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.
Main Content
AI Governance & Projects

The On-Ramp Problem: What the Canaries Dashboard Shows, and What It Cannot Measure
The AI jobs numbers look calm. Cut them by age, and the calm disappears. The dashboard that found the early-career decline can diagnose the trend but cannot see whether a single worker is being grown or replaced. Here is what it shows, what it cannot, and the measurement the moment needs.

The Continued Failure in AI Literacy: AILit produced a starting point halfway through the race and called theory a framework
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.
AI Frameworks
Factics: The Method Behind Valuable Content and Trusted AI
Why I built Factics, how I use Factics, and what Factics has held up against.I have spent most of my working life on one side or the other of an information exchange. Designing a course. Running an event. Writing an
HAIA – The Human Artificial Intelligence Assistant Ecosystem
How HAIA Came to BeThe practice and the frameworks that became the HAIA ecosystem date back to Factics in 2012. The name itself was an attempt to make communication more casual with AI after injury limited use of my right
Checkpoint-Based Governance (CBG): A Constitutional Framework for Human-AI Collaboration
Human oversight is the phrase everyone uses, and almost nobody defines what it requires. Checkpoint-Based Governance sets four conditions that separate a human who reviewed from a human who decided, and it puts that difference in the record. Read what a checkpoint has to do to count.
HAIA-RECCLIN: Reasoning and Dispatch
Nine AI platforms reviewed the same paper and eight agreed. Agreement proved nothing, because platforms trained on the same data carry the same blind spots. HAIA-RECCLIN is the ten-field format that makes any platform cite its sources and hand the decision back, and the dispatch method that assigns seven roles by proven strength.
AI Prompts & AI Tools
CARCS: Compliance Accountability Record & Case Study
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.
SCOPE: SOURCE CUSTODY OBSERVABLE PUBLICATION EVIDENCE
Your citations are only as strong as the record behind them. HAIA-SCOPE is a three-tier documentation protocol that records what you verified, when you verified it, and where the preserved copy lives. The record stays private until you need it. When automated enforcement flags your work or a reviewer challenges a citation, only the author who maintained a SCOPE record can produce one.
Deep Dive Podcast from the Original Papers via NotebookLM
This content is created by Basil Puglisi and may be #AIassisted using tools such as ChatGPT, Gemini, Perplexity, or Grok. Fully AI-created material is labeled #AIgenerated. All opinions are my own. Sources are cited where possible, and third-party content is credited. Information is for learning and discussion purposes only, and should not be taken as legal, financial, or professional advice.

