI researchers (e.g., Chloé Kiddon, Eunsol Choi)

## Body
### Early Life and Education
Yejin Choi earned her bachelor's degree from Seoul National University and her PhD from Cornell University, where she was advised by Claire Cardie, a prominent computer scientist.

### Career and Research
Choi is a professor at the University of Washington and a researcher at the Allen Institute for Artificial Intelligence. Her work spans computational linguistics, AI, and natural language processing, with a focus on commonsense reasoning. She has developed influential models and datasets, such as CommonsenseQA (2019) and Delphi (2021), which have become benchmarks in the field.

### Awards and Recognition
Choi received the MacArthur Fellowship in 2022, often called the "genius grant," for her innovative contributions to AI. She was also awarded the Marr Prize in 2013, recognizing her impact on computer vision and AI.

### Mentorship and Influence
Choi has mentored several PhD students who have gone on to become leading researchers, including Chloé Kiddon, Antoine Bosselut, Eunsol Choi, Hannah Rashkin, and Rowan Zellers. Her lab at the University of Washington is a hub for cutting-edge AI research.

### Advocacy and Ethics
Beyond technical contributions, Choi has been vocal about ethical issues in AI, particularly bias in language models. Her work emphasizes the importance of fairness and transparency in AI systems.

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## References

1. [Source](https://www.mitpressjournals.org/journals/coli/editorial)
2. [Source](https://www.jair.org/index.php/jair/about/editorialTeam)
3. WorldCat
4. [Source](https://www.macfound.org/fellows/class-of-2022/yejin-choi)
5. [Source](https://www.thecvf.com/?page_id=413)
6. MusicBrainz
7. [(30) Yejin Choi | LinkedIn](https://www.linkedin.com/in/yejin-choi-0b900b1/)