• 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
  • RECCLIN
  • CAIPR
  • HEQ/AIS
  • AI Policy
    • ISO AI Governance Comment

Basil C. Puglisi

Digital Strategy, Content, and AI Since 2009

  • About Me
    • My Story
      • Teaching, Speaking, and Panels
  • Governing AI
  • Digital Factics X
  • Minds That Bend The Machine
  • Digital Factics Instagram
  • AI – Artificial Intelligence
    • Ethics of AI Disclosure
    • AI Learning
      • AI Course Descriptions

EU AI Act

When AI Policy Becomes an Accessibility Barrier

September 25, 2026 by Basil Puglisi Leave a Comment

Timeline of key AI policy, disability law, and platform events from January 2025 through December 2026

If AI is a disability tool, are the rules restricting it unethical at best and illegal at worst?

This companion working paper maps which United States laws reach which institutions and classifies six types of AI policy risk, from outright bans to detection tools. It works a pending smart-glasses case, compares the EU AI Act, and closes with a model accommodation clause any institution can adopt.

Filed Under: AI Artificial Intelligence, AI Policy Regulation, AI Risk, Business, Enterprise AI, Multi-AI Governance, Policy & Research, Thought Leadership Tagged With: accessibility, AI detection, AI disclosure, AI Governance, AI Policy, AIDA, Americans with Disabilities Act, anti-AI policy, Artificially Intelligent Disability Assistance, Checkpoint-Based Governance, disability law, EU AI Act, reasonable accommodation

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

September 17, 2026 by Basil Puglisi 3 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

Europe Withdrew Its AI Liability Directive, and the Exposure It Left Behind Is Larger

July 5, 2026 by Basil Puglisi Leave a Comment

Two-law split showing the withdrawn AI Liability Directive and the revised Product Liability Directive reaching software and AI.

Europe withdrew its AI liability directive, and many executives read relief into the news. The surviving Product Liability Directive tells a different story, reaching software and AI with strict liability and presumptions that reward the documented company. This analysis maps what changed, who carries the exposure across providers and deployers, and the record that answers a claim.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, AI Risk, Multi-AI Governance, Policy & Research, Thought Leadership Tagged With: AI Governance, AI Liability, Checkpoint-Based Governance, EU AI Act, EU AI Regulatio, GDPR Article 22, Product Liability Directive, Strict Liability

The Continued Failure in AI Literacy: AILit produced a starting point halfway through the race and called theory a framework

June 21, 2026 by Basil Puglisi Leave a Comment

An open classroom doorway leads to a checkpoint gate, a low marker beneath a dashed floor line and a taller gate above.

A new OECD and European Commission framework will shape how a generation learns to use AI, and it feeds the PISA 2029 assessment. It names the method that produces learning, and then it makes every step toward that method optional. Read why that choice matters, and what a checkpoint that actually binds a decision requires.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, Conferences & Education, Multi-AI Governance, Policy & Research, Thought Leadership, Working Papers Tagged With: AI Governance, AI Literacy, AILit Framework, Checkpoint-Based Governance, cognitive offloading, education policy, EU AI Act, human oversight, OECD, PISA 2029

The Liability Map: The Three Channels Through Which AI Creates Legal Exposure

June 13, 2026 by Basil Puglisi Leave a Comment

Three converging pathways in red, gold, and indigo resolving into a single glowing record of AI governance accountability.

Most organizations track AI risk by watching for new laws. The exposure does not wait for them. AI legal liability runs through regulatory enforcement, civil and product liability, and insurance at the same time, and all three demand the same thing: a record that a named human governed the AI and verified its work. This piece maps the three channels and names the one artifact that answers all of them.

Filed Under: AI Artificial Intelligence, AI Governance, AI Policy Regulation, AI Risk, Business, Enterprise AI, Multi-AI Governance, Policy & Research Tagged With: AI Governance, AI legal exposure, AI liability insurance, Checkpoint-Based Governance, Colorado AI Act, EU AI Act, insurance exclusion, product liability

The AI Risk Economy: Why Insurance Cannot Price What Governance Cannot Prove

May 24, 2026 by Basil Puglisi 2 Comments

Balance scale weighing AI technology against governance documents in a corporate setting, representing insurability.

Insurance carriers are writing the rules of AI governance before legislators finish debating them. This working paper proposes a five-tier model that maps where organizations fall on the spectrum from excluded to insurable, identifies the actuarial gap at the center of the emerging practice, and documents the carrier evidence, regulatory signals, and market products that are forcing the distinction between governed and ungoverned AI into the open.

Filed Under: AI Artificial Intelligence, AI Governance, Business, Data & CRM, Digital Factics Blog, Enterprise AI, Multi-AI Governance, Policy & Research, Thought Leadership, Working Papers Tagged With: actuarial gap, AI Governance, AI liability insurance, Checkpoint-Based Governance, Economic Override, EU AI Act, five-tier model, insurance exclusions, NAIC AI Model Bulletin, Responsible AI

CARCS:合规性问责记录与案例研究

April 23, 2026 by Basil Puglisi 4 Comments

CARCS governance record showing fragmented AI session traces resolving into a structured ten-section audit record through a human checkpoint.

AI work leaves plenty of trace. The problem is that those traces are scattered across platforms, organized around conversation flow, and not structured around the questions an audit actually asks. CARCS closes that gap with a ten-section governed record built from a three-part prompt suite. It works on any AI platform. Named human sign-off is required before finalization. This working paper releases the protocol for feedback and collaboration from governance practitioners, compliance officers, and researchers.

Filed Under: AI Artificial Intelligence, AI Governance, Compliance Accountability Record & Case Study, Multi-AI Governance, Policy & Research, Thought Leadership, White Papers Tagged With: AI documentation protocol, AI Governance, audit trail, CARCS, Checkpoint-Based Governance, compliance documentation, EU AI Act, HAIA, HAIA-CARCS, Heppner ruling, human oversight, SHA-256, Working Paper

Enterprise AI ROI: What Seven Landmark Reports Found, What They Missed, and Five Decisions Worth Making Now

April 2, 2026 by Basil Puglisi Leave a Comment

Five governance decisions that close the enterprise AI ROI gap — named ownership, pilot gating, net productivity measurement, workflow redesign, and sovereign AI mapping

Type: Research Synthesis | Executive White Paper Period Covered: 2025–2026 Primary Sources: Accenture (2025) | Deloitte AI ROI Survey (Oct. 2025) | Deloitte State of AI in the Enterprise (Jan. 2026) | Google Cloud ROI of AI (2025) | McKinsey State of AI (Nov. 2025) | Microsoft Becoming a Frontier Firm (2025) | OpenAI State […]

Filed Under: AI Artificial Intelligence, AI Governance, Business, Business Networking, Data & CRM, Enterprise AI, Multi-AI Governance, Policy & Research, Thought Leadership, White Papers, Workflow Tagged With: Accenture, AI Governance, AI ROI, AI Strategy, CBG, Checkpoint-Based Governance, Deloitte, Economic Override Pattern, enterprise AI, EU AI Act, Factics, google cloud, HAIA-RECCLIN, McKinsey, microsoft, NBER, openai, Physical AI, Pilot Purgatory, Responsible AI, Sovereign AI, Workflow Redesign

AI Governance Has No Formal Definition. Here Is One.

March 14, 2026 by Basil Puglisi 2 Comments

A single human figure standing at a governance checkpoint with hand raised, halting a flowing stream of AI outputs. Five pillars representing international standards frameworks stand behind the figure. Navy and gold color palette in clean architectural editorial style.

No standards body has defined AI Governance. No regulation locks it. After reviewing every major framework, here is the definition the field is missing. The phrase “AI Governance” appears in international treaties, executive orders, corporate reports, and academic handbooks. More than 40 countries have adopted governance principles through the OECD. The European Union built an […]

Filed Under: AI Artificial Intelligence, AI Governance, Multi-AI Governance, Policy & Research, Thought Leadership Tagged With: AI accountability, AI compliance, AI ethics, AI Governance, AI Governance Defined, AI Governance Definition, AI Policy, AI risk management, AI Standards, Basil Puglisi, CBG, Checkpoint-Based Governance, Define AI Governance, EU AI Act, Governance Washing, HAIA-RECCLIN, human oversight, Human-AI Collaboration, ISO 37000, ISO 38507, ISO 42001, NIST AI RMF, OECD AI Principles, Responsible AI, UNESCO 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 Puglisi Leave a Comment

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

Next Page »

Primary Sidebar

Subscribe via Email

Join 9,586 other subscribers
iDBasil C. Puglisi on ORCID

Buy the eBook on Amazon

这是一则关于《当能力超越控制时的人工智能治理》一书的横幅广告
在亚马逊购买《数字事实》一书

Advanced Site Search

Categories

  • Digital Factics Blog (731)
  • Social Media Topics (252)
  • Branding & Marketing (250)
  • Conferences & Education (248)

Tags

  • Visibility (251)
  • Social Media (237)
  • Visibility Marketing (168)
  • Social Brand (156)
  • brand (137)

Year

  • 2026 (98)
  • 2025 (80)
  • 2024 (79)
  • 2023 (37)
  • 2022 (15)

Multi-AI Governance

HAIA-RECCLIN推理和调度第三版免费白皮书宣传图片,包含3D书籍模型和下载按钮,2026年3月,basilpuglisi.com

Responsible AI (#AIgenerated by Agents)

AI Literacy Splits Three Ways: China’s Mandate, Maryland’s Clock, and Code You Can’t Trust #AIg

Always-On Agents Meet Full-Stack Control: OpenAI Dots and NVIDIA Safety #AIg

Two Oversight Gates in 48 Hours: Federal Digital Commission vs AI Safety Board #AIg

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

Trump Renames Federal AI Language to Super Intelligence #AIg

The Search Tightrope in Plain View: What Liz Reid Just Told Us About Google’s AI Future

Spam Updates, SERP Volatility, and AI-Driven Search Shifts

More Posts from this Category

SAVE 25% on Governing AI, get it Publisher Direct

人工智能治理书籍在书店

Save 25% on Digital Factics X, Publisher Direct

Digital Factics X

#SMAC #SocialMediaWeek

Basil社交媒体周

Legacy Print:

数字事实:Twitter

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