Workshop (In-person) • April 2026
Catch What Your Model Misses: An Anticipatory Design Framework for Ethical AI Evaluation
Drawing on anticipatory design methodology and responsible AI research, this session gives participants a structured, repeatable process and tool for interrogating AI use cases before development begins, and guidance on how to maintain alignment. Workshop delivered at the Advanced Machine Learning Conference, Charlottesville, VA.
Podcast (Online) • April 2026
Why AI Governance Matters Before You Ship Anything to Real Users
AI tools are moving fast… but governance isn’t keeping up. In this episode, Matt sits down with AI strategist Jill Heinze to explore what happens when generative AI moves from experimentation into real-world deployment.
Podcast (Online) • March 2026
AI Design Problem: 3 Questions a CTO Should Ask Before Their Next AI Release
Jill breaks down how generative AI changes the risk model, why non-deterministic systems demand new leadership thinking, and how CTOs can turn governance, user research, and risk into a competitive advantage instead of a bottleneck.
Podcast (Online) • March 2026
AI Governance for CTOs: Turning AI Risk Into Competitive Advantage
Jill explains how anticipatory thinking and structured empathy exercises surface risks that technical teams rarely identify in isolation. She introduces her anticipatory AI horizons and outlines how reframing responsible AI from compliance overhead to strategic discipline strengthens long-term positioning.
Podcast (Online) • Jan 2026
Why Reckless Speed with AI Can Quietly Destroy Trust
Jill explains why 95% of organizations are not seeing ROI from their AI investments, how leaders can turn AI risk into competitive advantage, and what founders must consider before shipping AI-powered products.
Radio Broadcast • Jan 2026
UX Happens in RVA: Exploring Responsible Technology and AI
Jill shares her expertise on developing trustworthy AI solutions through human-centered design and governance. Discover the importance of Responsible Technology and how it can shape the future of AI in positive ways.
Podcast (Online) • Jan 2026
AI Trust Architect: Building Responsible AI
Jill elaborates on her framework, the Four AI Horizons, which guides organizations in their AI adoption journey on the Future Proof podcast.
Podcast (Online) • Dec 2025
User First: Why AI Fails Without Responsible Design
A deep dive conversation on ZeroGrade Talks into what Responsible AI (RAI) entails in practice, and how user research methods support RAI deployment across products.
Workshop • Oct 2024
Guiding Product Teams from Risk to Resilience
Hands-on workshop at GovAI for delivery team leaders to learn and apply a custom Trustworthy AI framework based on NIST's AI Risk Management Framework.
Panel • Oct 2024
AI for Good
In-person panel at GENUX 2024 (Boston, MA) about what it means to leverage AI responsibly for positive outcomes, presented by WillowTree and AIGA Boston.