Artificial Intelligence (AI) & Digital Marketing Since 2009
A fluent explanation is not a record, and regulated AI decisions need a record.
This article argues that AI compliance starts with accountability, with policy graphs and solvers as one route to a traversable trail. It reports what GraphCompliance, solver-backed legal analysis, and two recent preprints find, maps the GDPR, EU AI Act, and Regulation B duties, and sets out the two human checkpoints that turn a trail into AI Governance.
The question every AI user hears at the table, answered with a story.
Teresa drafts grant proposals with a machine. Her brother-in-law Dale has never typed a prompt and asks why someone intelligent would. Her answer runs through Tron, Jurassic Park, and two versions of The Shining, and lands on the three old reasons people refuse a new tool: jealousy, fear, and prejudice. Verified history, invented people, one backyard argument.
Chat made AI legible to every board, and robots that see, plan, and act now make it consequential.
Frontier capital now treats robot learning, autonomous science, and new interfaces as the next compounding domains beyond language and code. Tesla’s Optimus and Robotaxi record shows how far demonstrations still sit from deployment, so this analysis sets out how to fund physical AI pilots with preregistered measures, a classical baseline, engineered safety, an operating-mode ledger, and a named human who decides.
