Former Bank of England economist turned AI entrepreneur Sam Miller from Artanis shares insights on building trustworthy AI systems and navigating the current AI boom. Drawing parallels between today’s AI landscape and the .com era, Sam discusses why most AI doesn’t actually work, the importance of proper data labeling, and how his unique background in economics and powerlifting led to innovative approaches in AI development.
Chapters
21:07 The Importance of Data Labeling in AI
23:52 Core Principles of Building Effective AI
25:57 The Evolution of AI Labeling Tasks
29:26 Defining Policy in AI Labeling
31:15 Artanis: Building Trustworthy AI Products
33:27 Current State of AI Market
36:34 Policy Implementation in Medical AI
40:14 Understanding Investor Dynamics
43:42 The Importance of Truth in Business
44:57 Future Prospects of AI in Everyday Life
Key Topics:
- The transition from economics to AI entrepreneurship
- Why most current AI systems don’t actually work
- The importance of policy in AI development
- Parallels between AI and the .com bubble
- Insights on pitching to VCs
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