Lessons learned about benchmarking, adversarial testing, the dangers of over- and under-claiming, and AI alignment.

Transcript: https://web.stanford.edu/class/cs224u/podcast/bowman/

AI and social science, the causal revolution in economics, predictions about the impact of AI, teaching MBAs, productizing AI, and a journey from Tel Aviv to Princeton to Stanford.

Transcript: https://web.stanford.edu/class/cs224u/podcast/goldberg/

Leaving Ohio, being back in Belgium, organizing NAACL 2022, reviewing at NLP-scale, universal dependencies, and doing NLU before it was cool.

Transcript: https://web.stanford.edu/class/cs224u/podcast/demarneffe/

Coding puzzles, practices, and education, structured prediction, the culture of Hugging Face, large models, and the energy of New York.

Transcript: https://web.stanford.edu/class/cs224u/podcast/rush/

Moving to Stanford, linguistic and social variation, interventional studies, and shared stories and lessons learned from an ACL Young Rising Star.

Transcript: https://web.stanford.edu/class/cs224u/podcast/yang/

Birth narratives, stable static representations, NLP for everyone, AI2 and Semantic Scholar, the mission of Ukrainian Catholic University, and books books books.

Transcript: https://web.stanford.edu/class/cs224u/podcast/antoniak/

Realizing that Foundation Models are a big deal, scaling, why Percy founded CRFM, Stanford's position in the field, benchmarking, privacy, and CRFM's first and next 30 years.

Transcript: https://web.stanford.edu/class/cs224u/podcast/liang/

From genes to memes, evidence in linguistics, central questions of computational psycholinguistics, academic publishing woes, and the benefits of urban density.

Transcript: https://web.stanford.edu/class/cs224u/podcast/levy/

Giving a TED talk, linguistic diversity, code switching and large language models, the Indian NLP scene, empowering women with language consultation work, Wordle, and "once a linguist, always a linguist".

Transcript: https://web.stanford.edu/class/cs224u/podcast/bali/

Coast-to-coast professional journeys, multilingual NLP, teaching in a fast-changing field, the history of hate speech detection in NLP, ethics review of NLP research, research on sensitive topics, mentoring researchers, and optimizing for your own passions.

Transcript: https://web.stanford.edu/class/cs224u/podcast/tsvetkov/