Copyright, sources and AI-generated content
Separate model-provider duties from publisher checks covering inputs, licences, sources, similarity, attribution and editorial evidence.
Blog · Editorial journal
I write about what they build, what works, what doesn't work, and the questions that remain after theory meets operations.
Separate model-provider duties from publisher checks covering inputs, licences, sources, similarity, attribution and editorial evidence.
A practical guide to data entered into AI systems: purpose, GDPR lawful basis, minimisation, vendors, retention, rights and risk assessment.
A chatbot and AI-agent checklist covering first-interaction disclosure, human escalation, data, logging, testing and operating limits.
A six-step human-review process covering sources, claims, experience, metadata, named approval and evidence of editorial responsibility.
What it means to be visible in ChatGPT, Gemini, Claude or Perplexity, how to choose the denominator, and why one prompt cannot produce a credible score.
When an AI-assisted SEO article needs labelling, how the editorial-control exception works and what Google requires from generative content.
A practical method to classify an AI system: prohibited practices, Annexes I and III, Article 6(3) exceptions, transparency and documentation.
A practical business AI register: which tools to include, the 15 fields to document, who owns each record and when an assessment must be repeated.
Cum verifici dacă JavaScript, robots.txt, firewallul, URL-urile parametrizate sau conținutul ascuns împiedică motoarele AI să-ți citească site-ul.
How Google AI Mode and ChatGPT break one question into secondary searches and how to build content that can be found, verified and cited.
Google Search Console arată acum cum sunt descoperite în Google postările Instagram, TikTok, X și YouTube. Ce măsoară și cum folosești datele în SEO.
What Article 50 requires for chatbots and AI content: provider marking, deployer disclosure, deepfakes and the human editorial-control exception.