Humans & AI — Episode 55

Gerald Kierce — Building Scalable, Responsible AI Governance Systems

Dec 29, 2025·17 min·by Flor LaorgaHumans & AI Show
NOW PLAYING · Humans & AI · Episode 55 17:08
Gerald Kierce — Building Scalable, Responsible AI Governance Systems
0:0017:08

Gerald Kierce — Building Scalable, Responsible AI Governance Systems

Dec 29, 2025

Gerald Kierce — Building Scalable, Responsible AI Governance Systems

Gerald Kierce is the CEO and Co-Founder of Trustible, a company focused on responsible AI governance. With a background that bridges technology and policy, Gerald has held several leadership roles at FiscalNote, including Vice President and General Manager of their AI Solutions division. His experience spans corporate development, product marketing, and business strategy, which informs his approach to building tools that help organizations navigate the complexities of AI regulation and risk management.

In the episode, Gerald shares how Trustible was created to connect the dots between technical teams and legal experts, aiming to make AI governance more practical and scalable. He breaks down their approach, which covers not just the technical performance of AI but also cybersecurity, privacy, ethics, and legal factors. Gerald talks about how effective AI oversight is about more than minimizing risk—it’s about building trust so organizations can confidently adopt AI. He also explores how AI governance can be streamlined like tax software, automating compliance steps while embedding expert knowledge. Throughout the conversation, Gerald reflects on the challenges of startup life and leadership, the importance of cultural trust within teams, and the ongoing debate around AI liability in a rapidly evolving field.

Related

Chen Amit — Why Finance Can't Tolerate AI Hallucinations
Chen Amit — Why Finance Can't Tolerate AI Hallucinations
Chen Amit of Tipalti on why finance can't tolerate AI hallucinations, and how to bring AI to the office of the CFO with control.
Rachel Kirkham — AI for Audit: Full-Population Analytics, Risk Scoring & Trust
Rachel Kirkham — AI for Audit: Full-Population Analytics, Risk Scoring & Trust
Rachel Kirkham, CTO at Mindbridge, on AI for audit: full-population analytics, anomaly detection, trust through transparency, and leading AI teams.
Kevin Surace — AI-First Leadership, QA Automation, and the Future of Work
Kevin Surace — AI-First Leadership, QA Automation, and the Future of Work
Kevin Surace is the CEO of Appvance and a longtime Silicon Valley builder known for moving easily between hard engineering problems and big-picture thinking about what comes next. Often described as the father of the virtual assistant, he’s led work that spans early cellular data smartphones, human-like AI assistants, and newer applications of generative AI in software testing. He also holds 94 worldwide patents and has been recognized across tech and innovation circles, including honors from Inc. Magazine, CNBC, and the World Economic Forum. What makes his background especially distinctive is that it isn’t limited to software: he’s also worked in entertainment, which gives him a practical view of how creativity and technology can feed each other rather than compete.
Anya Cheng: Why “Ideas Are Cheap” and Unique Data Is the Real Moat
Anya Cheng: Why “Ideas Are Cheap” and Unique Data Is the Real Moat
Anya Cheng is the co-founder and CEO of Taelor, an AI-powered men’s clothing subscription service built around sustainability and convenience.

Copyright © 2026 AI Frontier Network | Privacy Policy | Terms of Use