Trustworthy AI Showcase
part of a16z’s LA Tech Week 2026
Register to Attend | Apply to Showcase
Trust is the #1 barrier to AI adoption, yet ecosystem blueprints for evaluating and operationalizing trustworthiness at scale have yet to be defined.
PAC is hosting an interactive healthtech AI showcase for healthcare companies and tech professionals to discover and evaluate AI trustworthiness.
Do your instincts to trust align with AI trustworthiness characteristics? Learn to distinguish between trust and trustworthiness.
For many of us, trust is seems like a fuzzy, qualitative concept or feeling.
For product builders and AI adopters, understanding the difference between trust and trustworthiness matters.
Trust in an AI product or system is a user's attitude or perception. Because low trust inhibits user adoption, it’s critical for product teams to proactively collect user feedback and measure perceptions in order to differentiate competitively.
AI trustworthiness characteristics - like accountability, explainability, privacy, robustness, and security - are built into a product or system. Developers and deployers can architect, design, govern, measure and monitor trustworthiness throughout the lifecycle. However, considering the many trade-offs of trustworthiness, teams also need input from users and experts on which characteristics matter most so they can effectively translate policies and preferences into viable, trusted products.
Together, we’ll collectively explore what AI adopters and users can look for and evaluate, using a trustworthy AI scorecard we developed.
Join innovative AI builders and like-minded AI adopters to collectively discover and assess AI trustworthiness in healthtech and fintech AI solutions.
Apply to showcase how your AI healthtech solution is trustworthy.