I am an academic researcher and applied AI researcher in interdisciplinary humane studies. I contribute articles and propose changes related to my areas of expertise, collaborations, or affiliated projects; when I have such a conflict of interest, I disclose it and use article talk pages rather than editing affected articles directly.

I am Jon Andre Chun. Per WP:COI and WP:AUTOBIO, I disclose that I am the subject of Draft:Jon Chun (and any future Jon Chun article). I am not paid by anyone to edit Wikipedia; this is an autobiography submitted through WP:AfC for independent review, and I will not directly create or move the article into mainspace.

I have had conflicts of interest regarding articles including Draft:Jon Chun, Draft:The Helix Center, SafeWeb, Digital humanities, Katherine Elkins and Sentiment analysis, and I disclose article-specific conflicts on relevant talk pages when proposing changes. Katherine Elkins is my frequent research collaborator and spouse.

This user has publicly declared that they have a conflict of interest regarding these Wikipedia articles: Draft:Jon Chun Draft:The Helix Center SafeWeb Digital humanities Katherine Elkins Sentiment analysis

Ohio, United States

Focused on interdisciplinary topics related to AI, technology, as well as both benefits and threats to the wider world. This includes transdisciplinary research across siloed academic fields and especially across the deep C.P. Snow divide between STEM and non-STEM fields. Interests also include researching the collective influences between technology, society, economics, and governance. Explicit and latent connections are reinforced through research (e.g., in storytelling, cognitive science, emotion, etc.), re-envisioning higher education with regard to the future of work, and hundreds of innovative ML/AI projects based on real-world issues. An important parallel line of research is in quantifying and safeguarding human-AI alignment concerns via traditional risk management frameworks as well as AI-specific safety benchmarks and auditing frameworks.

Academic AI Researcher, co-founder human-centered AI and AI Colab focused on interdisciplinary AI and real-world applications of technology in fields like medicine, law, economics, narrative, etc. Recent conference and publications include Narrative, the Modern Language Association, Cultural Analytics, Springer's Int'l Journal of Digital Humanities, ArXiv, Frontiers in Computer Science, International Conference on Machine Learning (ICML), and others.

Graduate and undergraduate education in electrical engineering and computer science with later studies in cellular biology (premed), medicine (medical school), Japanese (Nihongo Ryouku Shiken), and Spanish (US Foreign Service Exam). Post graduate study of technical Japanese sponsored by the US Dept of State/US Navy. Post graduate study in genomics and medical informatics research sponsored by the American Heart Association. Development of human-centered AI Colab by National Endowment of the Humanities (indirect).

I've been involved in academic, government and industry collaborations for AI safety (IBM, NIST US AI Safety Consortium/Center for AI Standards and Innovation), basic research (LBL Advanced Light Source, UCLA Plasma Physics Lab, SEMATECH), medicine (University of Iowa Hospitals and Clinics, FDA-affiliated org) and GenAI Future of Work (META, AI Alliance)

I have previous research and patents in FinTech, InsurTech, HealthTech, privacy/anonymity, network security, semiconductors, genomics, semiconductors, and other areas. I have lived and worked across the US as well as in Europe, Latin America, and Asia. Successful Silicon Valley startup in privacy, anonymity and security. Startup experiences in pan-Latin America tech supply chains, Pacific Rim consumer lifestyle brands (fashion, music and tech), and judging competitions at UC Berkeley and tOSU.

J2000ai (talk) 05:30, 31 May 2026 (UTC)