Interview
Can AI tell how you feel?

Andrew Ettinger
CEO, Hume AI

Olya Ossipova
Hume AI
57 minHosted by Kim Isenberg and Peter Thum
Watch on YouTubeAbout this conversation
How do you test whether a voice AI understands the way you speak? Kim Isenberg and Peter Thum sit down with Hume AI’s Andrew Ettinger and Olya Ossipova to explore voice AI, emotion, and the challenge of measuring how well a model listens.
The conversation focuses on what a transcript can miss: tone, hesitation, urgency and the context behind someone’s words. They look at Hume’s VoiceEQ benchmark and Kairos evaluation platform, where human judgment remains essential, and the independence questions that arise when a company builds models, evaluates competitors and sells services in the same industry.
Topics
- What a transcript misses: tone, hesitation and urgency
- Hume’s VoiceEQ benchmark
- The Kairos evaluation platform
- Where human judgment remains essential
- Evaluating voice models for real customer situations
- The business and independence of AI evaluation
Chapters
- 0:00The limitations of voice AI
- 1:14Introduction to Hume AI
- 2:22Voice AI as a scene partner
- 3:51Engineering emotional intelligence
- 5:46Technical evaluation challenges
- 8:27Evolution of the Hume platform
- 10:57Research-backed development
- 13:04Why holistic evaluation matters
- 15:41Customized benchmarks for growth
- 17:28Grounding evaluations in truth
- 19:07Subjective vs. objective metrics
- 22:01Operationalizing voice use cases
- 25:19VPC and data sovereignty
- 26:41The necessity of the platform
- 29:15Scalable human expert feedback
- 32:37The role of third-party auditing
- 33:46Language and dialect complexity
- 36:23Designing for uncertainty
- 38:22Neutrality in a competitive market
- 40:42Voice vs. text development
- 43:48Insights from building models
- 48:02The future of voice evaluation
- 50:47Global trends in language
- 53:52Year-ahead expectations
Kim Isenberg is co-founder and Editor-in-Chief of Superintelligence, an AI newsletter published every weekday.
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