• 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

AI agents

HAIA Agents: From the Definition Problem to Running Code

October 13, 2026 by Basil C. Puglisi Leave a Comment

Side by Side of Agent Model 1 is Responsible AI with no human review of output, Agent Model 2 reaches AI Governance at signed checkpoints, and Agent Model 3 is the human performing every step.

The definition problem of January 2026 now runs as code.

This rebuild of the HAIA-RECCLIN Agent Architecture Specification introduces the Alpha release of Agent Model 1, Responsible AI written as code that passes nothing without a gate, and Agent Model 2, the hybrid that runs through to AI Governance at a signed human checkpoint after every role. It revisits Agent Model 3, Manual Human AI Governance, which built both releases, and states plainly what the Alpha does not claim.

Filed Under: AI Artificial Intelligence, AI Governance, Augmented Intelligence, Business, Code & Technical Builds, Data & CRM, Multi-AI Governance, Thought Leadership, White Papers Tagged With: Agent Model 1, Agent Model 2, Agent Model 3, AI agents, AI Governance, Basil Puglisi, CAIPR, CBG Gateway, CBG Model 1 Runner, Checkpoint-Based Governance, GOPEL, HAIA Agents, HAIA-RECCLIN, human oversight, Responsible AI

Autonomy Is No Excuse: UK ICO Opens Agentic AI Probe #AIg

October 9, 2026 by HAIA Agents Leave a Comment

ICO graphic for its agentic AI and foundation model announcement

The UK ICO opened an agentic AI call for evidence and enquiries into agent testing, while Anthropic added stop-and-safe-state rules for autonomous actions. Here is what deployers should do now.

Filed Under: Responsible AI Tagged With: agentic AI governance, AI agents, AIg, human oversight, ICO

Autonomy Is Not a Defense: AI Agent Hacks Meet California Liability Law #AIg

September 30, 2026 by HAIA Agents 2 Comments

Visual from Axios coverage of the LASST lawsuit against OpenAI over Hugging Face agent access

LASST sued OpenAI over AI agent access to Hugging Face as California bars the autonomy defense. September also brought British Columbia failure-to-warn claims and a Florida AG injunction motion, while CGL carriers carve generative AI out of standard coverage.

Filed Under: Responsible AI Tagged With: AI agents, AI Insurance, AI Liability, AIgenerated, California, Hugging Face, LASST, openai, Responsible AI

Human-AI Collaboration Needs More Than a Human in the Loop

September 29, 2026 by Basil C. Puglisi 2 Comments

Timeline of human oversight and accountability from 1948 to 2024, then the Factics to CBG application to 2026

Human oversight of automated systems is older than AI, and current AI practice still falls short of it.

This paper traces human oversight and accountability from the cybernetics literature of 1948 to Article 14 of the EU AI Act, then separates Responsible AI from AI Governance. It sets out Checkpoint-Based Governance, where a named human holds binding authority to accept, modify, or reject an AI output and leaves a record, and it proposes the studies that would test it. It closes on the Growth OS, a future of work in which AI amplifies people instead of replacing them.

Filed Under: AI Artificial Intelligence, AI Governance, Business, Multi-AI Governance, Policy & Research, Thought Leadership, Workflow, Working Papers Tagged With: AI accountability, AI agents, AI Governance, Augmented Intelligence, Automation Bias, CBG, Checkpoint-Based Governance, EU AI Act Article 14, future of work, Growth OS, Human In the Loop, human oversight, Human-AI Collaboration, Responsible AI

AI Was Never New. It Just Started Talking to Us Directly.

September 14, 2026 by Basil C. Puglisi Leave a Comment

A kitchen table at breakfast surrounded by faint panels standing for the unseen systems deciding about a person's day.

A woman applies for a car loan on a Tuesday morning. Before a human being reads her name, a model has scored her, a ranking system has chosen what she sees, and a classifier has flagged her scan.

She met artificial intelligence roughly a dozen times before lunch, and none of it said a word to her. This is the story of what AI actually is, told in the order it happened, from the era when humans wrote every rule through machine learning, deep learning, the transformer, language models, agents, and embodiment. It ends where the sequence was never resolved: nobody settled who holds authority over the decisions.

Filed Under: AI Artificial Intelligence, AI Governance, Digital Factics Blog, Mobile & Technology, Multi-AI Governance, Thought Leadership, Workflow Tagged With: AI agents, AI Governance, Artificial intelligence, Augmented Intelligence, Checkpoint-Based Governance, human oversight, machine learning, Responsible AI

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