How to Build Trustworthy AI — Allie Howe
Jun 16, 2025 · 24:22
Allie Howe, VC CISO at GrowthCyber, argues that trustworthy AI equals AI Security (how the world harms your AI) plus AI Safety (how your AI harms the world), and that builders are legally and reputationally responsible. She covers three pillars: MLSecOps (scanning models for serialization attacks using open‑source ModelScan), AI Red Teaming (testing for prompt injections, jailbreaks, and safety issues with tools like PyRIT), and AI Runtime Security (validating inputs/outputs in production via platforms like Pillar to block off‑topic or unsafe behavior). Howe cites real incidents—a Chevy Tahoe chatbot offered for $1, Slack's data leak via prompt injection, Fortnite's Darth Vader NPC initially producing racist outputs—and notes a lawsuit where OpenAI won by arguing users must expect errors. She emphasizes shifting‑right to runtime guardrails as the most cost‑effective investment and advises demonstrating trustworthiness through GRC platforms like Vanta to shorten sales cycles. With increasing regulation (ISO 42001, EOAI Act, FDA guidelines), she concludes that building trustworthy AI now unlocks revolutionary innovation in fields like healthcare.
