• AI Guardrails
    Sep 16 2026

    In this episode...

    Tim and Tally take on a packed week in AI, where questions about safety, governance, regulation, and rapidly advancing models are getting harder to separate from the hype.

    The conversation starts with a lesson carried forward from the Medicaid Enterprise Systems Conference: organizations rarely get unlimited time to prepare for new technology expectations. Whether the pressure comes from legislation, leadership, customers, or the market, the groundwork for responsible AI adoption often has to begin before the mandate arrives.

    From there, Tim and Tally explore some of the biggest conversations unfolding across the AI industry, including new warnings from researchers working at the frontier, renewed debate around AI safety, and the arrival of increasingly capable models being described in terms of artificial general intelligence.

    Rather than trying to predict exactly where AI is headed, the episode focuses on the questions organizations can act on now: What guardrails should be in place? Who should be responsible for them? How should businesses evaluate increasingly powerful technology? And how do you separate meaningful progress from an increasingly noisy hype cycle?

    Topics Covered

    AI guardrails and responsible adoption
    Preparing for technology mandates before they arrive
    Medicaid technology modernization
    H.R. 1 and organizational readiness
    Data quality and data infrastructure
    AI governance
    AI safety and oversight
    The pace of frontier AI development
    Competition between AI companies
    AI regulation and public policy
    National and global AI governance
    Artificial general intelligence, or AGI
    GPT-6 Astra
    Defining AGI and what it means for businesses
    AI hype cycles and technology marketing
    The economics of AI adoption
    Computer-use AI systems
    Cybersecurity considerations for AI agents
    Human oversight and organizational controls
    Vendor and technology risk
    Aligning technology partners with organizational values
    On-device AI and privacy
    Consumer and organizational influence over technology companies
    Quantum computing and technological competition

    Resources

    AI News and Commentary Mentioned

    Nicholas Thompson on the Anthropic AI Safety Discussion

    OpenAI

    Anthropic

    GPT-6 Astra

    Events and Government Resources Mentioned

    Medicaid Enterprise Systems Conference

    Centers for Medicare & Medicaid Services

    Medicaid.gov

    U.S. Nuclear Regulatory Commission

    Organizations and Companies Mentioned

    Mind Over Machines

    OpenAI

    Anthropic

    Apple

    Tools and Technologies Mentioned

    ChatGPT

    Claude

    Blender

    GPT-6 Astra
    Artificial general intelligence, or AGI
    AI agents
    Computer use
    Large language models
    On-device AI
    AI governance
    AI safety
    Data governance
    Cybersecurity
    Quantum computing

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    45 mins
  • MESC Recap
    Aug 27 2026

    In this special edition...

    Tim is joined by Tally, Sandra Warner, and Sam Hopkins for a recap of the Medicaid Enterprise Systems Conference.

    After a week on the conference floor in Portland, the team brings Tim up to speed on what they heard from Medicaid leaders, federal partners, vendors, and public servants working through the next wave of Medicaid technology modernization.

    The conversation gives listeners a practical look at the themes shaping the Medicaid enterprise space, from data readiness and procurement to AI, governance, change management, and the importance of keeping people at the center of transformation.

    Throughout the episode, one theme keeps resurfacing: successful technology work starts with a clear mission. Before jumping into tools or solutions, organizations need to understand the problem, align around the people they serve, and build the foundation needed for meaningful, sustainable change.

    Topics Covered

    Medicaid Enterprise Systems Conference recap
    Medicaid technology modernization
    Why strategy should come before technology
    State Medicaid agency differences and shared challenges
    Procurement and financial stewardship
    Data maturity, data cleansing, and reliable data foundations
    AI governance and responsible implementation
    Human-in-the-loop AI
    Change management and workforce development
    Vendor alignment around a shared mission
    AI use cases for Medicaid agencies
    IVR and AI-assisted call center routing
    AI as a second set of eyes for data review
    Supporting smaller or shrinking workforces with AI
    Quantum computing as a future readiness topic

    Resources

    Events and Resources Mentioned

    Medicaid Enterprise Systems Conference 2026
    MESC 2026 Event Page
    Mind Over Machines at MESC 2026
    Using AI to Ensure Vendor Harmony with RFPs

    Organizations Mentioned

    Mind Over Machines
    Medicaid Enterprise Systems Conference
    Centers for Medicare & Medicaid Services
    Medicaid.gov
    Oregon Convention Center
    Powell’s Books
    TennCare
    Oak Ridge National Laboratory

    Tools and Technologies Mentioned

    ChatGPT
    Claude
    Microsoft Copilot
    ElevenLabs
    Twilio
    Interactive Voice Response, or IVR
    AI agents
    Voice-to-text
    Data governance
    AI governance
    Quantum computing

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    41 mins
  • MESC Midweek Update
    Aug 19 2026

    In this midweek update...

    The Boring AI Show checks in live from MESC 2026 for a quick real-time recap from the conference floor.

    Tally is joined by Ken Lawrence and Sandra Warner from Mind Over Machines to share a few early themes emerging across the Medicaid technology space, from modernization and data strategy to change management, procurement, and the human side of transformation.

    Rather than a full conference wrap-up, this episode offers a quick pulse check on what the team is hearing, what conversations are standing out, and why practical implementation matters just as much as big technology ideas.

    Throughout the episode, one theme comes through clearly: successful Medicaid technology work depends on strong data, thoughtful change management, and keeping people involved from the very beginning.

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    18 mins
  • Choosing The Right Work For Humans And Machines
    Aug 13 2026
    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 agentsSend us Fan MailThanks 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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    38 mins
  • Starting Your AI Governance Program
    Jul 16 2026
    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 ViewSend us Fan MailThanks 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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    48 mins
  • Mini-Series: AI for Good Day 4
    Jul 10 2026

    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.

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    29 mins
  • Mini-Series: AI for Good Day 3
    Jul 9 2026

    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.

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    23 mins
  • Mini-Series: AI for Good Day 2
    Jul 8 2026

    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.

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    27 mins