Exploring AI, Knowledge, and Ethics with John Helm (Bonus Episode)

from How Many CTOs Hosted by https://howmanyctospod.com/episodes

In this bonus episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub sit down once again with technologist and philosopher John Helm, this time for a wide-ranging conversation about artificial intelligence, epistemology, and what it means to be human in an age of machines. John draws on his background in statistics and philosophy to frame AI through the lens of knowledge, reasoning, and moral agency. The episode touches on the hype and promise of modern AI systems, explores the difference between correlation and understanding, and raises deep questions about consciousness, ethics, and whether general intelligence can exist without emotion. John even challenges the language we use to describe AI by grounding the conversation in ancient philosophical questions, the structure of scientific truth, and how humans conceptualize value and meaning. 00:00 Introduction: What Makes Us, Us 00:19 Diving into AI: Hype and Reality 01:03 Philosophical Insights: Knowledge and Understanding 03:00 AI and Human Understanding: Patterns and Predictions 05:19 Ethical Concerns and Human Morality 08:14 Concluding Thoughts: Ethics, Knowledge, and Governance 10:28 Outro: Follow and Subscribe Resources: How Many CTOs Pod: https://howmanyctospod.com Scott Porad: https://www.linkedin.com/in/scottporad/ Brad Hefta-Gaub: https://www.linkedin.com/in/bradheftagaub/ John Helm: https://www.linkedin.com/in/johnlhelm/ #TechPodcast #EngineeringPodcast #PodcastForDevs #HowManyCtos #Podcast #Ctos #Technology #Leadership #EngineeringLeadership #CtoPodcast #ArtificialIntelligence #AGI #MachineLearning #AIHypeCycle #AIPhilosophy #EthicsInAI #MoralMachines #ReasoningModels #Epistemology #KnowledgeAndTruth #HumanConsciousness #AIAndHumanity #GeneralIntelligence #CorrelationVsCausation #AIAlignment #PredictiveModels #PhilosophyOfAI

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Exploring AI, Knowledge, and Ethics with John Helm (Bonus Episode)

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This episode is 11 minutes long.

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This episode was published on May 29, 2025.

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