Interests
- Responsible AI: How can we ensure LLMs and other language technology is safe, fair, equitable, and sustainable? I'm particularly interested in issues surrounding safety, accessibility, and societal/environmental impacts.
- Machine-generated text detection: Can we detect when and where machines have generated text? What about when they've assisted a human, or used for only small parts? This is critical in areas like education, security, and social media, and getting harder all the time.
- Computational creativity: How do machines process creative language? Can we detect it? Can we generate it? Metaphors, metonymy, sarcasm, humor, and more all pose significant challenges even to state-of-the-art systems.
- Crisis Informatics: How do we best make of use of the massive amount of data created during crisis events (including natural disasters like hurricanes, terrorist events/wars, and pandemics like COVID-19)? Social media can help, but applying NLP can be challenging due to privacy, safety, and quality concerns.
- NLP for Social Good: Relatedly, how can we leverage the vast amount of power AI has to improve people's lives in concrete ways? How do we deal with ethical issues, problems of inclusivity, and systematic bias in data, systems, and researchers?
- Language: My background is originally in linguistics - I'm always interested in studying linguistic problems, particularly in semantics and pragmatics. Other areas of interest include construction grammar, frame semantics, and creative language.
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