Humans & AI — Episode 33

Spence Green — Building AI with a Human Touch for High-Stakes Language Challenges

Oct 9, 2025·26 min·by Flor LaorgaHumans & AI Show
NOW PLAYING · Humans & AI · Episode 33 26:08
Spence Green — Building AI with a Human Touch for High-Stakes Language Challenges
0:0026:08

Spence Green — Building AI with a Human Touch for High-Stakes Language Challenges

Oct 9, 2025

Spence Green — Building AI with a Human Touch for High-Stakes Language Challenges

Spence Green is the CEO and Co-Founder of LILT, a company that uses AI to help businesses communicate clearly across different languages. With a Ph.D. in Computer Science from Stanford, where he focused on machine translation and natural language processing, Spence brings a deep technical background to his work. His interest in language grew from learning Arabic after 9/11, seeing language not just as a tool but as a bridge to cultural understanding. At LILT, he combines his expertise in AI with real-world language challenges to make communication easier and more accurate for organizations around the world.

In this episode, Spence talks about how LILT blends AI technology with human insight to handle sensitive and complex translation needs, like those in finance and healthcare. He explains why human review remains crucial for accuracy, especially when mistakes can have serious consequences. Spence also shares how their AI-powered tools help scale access to important information, such as weather alerts delivered in multiple languages. Looking ahead, he discusses the evolving role of AI in business, where smart, integrated systems will shape how companies operate and compete. Throughout the conversation, Spence keeps the focus on making language technology practical and reliable in high-stakes situations.

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