What can we trust AI with and what boundaries do we need?
Mon Dec 08 2025
Send us a message - we'd love to hear from you
What if moving faster with AI didn't mean giving up your judgment?
We sit down with Lindsay Semas, an AI leader who's spent years building trustworthy technology at scale, to explore the gap between what AI can do and what we should let it do - from drafting emails to shaping customer strategy.
We start with the quick wins: smarter research, better first drafts, fewer browser tabs. Then we get into the harder stuff: how to earn trust in AI outputs by asking for sources, questioning what's missing, and matching your scrutiny to the stakes. Lindsay introduces a sliding-scale approach: lean on AI for synthesis, but keep humans in the loop when outcomes touch customers, compliance, or your reputation.
The real heart of the conversation: Governance. Lindsay walks us through how her company built a cross-functional trust council, complete with checklists, accountability structures, and clear guidelines on when AI decisions need human oversight. We also tackle the anxiety around job displacement and the pace of change.
Whether you're leading a team or just trying to use these tools better, this one's for you.
Subscribe, share with a colleague, and let us know what resonates.
We want to thank the team that continues to support us in producing, editing and sharing our work. Jonah Smith for the heartfelt intro music you hear at the beginning of each podcast. We LOVE it. Hillary Rideout for writing descriptions, designing covers and helping us share our work on social media. Chad Penner for his superpower editing work to take our recordings from bumpy and glitchy to smooth and easy to listen to episodes for you to enjoy. From our hearts, we are so thankful for this team and the support they provide us.
More
Send us a message - we'd love to hear from you What if moving faster with AI didn't mean giving up your judgment? We sit down with Lindsay Semas, an AI leader who's spent years building trustworthy technology at scale, to explore the gap between what AI can do and what we should let it do - from drafting emails to shaping customer strategy. We start with the quick wins: smarter research, better first drafts, fewer browser tabs. Then we get into the harder stuff: how to earn trust in AI outputs by asking for sources, questioning what's missing, and matching your scrutiny to the stakes. Lindsay introduces a sliding-scale approach: lean on AI for synthesis, but keep humans in the loop when outcomes touch customers, compliance, or your reputation. The real heart of the conversation: Governance. Lindsay walks us through how her company built a cross-functional trust council, complete with checklists, accountability structures, and clear guidelines on when AI decisions need human oversight. We also tackle the anxiety around job displacement and the pace of change. Whether you're leading a team or just trying to use these tools better, this one's for you. Subscribe, share with a colleague, and let us know what resonates. We want to thank the team that continues to support us in producing, editing and sharing our work. Jonah Smith for the heartfelt intro music you hear at the beginning of each podcast. We LOVE it. Hillary Rideout for writing descriptions, designing covers and helping us share our work on social media. Chad Penner for his superpower editing work to take our recordings from bumpy and glitchy to smooth and easy to listen to episodes for you to enjoy. From our hearts, we are so thankful for this team and the support they provide us.