Jon Chun has undergraduate and graduate degrees in computer science and electrical engineering from UC Berkeley and UT Austin. He has done postgraduate fellowships and NSF research in gene therapy, electronic medical records, and semiconductors at the University of Iowa Medical School, MIT and SEMATECH. After working in large organizations including national labs, finance, and insurance, he co-founded startups in Japan, Brazil and Silicon Valley. He co-authored patents at his last startup to build the world’s largest privacy/anonymity service and designed the first web-based VPN linux appliance. Immediately prior to coming to Kenyon, he was a Fortune 500 director of development for the world’s largest computer security company, entrepreneur in residence at UC Berkeley and judged startup competitions at Berkeley Engineering Graduate School and OSU.
In 2020 he and Katherine Elkins published "Can GPT-3 pass a Writer’s Turing Test?" in the Journal of Cultural Analytics; one of the first critical reviews of generative AI with 60 academic citations currently. Last year they published "What the Rise of AI Means for Narrative Studies: A Response to ‘Why Computers Will Never Read (or Write) Literature’ by Angus Fletcher." in Narrative. He gave the first presentation on GPT-2 at the Narrative Conference in 2020 and this March is presenting “Augmenting Narrative Generation with Visual Imagery Using Integrated Prompt Engineering (ChatGPT, DALL-E 2)” at Narrative 2023. His 2023 article "Exploring the Black Box: Narrative XAI (eXplainable AI)" will appear in the International Journal of Digital Humanities (IJDH) 2023 Special Issue on "Reproducibility and Explainability in Digital Humanities."
Areas of Expertise
Human-centered CS, AI/ML, Narrative NLP, eXplainable AI, AI Fairness-Accuracy-Transparency-Explainability, HealthTech, FinTech, Cybersecurity, Startups, SciComp
1995 — Master of Science from University of Texas at Austin
1989 — Bachelor of Science from Univ. of California Berkeley