The Other AI: Audio Briefings on Augmented Intelligence and AI Governance

Basil C. Puglisi
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The Other AI turns Basil C. Puglisi's articles, white papers, and policy briefs into audio briefings on AI governance, augmented intelligence, human judgment, and human-AI collaboration. The format is built for the time and conditions in which people actually learn, whether running, driving, riding a train, or working on something else. Episodes are AI-narrated for clean, consistent production, and human review approves each publication before release. The complete original work, including details, sources, and citations, lives at basilpuglisi.com. Topics include HAIA-RECCLIN, Factics, Checkpoint-Based Governance, enterprise AI adoption, AI policy, cognitive enhancement, and the future of human authority over automated systems. This podcast is for executives, researchers, consultants, educators, policy thinkers, and AI practitioners who want more than AI hype. The show focuses on evidence, dissent, governance, measurable outcomes, and the role of human judgment when machines become more capable.

  1. 1d ago

    Human-AI Collaboration the History and Road to Now

    What should Human-AI Collaboration be, and who answers for what it produces? This episode follows human oversight and accountability from the cybernetics literature of 1948 to Article 14 of the EU AI Act in 2024. On the way it passes the two-man rule, federal audits, Sarbanes-Oxley, and data protection law. The hosts then look at where AI work stands in 2026, from agentic systems that act without real-time human involvement to permission prompts approved roughly 93 percent of the time. They set a human in the loop beside Checkpoint-Based Governance (CBG), where a named person holds binding authority to accept, modify, or reject an AI output and leaves a record. The last part turns to the Growth OS, a future of work in which AI amplifies people instead of replacing them. It closes on governance as both a safety net and a cognitive tool. CBG is in production use in the author's own work and has not yet been independently validated. Read the original paper: https://basilpuglisi.com/human-ai-collaboration/ https://doi.org/10.5281/zenodo.23025802 Podcast: The Other AI: Audio Briefings on Augmented Intelligence and AI Governance Spotify: https://open.spotify.com/show/033dvhzMIcWLdY7IUgsu7F Apple Podcasts: https://podcasts.apple.com/us/podcast/id1896506152 Amazon Music: https://music.amazon.com/podcasts/923d1a79-533f-4623-bae3-e2ba83453dfb YouTube playlist: https://www.youtube.com/playlist?list=PLchpU2bIYoEEBh2hdY-BVP9ckyTPiHOAQ Generated using NotebookLM. Content may have inaccuracies. For full detail refer to the original paper, document, or article. These are AI generated under NotebookLM as audio overviews not polished products. #AIassisted using the HAIA Ecosystem | CC BY-NC-SA 4.0 Free for personal, educational, and noncommercial research use with attribution. Commercial exploitation, paid productization, and enterprise commercialization require separate permission and licensing.

    Human-AI Collaboration the History and Road to Now

  2. 3d ago

    AGI Hype, a Year Later: Superintelligence and Who Answers for AI

    A year ago an essay argued that AGI talk is usually about money and not reality, and that every AI decision traces back to a human. This September, Andrew Ng, Timnit Gebru, and Emily Bender reached the same point from opposite sides of the debate. The hosts walk through the OpenAI incident told two ways, the summer's math claims held to one standard, and why superintelligence is further off than sold. They take up the conditional argument that it will not end us and close on the checkpoint where a named person accepts, modifies, or rejects. https://basilpuglisi.com/agi-hype-superintelligence/ Podcast: The Other AI: Audio Briefings on Augmented Intelligence and AI Governance Spotify: https://open.spotify.com/show/033dvhzMIcWLdY7IUgsu7F Apple Podcasts: https://podcasts.apple.com/us/podcast/id1896506152 Amazon Music: https://music.amazon.com/podcasts/923d1a79-533f-4623-bae3-e2ba83453dfb YouTube playlist: https://www.youtube.com/playlist?list=PLchpU2bIYoEEBh2hdY-BVP9ckyTPiHOAQ Generated using NotebookLM. Content may have inaccuracies. For full detail refer to the original paper, document, or article. These are AI generated under NotebookLM as audio overviews not polished products. #AIassisted using the HAIA Ecosystem | CC BY-NC-SA 4.0 Free for personal, educational, and noncommercial research use with attribution. Commercial exploitation, paid productization, and enterprise commercialization require separate permission and licensing.

    AGI Hype, a Year Later: Superintelligence and Who Answers for AI

  3. 5d ago

    When AI Policy Becomes an Accessibility Barrier

    If AI is a disability tool, are the rules restricting it unethical at best and illegal at worst? The hosts walk through a pending smart-glasses case, why institutions restrict AI, the six types of AI policy risk, who the law reaches, the disclosure penalty, the EU AI Act's narrow exemption, and the seven-gate accommodation screen. They close on a model clause institutions already use in practice. This is the companion episode to When AI Becomes Assistive Technology. Read the Paper Here: https://basilpuglisi.com/ai-policy-accessibility-barrier/ https://doi.org/10.5281/zenodo.22940225 Podcast: The Other AI: Audio Briefings on Augmented Intelligence and AI Governance Spotify: https://open.spotify.com/show/033dvhzMIcWLdY7IUgsu7F Apple Podcasts: https://podcasts.apple.com/us/podcast/id1896506152 Amazon Music: https://music.amazon.com/podcasts/923d1a79-533f-4623-bae3-e2ba83453dfb YouTube playlist: https://www.youtube.com/playlist?list=PLchpU2bIYoEEBh2hdY-BVP9ckyTPiHOAQ Generated using NotebookLM. Content may have inaccuracies. For full detail refer to the original paper, document, or article. These are AI generated under NotebookLM as audio overviews not polished products. #AIassisted using the HAIA Ecosystem

    When AI Policy Becomes an Accessibility Barrier

  4. Sep 25

    AIDA: When AI Becomes Assistive Technology

    Artificially Intelligent Disability Assistance, AIDA, asks when general-purpose AI works as assistive technology. The hosts walk the three-prong functional test, seven cases from blindness to post-traumatic stress, the survey evidence on AI visual description and captioning at work, the case the test excludes, and the dissent from inside the disability community. They close on the author's argument that Augmented Intelligence levels the field, and that for people with disabilities it can return access to the field itself. Read: https://basilpuglisi.com/aida-ai-assistive-technology/ https://doi.org/10.5281/zenodo.22908272 Podcast: The Other AI: Audio Briefings on Augmented Intelligence and AI Governance Spotify: https://open.spotify.com/show/033dvhzMIcWLdY7IUgsu7F Apple Podcasts: https://podcasts.apple.com/us/podcast/id1896506152 Amazon Music: https://music.amazon.com/podcasts/923d1a79-533f-4623-bae3-e2ba83453dfb YouTube playlist: https://www.youtube.com/playlist?list=PLchpU2bIYoEEBh2hdY-BVP9ckyTPiHOAQ Generated using NotebookLM. Content may have inaccuracies. For full detail refer to the original paper, document, or article. These are AI generated under NotebookLM as audio overviews not polished products. #AIassisted using the HAIA Ecosystem

    AIDA: When AI Becomes Assistive Technology

  5. Sep 23

    Verified AI: What It Means and Why a Human Must Check the Proof

    Verified AI sounds like a settled idea in 2026, and it is not. This episode traces the term from 1988 research on verifying knowledge-based systems, through the 2016 formal definition, to the 2026 trend in standards, audits, agent identity, and provenance. It sets out a practitioner definition built on records a human can review and accept, and it contrasts that definition with the Proof-of-Control standard for AI agents. Read the full article: https://basilpuglisi.com/verified-ai-history-meaning/ Podcast: The Other AI: Audio Briefings on Augmented Intelligence and AI Governance Spotify: https://open.spotify.com/show/033dvhzMIcWLdY7IUgsu7F Apple Podcasts: https://podcasts.apple.com/us/podcast/id1896506152 Amazon Music: https://music.amazon.com/podcasts/923d1a79-533f-4623-bae3-e2ba83453dfb YouTube playlist: https://www.youtube.com/playlist?list=PLchpU2bIYoEEBh2hdY-BVP9ckyTPiHOAQ Generated using NotebookLM. Content may have inaccuracies. For full detail refer to the original paper, document, or article. These are AI generated under NotebookLM as audio overviews not polished products. #AIassisted using the HAIA Ecosystem

    Verified AI: What It Means and Why a Human Must Check the Proof

  6. Sep 21

    What AI Transformation Actually Requires

    Buying AI is the easy part. This episode of The Other AI walks through the paper What AI Transformation Actually Requires by Basil C. Puglisi, which reframes fifteen commonly cited requirements for AI transformation as operational management requirements. The hosts cover why human in the loop falls short on its own for consequential work, what NIST, ISO, and the EU AI Act actually say about oversight, and how Checkpoint-Based Governance proposes named human authority over both the process and the decision. They also take up the strongest objection, that human oversight can legitimize flawed systems, and the paper's answer. Read the full paper: https://basilpuglisi.com/ai-transformation-requirements/ Podcast: The Other AI: Audio Briefings on Augmented Intelligence and AI Governance Spotify: https://open.spotify.com/show/033dvhzMIcWLdY7IUgsu7F Apple Podcasts: https://podcasts.apple.com/us/podcast/id1896506152 Amazon Music: https://music.amazon.com/podcasts/923d1a79-533f-4623-bae3-e2ba83453dfb YouTube playlist: https://www.youtube.com/playlist?list=PLchpU2bIYoEEBh2hdY-BVP9ckyTPiHOAQ Generated using NotebookLM. Content may have inaccuracies. For full detail refer to the original paper, document, or article. These are AI generated under NotebookLM as audio overviews not polished products. #AIassisted using the HAIA Ecosystem

    What AI Transformation Actually Requires

  7. Sep 18

    The AI HOAX Distraction: Safety, Money, and Which One Is Driving

    In nine days in September 2026, four frontier labs called for a slowdown, the President of the United States called the whole thing a hoax, and two of the largest companies in AI said the market already handles it. This episode works through the argument that the slowdown calls are not evidence governance is working. They are evidence that the same economic force that produced the rush is still in charge, with the sign flipped. Covered in this episode: The nine-day sequence, from Jacob Coxon walking away from his vesting cliff to Jensen Huang telling a Dreamforce audience that market forces already handle the risk. Why the hoax framing is pointing at something real and is still a dead end. The dated exposure curve, from the 2024 insurance exclusions through the Hugging Face breach to the December 9, 2026 European strict liability deadline. Why every stated position aligns with the speaker's balance sheet without proving anyone insincere. Why liability already disciplines but cannot tell a careful deployment from a careless one. Three explanations for the slowdown that require nobody to lie, including the delivery problem the analyst houses called more than a year early. And a narrower proposal than pacing the frontier: slow the autonomy, fund the accountability. Read the full article: https://basilpuglisi.com/ai-hoax Podcast: The Other AI: Audio Briefings on Augmented Intelligence and AI Governance Spotify: https://open.spotify.com/show/033dvhzMIcWLdY7IUgsu7F Apple Podcasts: https://podcasts.apple.com/us/podcast/id1896506152 Amazon Music: https://music.amazon.com/podcasts/923d1a79-533f-4623-bae3-e2ba83453dfb YouTube playlist: https://www.youtube.com/playlist?list=PLchpU2bIYoEEBh2hdY-BVP9ckyTPiHOAQ Generated using NotebookLM. Content may have inaccuracies. For full detail refer to the original paper, document, or article. These are AI generated under NotebookLM as audio overviews not polished products. #AIassisted using HAIA Ecosystem

    The AI HOAX Distraction: Safety, Money, and Which One Is Driving

  8. Sep 16

    Score the Post and the Picture: Inside HAIA-SMART

    A post can say exactly what its author meant and still stop no one in the feed, and the image beside it can look like every other post on the subject. This episode walks through HAIA-SMART, the Social Media AI Rating Tool, which scores a social post and its visual before either goes live, then stops and leaves the decision to publish with a person. Read the full article: https://basilpuglisi.com/haia-smart/ Podcast: The Other AI: Audio Briefings on Augmented Intelligence and AI Governance Spotify: https://open.spotify.com/show/033dvhzMIcWLdY7IUgsu7F Apple Podcasts: https://podcasts.apple.com/us/podcast/id1896506152 Amazon Music: https://music.amazon.com/podcasts/923d1a79-533f-4623-bae3-e2ba83453dfb YouTube playlist: https://www.youtube.com/playlist?list=PLchpU2bIYoEEBh2hdY-BVP9ckyTPiHOAQ Generated using NotebookLM. Content may have inaccuracies. For full detail refer to the original paper, document, or article. These are AI generated under NotebookLM as audio overviews not polished products. #AIassisted using the HAIA Ecosystem

    Score the Post and the Picture: Inside HAIA-SMART
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About

The Other AI turns Basil C. Puglisi's articles, white papers, and policy briefs into audio briefings on AI governance, augmented intelligence, human judgment, and human-AI collaboration. The format is built for the time and conditions in which people actually learn, whether running, driving, riding a train, or working on something else. Episodes are AI-narrated for clean, consistent production, and human review approves each publication before release. The complete original work, including details, sources, and citations, lives at basilpuglisi.com. Topics include HAIA-RECCLIN, Factics, Checkpoint-Based Governance, enterprise AI adoption, AI policy, cognitive enhancement, and the future of human authority over automated systems. This podcast is for executives, researchers, consultants, educators, policy thinkers, and AI practitioners who want more than AI hype. The show focuses on evidence, dissent, governance, measurable outcomes, and the role of human judgment when machines become more capable.

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