Building Trust in AI – Lawrence Snap on Hallucination Detection and the Future of TrustScale

Building Trust in AI – Lawrence Snap on Hallucination Detection and the Future of TrustScale

In this episode, hosts Frank La Vigne and Andy Leonard sit down with Lawrence Snapp, CEO and board member of TrustScale, an innovative AI trust and verification platform. Together, they explore the crucial topic of trust in artificial intelligence—how hallucinations from AI models can spiral out of control and why it’s essential to catch them early.

Lawrence Snapp pulls back the curtain on TrustScale’s journey from early AI and translation work in the 1980s and call center solutions, to its modern-day mission: empowering humans to verify and trust AI outputs with products like Argus.

You’ll hear about real-world impacts in fields like healthcare, legal, and research, learn how TrustScale’s deterministic engine outpaces humans in hallucination detection, and dive into debates around truth, trustworthiness, and the future of configuring AI values. Whether you’re an industry veteran or just curious about how we build trustworthy AI, this episode is packed with insights on technology, responsibility, and the power of rigorous engineering.

Links
Time Stamps

00:00 Funny AI-generated story

03:37 Company's Evolution from Translation to AI

07:32 Developing the TrustScale engine

11:35 Using AI for collaboration

13:39 Building a trust scoring system

18:12 Working at BASF and AI testing

19:32 New developments in voice assistants

23:41 Trust scale and company confidence

26:13 AI mishap in medical drama

32:48 Overcoming AI recency and cost challenges

36:54 AI's impact on career growth

38:50 Interviewing and developing talent

43:31 Starting with Polaroids and AI goals

46:54 Discussing TrustScale and AI interactions

50:42 Empowering AI customization for users

51:45 AI ethics discussion in Los Altos

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