John P. Cavanaugh is a founder, privacy technologist, and PhD candidate at the University of Cincinnati's AI BIO Lab, where he builds privacy-by-design AI systems rooted in explainability and human accountability. After nine years co-founding and leading Plunk Student Community, he spent five years as Executive Director of the Plunk Foundation, serving 30 million children, women, and veterans through consent-first digital safety technology. Today he serves on boards across nonprofit, civic, and technology sectors and advises organizations on responsible AI, privacy strategy, and ethical leadership.
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Credentials
Scale
Speaking
One offer, kept simple: book John for a presentation, keynote, or panel — $500 flat. AI governance, privacy, explainable AI, and the surveillance economy, delivered by someone who built the technology, published the research, and paid the price of the principle.
See talks & book →Advisory & Board
Selected Press
Experience
Projects & Research
First-author. Improving model robustness under noise perturbation using fuzzy feature augmentation. North American Fuzzy Information Processing Society, 2026.
First-author. Fuzzy inference systems applied to rank and surface actionable peer feedback at scale.
Ground-up AI architecture combining fuzzy logic, graph databases, and vector databases — built with XAI principles and privacy by design.
Consent-first infrastructure enabling social service agencies to act as one team without re-exposing vulnerable families' data.
Connect
If you're building something that matters — a company, a coalition, a system — and you need someone who has done it before and will tell you the truth, let's talk.