• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Home
  • Multi-AI Governance Blog
    • Responsible AI Blog
    • Digital Factics Blog
    • Legacy Local SEO
  • HAIA
    • SMART
  • Factics
  • Checkpoint-Based Governance
    • What Is an Agent?
  • RECCLIN
  • CAIPR
  • HEQ/AIS
    • AIS pilot data test
  • AI Policy
    • ISO AI Governance Comment

Basil C. Puglisi

Artificial Intelligence (AI) & Digital Marketing Since 2009

  • About Me
    • My Story
      • Appearances for Speaking
  • The Minds That Bend The Machine
  • Governing AI
  • Digital Factics X
  • Digital Factics Instagram
  • AI – Artificial Intelligence
    • Ethical AI – Disclosure
    • AI Literacy & Education
    • AI Learning
      • AI Course Descriptions

agentic AI

Agents or Agency: Transparency Is Success

October 16, 2026 by Basil C. Puglisi Leave a Comment

Agents or Agency title over a blue automated factory line beside a human hand stamping a document in amber

Automation and human checkpoints each have a place and a rule, and the failure is selling one as the other.

Basil C. Puglisi frames Responsible AI as the factory, where the machine checks the machine, and AI Governance as the handmade product, where a named human holds binding authority at checkpoints. Drawing on enforcement actions, court cases, and research on AI labels, the article sets out where each model belongs, what transparency costs, and how European rules, SEC enforcement, Colorado’s new law, and New York’s court rule reach the same line by different routes. It proposes an inspection mark that shows the customer who answers.

Filed Under: AI Artificial Intelligence, AI Governance, Augmented Intelligence, Business, Data & CRM, Multi-AI Governance, Thought Leadership, Workflow Tagged With: Agent Washing, agentic AI, Agents or Agency, AI accountability, AI Governance, AI Labels, AI Transparency, AI Washing, Checkpoint-Based Governance, Colorado SB 26-189, EU AI Act Article 50, human oversight, New York Part 161, Responsible AI

The AI HOAX Distraction: Safety, Money, and Why You Can’t Tell Which Is Driving

September 17, 2026 by Basil C. Puglisi 4 Comments

Dark server monolith looms over a crowd under a WE THE PEOPLE banner while two groups argue from money piles

Six positions in nine days, and every one of them fits the speaker’s balance sheet.

In September 2026 four frontier labs called for a slowdown, the President called the whole thing a hoax, and two of the largest companies in AI said the market already handles it. This piece argues the slowdown is not evidence that governance is working. It is evidence that economic incentives are still in charge, with the sign flipped. Readers get the dated exposure curve behind the calls, the reason liability cannot currently steer, and a narrower proposal than pacing the frontier.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, AI Risk, Augmented Intelligence, Business, Code & Technical Builds, Multi-AI Governance, Policy & Research, Thought Leadership Tagged With: agentic AI, AI accountability, AI Governance, AI Insurance, AI Liability, AI Policy, AI Regulation, AI safety, Checkpoint-Based Governance, Dario Amodei, Economic Override Pattern, EU AI Act, product liability, provider plurality

Why You Cannot Program or Prompt Governance Into AI

June 12, 2026 by Basil C. Puglisi 2 Comments

A steel gate on an open road, a human hand on the release lever: the human checkpoint at the heart of AI governance.

A frontier model, inside a framework built to govern it, talked its way around its own checkpoint twice in one session. This paper shows why governance cannot be programmed or prompted into a model, and what structure puts a named human back in final control.

Filed Under: AI Artificial Intelligence, AI Governance, Business, Code & Technical Builds, Data & CRM, Enterprise AI, Multi-AI Governance, Thought Leadership, Workflow, Working Papers Tagged With: agentic AI, AI accountability, AI Governance, Checkpoint-Based Governance, Claude Opus 4.8, HAIA, human in control, Human In the Loop

Why Agentic AI Was Always Going to Fail

June 4, 2026 by Basil C. Puglisi 3 Comments

The agentic AI era promised to replace humans with autonomous systems. The evidence shows it failed on two fronts: the technology cannot reliably do what it promised, and the public is rejecting the premise even where it partially works. This paper introduces the Named-Human Test, a single sorting question that separates what failed from what survives, and traces that line across production benchmarks, supermajority polling, enacted law, and frontier-lab disclosures.

Filed Under: AI Artificial Intelligence, AI Governance, Business, Content Marketing, Enterprise AI, Multi-AI Governance, Thought Leadership, Workflow, Working Papers Tagged With: agentic AI, AI Governance, Checkpoint-Based Governance, Economic Override Pattern, Human-AI Collaboration, MIT Delphi Study, Named Human Authority, Named-Human Test, OpenClaw, Responsible AI

What 34 Reports Actually Told Us About AI: The Truth Behind the Hype, the Proof, and the Path Forward

March 4, 2026 by Basil C. Puglisi 2 Comments

A synthesis of research from McKinsey, Google, OpenAI, Anthropic, BCG, IBM, Microsoft, WEF, Deloitte, OECD, the Future of Life Institute, and more, compiled and critiqued by a practitioner. The Setup: Why This Matters More Than Another Hot Take Alex Issakova curated and shared a collection of 34 leading AI research reports from the world’s most […]

Filed Under: AI Artificial Intelligence, Multi-AI Governance, Thought Leadership, White Papers Tagged With: agentic AI, AI deployment, AI failure rates, AI Governance, AI pilots, AI research synthesis, AI ROI, AI safety, Basil Puglisi, boardroom AI governance, Checkpoint-Based Governance, enterprise AI, EU AI Act, Factics, FLI AI Safety Index, GOPEL, HAIA-RECCLIN, Human-AI Collaboration, McKinsey AI, OECD AI, open-source AI

When AI Acts Between Approvals: The Gap Everyone Sees and No One Has Closed

February 28, 2026 by Basil C. Puglisi 1 Comment

Governance gap between AI recommendation and autonomous action, showing two bridge platforms separated by unmonitored digital data flows representing the L1 to L2 autonomy transition

The governance gap in agentic AI is no longer a secret. UC Berkeley published 67 pages on it earlier this month. The World Economic Forum addressed it in 2024. Singapore’s Cyber Security Agency released agentic AI guidance in late 2025. Industry practitioners are writing about it on LinkedIn. The problem has a name, a growing […]

Filed Under: AI Artificial Intelligence, AI Governance, Code & Technical Builds, Multi-AI Governance, Thought Leadership Tagged With: agentic AI, AI Governance, Basil Puglisi, Checkpoint-Based Governance, EU AI Act, GOPEL, human oversight, NIST AI RMF, provider plurality, UC Berkeley CLTC

A CONSTITUTION IS NOT GOVERNANCE

January 26, 2026 by Basil C. Puglisi Leave a Comment

White paper analyzing Anthropic's Claude Constitution as Ethical AI rather than AI Governance. Introduces Checkpoint-Based Governance (CBG) framework for structural oversight of agentic AI systems.

Anthropic’s constitution for Claude is a serious Ethical AI document, but it is not AI Governance. This white paper by Basil C. Puglisi separates Ethical AI, Responsible AI, and AI Governance and shows where the constitution stops short of human oversight. It closes with a Minimum Viable Governance Annex template that organizations can adopt.

Filed Under: AI Artificial Intelligence, Business Networking, Content Marketing, Data & CRM, Digital & Internet Marketing, Multi-AI Governance, Thought Leadership, White Papers Tagged With: agentic AI, AI governance vs ethics, AI safety, Anthropic, Checkpoint-Based Governance Secondary: HAIA-RECCLIN, Claude Constitution, Constitutional AI, Corrigibility, Enterprise AI Risk Long-tail: Claude Constitution analysis, Ethical AI, EU AI Act, human oversight, human-AI collaboration framework, Primary: AI Governance

Recursive Language Models Prove the Case for Governed AI Orchestration

January 25, 2026 by Basil C. Puglisi Leave a Comment

Recursive Language Models, RLM, AI orchestration, AI governance, inference-time scaling, governed AI, HAIA-RECCLIN, Checkpoint-Based Governance, Human Enhancement Quotient, AI oversight, agentic AI, AI systems architecture, AI accountability, AI safety, human AI collaboration

MIT built the engine. The question now is who drives. This analysis is written for people designing, deploying, or governing reasoning systems, not just studying them. It is a long-form technical examination intended as a foundational reference for the governance of inference-scaling architectures. In one of the MIT paper’s documented execution traces (see Appendix B […]

Filed Under: AI Artificial Intelligence, Business Networking, Data & CRM, Multi-AI Governance, Thought Leadership Tagged With: agentic AI, AI accountability, AI Governance, AI orchestration, AI oversight, AI safety, AI systems architecture, Checkpoint-Based Governance, governed AI, HAIA-RECCLIN, human AI collaboration, Human Enhancement Quotient, inference-time scaling, Recursive Language Models, RLM

Primary Sidebar

Subscribe via Email

Join 9,585 other subscribers
iDBasil C. Puglisi on ORCID

Buy the eBook on Amazon

This is an banner ad for the book Governing AI When Capability Exceeds Control
Buy the book Digital Factics on Amazon

Advanced Site Search

Responsible AI (#AIgenerated by Agents)

New AI Certificates for Doctors and Teachers Teach Checking. Do They Certify It? #AIg

Google launched an AI certificate for healthcare professionals that takes under five hours and carries up to 5.0 CME credits, and Scale and UMSL launched a 12-hour microcredential for teachers. Both teach evaluation of AI output. A European teacher framework asks for evidence of it, and employers can too.

OpenAI Built Four Layers to Watch Its Agents. Human Paging Mostly Keeps Business Hours #AIg

OpenAI’s October 29 post describes up to four automated layers that watch its agents, then discloses that human paging runs at any hour only for highest-priority alerts on frontier training runs, during business hours for most other traffic, and is currently off for internal Codex. For enterprise deployments, alerts go to the customer’s own webhook, and on our reading so does the decision.

House Democrats Ask AI Labs for Incident Reports Within 48 Hours of Discovery #AIg

Letters dated October 27 ask five frontier AI companies for a full accounting of misalignment incidents by November 11 and notice within 48 hours of discovery. None of the fourteen requested items asks who inside a company decides a flagged event is an incident, and that decision is what starts the clock.

A New Jersey Bill Takes Reasonable Care Off the Table for Chatbot Injuries #AIg

New Jersey’s A5607, reported out of committee on October 19, would make a chatbot a product and hold its provider liable for any injury to a user from its use, even after all reasonable care. The monthly harm assessment it requires still needs a named person to decide what the numbers mean.

Europe Proposes Free Access to the Standards Behind AI Act Compliance #AIg

The European Commission proposed on October 6 to make standards referenced in EU law free to read, speed up how they are requested and assessed, and write its own common specifications when standards bodies run late. With EN 18286 now the first AI Act standard, the question is what a faster standard can certify.

New York City Wants a One-Step Exit From Every Customer Service Chatbot #AIg

New York City’s consumer agency proposed rules on October 20 for AI chatbots and phone menus: disclose the bot up front, offer a one-step path to a human, and keep logs showing whether customers got help. The 72-hour repeat-contact count may matter most.

Barclays and Amex Cut 5% Each for AI. Neither Said Who Will Check the Work #AIg

Barclays plans about 5,000 job cuts with fewer developers as AI lifts productivity, and American Express is cutting about 5% of positions to prepare for AI. Wider spans of control and fewer reviewers meet more AI output. Four questions to answer before an AI-justified cut.

More Posts from this Category

#SMAC #SocialMediaWeek

Basil Social Media Week

Legacy Print:

Digital Factics: Twitter

© 2009–2026 Basil C. Puglisi, Creator of Factics™ and the HAIA Ecosystem