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The Boring AI Show

The Boring AI Show

Hosted by Mind Over Machines

Episodes

23

Latest episode

Aug 2026

Language

EN-US

About the show

Dive into AI's real impact on biz with "The Boring AI Show"! 🎙️ Honest chats, humor & insights on tech, change, and human collaboration.

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23 recent
August 13, 2026Episode 1239 min

Choosing The Right Work For Humans And Machines

In this episode...Tim and Tally explore a deceptively simple question: What work is best suited for people, and what work should be handled by AI? Rather than treating the decision as a competition between humans and machines, they consider how the two can work together—and why the right balance may look different across organizations, teams, and individual tasks.The conversation examines how culture, risk, responsibility, and the intended experience all influence where AI belongs in a process. A tool may be capable of performing a task, but that does not automatically mean an organization should delegate it. From customer service and employee onboarding to document review and decision support, Tim and Tally discuss the questions teams should ask before deciding how much responsibility to give a machine.They also break down the differences between AI assistants, autonomous systems, and agents, along with the oversight each requires. The discussion moves beyond simply adding AI to an existing workflow and considers how organizations can thoughtfully redesign work around the strengths of both people and technology.Throughout the episode, Tim and Tally return to the idea that human and AI involvement is better understood as a slider than a switch. Finding the right position requires more than choosing a tool—it requires clarity about the task, the desired outcome, the acceptable risks, and where human judgment still matters most.Topics CoveredHuman and AI collaboration versus human-versus-machine thinkingDetermining which work should remain human-ledAI-led work with human oversightHuman-led work with AI assistanceTasks that may not be appropriate for AIOrganizational culture and acceptable AI useCustomer and employee experienceHR onboarding and AI-assisted hiringHuman bias and algorithmic biasResume screening and compensating controlsHuman review, quality checks, and accountabilityAI hallucinations and realistic expectationsUsing AI for sensitive or high-stakes decisionsAI summarization and document reviewReengineering processes around AI capabilitiesThe human–AI slider at the task levelAI assistants, autonomous systems, and agentsAudit logs and oversight for automated workflowsRole-based access to advanced AI capabilitiesUsing AI to prioritize work and reduce context switchingCreating fictional companies and sample data for workshopsUsing AI-generated content to make learning more immersiveResourcesResearch and References MentionedDo You Mind if I Ask You a Personal Question? How AI Service Agents Alter Consumer Self-DisclosureNIST Artificial Intelligence Risk Management FrameworkWaymo Arrives in Denver to Prepare for Future Autonomous ServiceMicrosoft Northwind Sample DatabaseMicrosoft Contoso Regional Sales SampleOrganizations MentionedMind Over MachinesMicrosoftOpenAIAnthropicAdobeElevenLabsWaymoServiceNowMiroNational Institute of Standards and TechnologyREI Co-opCostcoTools and Technologies MentionedChatGPTClaudeMicrosoft 365 CopilotMicrosoft Power AutomateMicrosoft PowerPointMicrosoft Word Read AloudServiceNow AI AgentsMiroAdobe Firefly BoardsElevenReaderElevenLabs AgentsWaymo DriverRobotic Process AutomationAI assistantsAutonomous AI systemsAI agents Thanks for listening! Visit us at @mindovermachines.com to learn more about us!Want to stay up to date on our latest AI insights? Subscribe to our newsletter here!

July 16, 2026Episode 1148 min

Starting Your AI Governance Program

In this episode...Tim and Tally sit down to tackle one of the most requested topics on The Boring AI Show: AI governance. While governance may sound like a dry policy conversation, the episode quickly turns into a practical discussion about trust, risk, responsibility, and what it really takes to bring AI into an organization without creating avoidable surprises.The episode starts with AI news stories that set up the broader theme. From AI literacy efforts in education to a brand mishap involving AI-generated marketing, Tim and Tally explore why organizations need more than enthusiasm when adopting AI. They need shared rules, clear expectations, and a thoughtful understanding of where AI fits into their culture, values, and daily work.The conversation covers what AI governance actually means, why it should not be treated as only an IT or legal issue, and how companies can begin building guardrails that are realistic for where they are today. Tim and Tally also discuss the risks of moving too fast, from reputational damage and workforce mistrust to shadow AI, data exposure, and tools evolving faster than policies can keep up.Throughout the episode, one theme keeps resurfacing: good AI governance is not about slowing innovation down. It is about helping people use AI with more confidence, more clarity, and more accountability, so organizations can move forward without losing sight of quality, trust, and human judgment.Topics CoveredWhat AI governance means in practical termsWhy governance is more than policyAI guardrails and avoiding bad surprisesAI literacy for students, teachers, parents, and communitiesHuman review for AI-generated marketing and public contentReputational risk, legal risk, financial risk, and workforce trustShadow AI and tools already being used inside organizationsBuilding an AI-forward team or steering committeeStarting small with governance instead of overbuilding too earlyModel inventories and approved AI tool listsData classification and acceptable usePolicies, procedures, standards, and guidelinesUse case intake and review workflowsAI wearables, recording, consent, and workplace expectationsUsing AI for creative work, slide generation, and brainstormingResourcesArticles and News MentionedAI Literacy Framework for Primary and Secondary EducationREI got roasted for a nonsensical Instagram ad featuring a bike with 2 sets of handlebars and blamed a Meta AI toolEU AI ActGamestorming: 7Ps FrameworkTechCrunch: Humane’s AI Pin is dead, as HP buys startup’s assets for $116MOrganizations MentionedMind Over MachinesOECDEuropean CommissionCode.orgREI Co-opMetaMicrosoftAnthropicOpenAIGoogleAdobeElevenLabsHiggsfield AIHumaneHPTools and Technologies MentionedMeta AIMicrosoft CopilotCopilot in PowerPointPowerPoint Agents in Microsoft 365 CopilotChatGPTClaudeAdobe FireflyHiggsfield AIElevenLabsRay-Ban Meta AI GlassesGoogle MapsGoogle Street View Thanks for listening! Visit us at @mindovermachines.com to learn more about us!Want to stay up to date on our latest AI insights? Subscribe to our newsletter here!

July 10, 2026Episode 1030 min

Mini-Series: AI for Good Day 4

In this mini episode...Tim and Tally wrap up The Boring AI Show’s AI for Good Global Summit mini-series with one final recap from the week.The conversation gives listeners a taste of the summit’s closing themes, from education and human connection to global governance, authenticity, and the long-term choices organizations face as AI continues to evolve.Rather than covering every session, Tim and Tally reflect on the ideas that felt most useful for business leaders, teams, and everyday AI users trying to make sense of where this technology is heading.Throughout the episode, one theme comes through clearly: the future of AI will be shaped not only by what the tools can do, but by the values, questions, and people guiding how they are used. Thanks for listening! Visit us at @mindovermachines.com to learn more about us!Want to stay up to date on our latest AI insights? Subscribe to our newsletter here!

July 9, 2026Episode 924 min

Mini-Series: AI for Good Day 3

In this mini episode...Tim and Tally return for another AI for Good Global Summit recap, this time reflecting on a day that brought a slightly different tone to the global AI conversation.The episode gives listeners a quick look at some of the themes emerging from the summit, including creativity, trust, responsibility, and the relationship between AI and human expression.Rather than trying to cover every session, Tim and Tally focus on the ideas that felt most relevant for organizations, creators, and everyday AI users trying to understand where this technology is headed.Throughout the episode, one theme keeps resurfacing: AI is not just changing what people can make. It is also pushing us to think more carefully about ownership, consent, creativity, and the human role behind the work. Thanks for listening! Visit us at @mindovermachines.com to learn more about us!Want to stay up to date on our latest AI insights? Subscribe to our newsletter here!

July 8, 2026Episode 827 min

Mini-Series: AI for Good Day 2

In this mini episode...Tim and Tally kick off The Boring AI Show’s AI for Good Global Summit mini-series with a quick first recap from the event.The conversation gives listeners a taste of the major themes emerging from the summit, from responsible AI and global collaboration to trust, values, and the role people play in shaping what comes next.Rather than trying to cover everything, Tim and Tally highlight the ideas that stood out most and connect them back to the practical questions organizations should be asking as AI continues to evolve.Throughout the episode, one theme comes through clearly: the future of AI is not just about better technology. It is about the choices people, communities, and organizations make together. Thanks for listening! Visit us at @mindovermachines.com to learn more about us!Want to stay up to date on our latest AI insights? Subscribe to our newsletter here!

July 2, 2026Episode 72 min

Special Announcement: AI For Good Global Summit - Mini-Series

In this special announcement...The Boring AI Show is interrupting its regularly scheduled programming for something a little different: a mini-series covering the AI for Good Global Summit.Next week, Tim and Tally will be following the summit virtually each day and bringing listeners quick, practical recaps of the biggest themes, takeaways, and conversations. The summit brings together global voices around one big question: how can AI be developed and used responsibly to help solve real-world challenges?This mini-series will break down the major ideas coming out of the event, from responsible AI and sustainable development to policy, governance, and what organizations should be paying attention to next.Tune in next week as The Boring AI Show does what it does best: taking a huge, important AI topic and making it useful, approachable, and a little less boring. Thanks for listening! Visit us at @mindovermachines.com to learn more about us!Want to stay up to date on our latest AI insights? Subscribe to our newsletter here!

June 18, 2026Episode 648 min

Next Generation Workforce

In this episode...Tally is joined by Nicholas Detorie and Jared Jones from Mind Over Machines to explore what it means to start a software development career in the age of AI. With Tim out for this episode, the conversation focuses on the next generation of workers: AI can make learning, building, and experimenting more accessible, but it does not replace fundamentals, judgment, or accountability.The episode starts with a few AI news stories that set up a broader discussion about trust, risk, and real-world adoption. From there, Nicholas and Jared join Tally to talk about how AI is changing the way developers learn, work, and think through problems, especially for people entering technical fields today.The conversation covers the benefits and risks of AI-assisted learning, why strong fundamentals still matter, and how managers can support newer workers who are already used to having AI in the workflow. Along the way, the group shares practical examples of AI as a coding partner, learning tool, coach, and reviewer.Throughout the episode, one theme keeps resurfacing: AI can help people move faster and try things they might not have attempted before, but the strongest results still come from pairing AI with human judgment, clear quality standards, and the willingness to learn what is happening underneath the output.Topics CoveredStarting a software development career in the age of AIHow AI changes the learning curve for new developersWhy AI can lower barriers to entry for technical workThe difference between using AI to learn and using AI as a crutchWhy programming fundamentals still matterStack Overflow, GeeksforGeeks, and how developers learned before AIDeveloper trust and distrust in AI coding toolsWhy AI-generated code still needs human reviewHuman-in-the-loop workflows for developers and AI toolsVibe coding and the risk of hidden technical debtInflated confidence when AI helps with unfamiliar skillsKnowing when to involve an expertAI safety, jailbreaks, and model governanceExport controls and dependency on frontier AI modelsBusiness continuity risks when an AI model is suddenly unavailableAI in agriculture, including robotic milking and laser weedingUsing AI as a coach, thought partner, and reviewerHow managers can support AI-native junior workersBalancing speed, quality, mentorship, and accountabilityUsing AI to maintain consistency across client-facing project materialsBuilding an e-ink AI news dashboard with RSS feeds and LLM rankingUsing ChatGPT for soccer tactics and formation planningResourcesArticles and News MentionedAnthropic pulls Claude Mythos 5 and Claude Fable 5 following US government directiveInside the whirlwind 24 hours that led the White House to slap export controls on AnthropicForbes: Anthropic Pulls Fable, Mythos After Government Issues Emergency Export Control OrderNew York Times: From Cow-Milking Robots to Weed-Zapping Lasers, Farmers Are Embracing A.I.Stack Overflow 2025 Developer Survey: AIStack Overflow Blog: Developers remain willing but reluctant to use AIMDN: RSSFIFA World Cup 2026Organizations MentionedMind Over MachinesAnthropicAmazonStack OverflowThe New York TimesSeeed StudioGeeksforGeeksFIFATools and Technologies MentionedClaudeClaude Fable 5Claude Mythos 5ChatGPTStack OverflowGeeksforGeeksSeeed Studio reTerminal E1001 Thanks for listening! Visit us at @mindovermachines.com to learn more about us!Want to stay up to date on our latest AI insights? Subscribe to our newsletter here!

June 11, 2026Episode 550 min

The Data Behind the Intelligence

In this episode...Tim and Tally sit down with Brent Paugh, Business Intelligence Manager at Mind Over Machines, to dig into the data layer behind AI. The conversation centers on a practical truth that shows up again and again across healthcare, business intelligence, automation, and everyday AI use: AI is only as useful as the context, data, governance, and human judgment surrounding it.The episode starts with a pair of AI news stories that set up a broader discussion about the relationship between AI, data, and human expertise. From there, Brent joins Tim and Tally to explore what it takes to make AI useful inside organizations, including data quality, business context, governance, and trust.The conversation covers why AI struggles without shared definitions and structured information, how organizations can think about security and access when deploying AI tools, and where human judgment still plays a critical role. Along the way, the group shares practical examples of AI in action, from analytics and synthetic data to knowledge management and content creation.Throughout the episode, one theme keeps resurfacing: successful AI initiatives depend on more than the technology itself. The strongest results come when AI is paired with well-managed data, clear business context, and thoughtful human oversight.Topics CoveredWhat “clean data” means in practiceWhy AI needs business context, not just access to dataStructured versus unstructured dataWhy humans still need to define terms like customer, revenue, region, and inventoryThe importance of semantic models for BI and AIUsing AI with dashboards and trusted business metricsWhy AI outputs need expert validationCognitive laziness and the risk of over-trusting AIData classification, restricted data, sensitive data, PII, PHI, and HIPAA considerationsAI connectors and the danger of unfettered system accessUsing synthetic data to protect private informationPredictive analytics, machine learning, and early cancer detectionThe baseball statistics example: clean domain data plus human expertiseAI-readable communication, including headings and structured documentsAI slide generation across Copilot, NotebookLM, and MiroClaude agent swarms and Dynamic Workflows for large knowledge-graph updatesUsing AI as a thought partner and role-based reviewerResourcesArticles and News MentionedAI for Good: AI and the Future of Inclusive Mental Health CareAI for Good Global Summit 2025Mayo Clinic: AI Detects Pancreatic Cancer Up to 3 Years Before Diagnosis in Landmark Validation StudyForbes: Samsung Bans ChatGPT and Other Chatbots for Employees After Sensitive Code LeakCIO Dive: Samsung Employees Leaked Corporate Data in ChatGPTOrganizations MentionedAI for GoodInternational Health Charity AssociationMayo ClinicTools MentionedGameChangerClaude Opus 4.8ClaudeChatGPTMicrosoft CopilotCopilot in PowerPointGoogle GeminiNotebookLMMiro SidekicksPerplexityRedgate SQL Data Generator Thanks for listening! Visit us at @mindovermachines.com to learn more about us!Want to stay up to date on our latest AI insights? Subscribe to our newsletter here!

June 4, 2026Episode 458 min

AI & Critical Thinking

In this episode...Tim and Tally sit down with Jessy Jordan, professor of philosophy at Mount St. Mary's University in Emmitsburg, Maryland, to dig into what AI is doing to critical thinking. The conversation starts with discussion around the Pope's first encyclical, Magnifica Humanitas. Jessy pulls out the three things that matter most: a moral vision centered on human dignity, a pointed warning about AI monopolies and the danger of leaving transformative technology in the hands of a very few.Then Jessy takes the conversation into the trenches of university education. He describes the university as an intellectual gym and explains why students who outsource their cognitive work to AI aren't just cutting corners on a paper, they're skipping the reps that build judgment, structure, and confidence in their own competence. Tim connects that to what he's seeing in the workforce too, where experienced professionals are accepting AI outputs without validation and people who have been doing their jobs for years are hitting the easy button without ever checking what came out the other side.Topics CoveredThe Pope's encyclical Magnifica Humanitas and what it says about AIAI monopolies and who controls transformative technologyThe IKEA chatbot example: automation paired with reskillingWhat a university education is actually forThe university as an intellectual gymCognitive offloading and what students lose when AI does the thinkingWhy generalists are going to be in high demandUsing AI as a thinking partner without losing slow reflectionPractical AI use cases: summarization, audio tools, and slide creationResourcesArticles and News MentionedPope Leo XIV's Encyclical: Magnifica HumanitasTime: Pope Leo Uses First Major Papal Text to Warn About Dangers of AIPBS NewsHour: Pope Calls for Robust Regulation of AIFortune: Barnes & Noble CEO Clarifies Stance on AI-Generated BooksPYMNTS: IKEA Turned 8,500 Call Agents Into Design ConsultantsMississippi Statewide AI FrameworkPeople and Organizations MentionedJessy Jordan, Ph.D. — Mount St. Mary's UniversityAlgorithmic Justice LeagueMind Over Machines ResourcesTools MentionedElevenReader by ElevenLabsMiro Thanks for listening! Visit us at @mindovermachines.com to learn more about us!Want to stay up to date on our latest AI insights? Subscribe to our newsletter here!

May 28, 2026Episode 347 min

How Liberal Arts Students Build Responsible AI

In this episode...Tim and Tally talk about the AI for Humanity event, hosted at The Towson University College of Liberal Arts. The idea for the event was simple: give liberal arts students - those who normally don't get the first say in tech - the opportunity to shape the future. Tim and Tally recap the various group teams that presented their solutions to a modern AI problem in a hypothetical scenario. The conversation explores how AI governance spans from a technical problem to a social problem. Tim and Tally discuss the different approaches student teams took, including ethics-first frameworks, impacted-population governance, stage-gate review processes, and even a critical anti-AI perspective.The episode also features interview clips from students, faculty, and professionals answering the question: “What advice would you give to business professionals just starting to use AI?”Topics Covered AI governance as a liberal arts challenge  Towson University’s AI for Humanity event  Responsible AI policies and human-in-the-loop review  Ethics-first AI governance  Impacted-population governance  Stage-gate review processes for AI use  Whether every problem actually needs AI  Building AI tools with affected communities, not just for them  AI as a collaborator, not a competitor  Practical advice for business professionals starting to use AI  Using AI carefully without treating it as an answer machine  Practical AI use cases for learning, organization, dashboards, and workflow support ResourcesEvent SponsorsBaker DonelsonAPWU Health PlanThe Coca-Cola CompanyMaryland Technology CouncilEvent LinksTowson University: Students Develop Solutions for Responsible AI UseCLA AI for Humanity CompetitionTowson StarTUp at the ArmoryWMAR: Towson University Hosts AI for Humanity ChallengeMind Over Machines ResourcesArticles and News MentionedGates Foundation: Making AI Work for More PeopleAnthropic: Gates Foundation PartnershipReuters: Anthropic and Gates Foundation Launch $200 Million PartnershipReuters: Elon Musk Loses Lawsuit Against OpenAIArnold’s Pump Club: This Is Your Brain on AI Thanks for listening! Visit us at @mindovermachines.com to learn more about us!Want to stay up to date on our latest AI insights? Subscribe to our newsletter here!

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