AI copyright

AI Copyright Debate and the Inevitable Knowledge Transmission Argument for LLMs and Future AI

November 9, 2026 by Basil C. Puglisi Leave a Comment

Copyright protects expression, and the AI training cases now ask whether it also reaches what people and machines learn from it.

Basil C. Puglisi names the Inevitable Knowledge Transmission Argument and tests it against Bartz v. Anthropic, Thomson Reuters v. ROSS, GEMA v. OpenAI, and the 56 amicus briefs filed in the OpenAI litigation. The article separates acquisition, copying, training, memorization, and outputs, sets out two ways to pay creators without licensing learning, and records the strongest dissent against its own position.

An AI Agent’s Test Scope Needs a Named Signer Before the First Run #AIg

The Australian Signals Directorate’s new guidance on securing AI testing environments asks for human decisions on scope, changes and stopping. This column maps those decisions to named signers, records and measures.

Australia’s Planned Frontier AI Incident Reporting Still Depends on a Decision Inside Each Company #AIg

Australia announced mandatory protections for frontier AI companies, including a regulator, independent evaluation, and rapid incident notification. Each obligation still depends on a named person inside the company who classifies, signs, and decides whether to continue.

Courts Are Ordering AI Chat Histories Produced, and Deletion Logs Are Now in Dispute #AIg

A Florida federal court allowed discovery of a defendant’s AI conversations in a damages dispute and then ordered consent for providers to release deletion logs. Retention tools are Responsible AI, and the records decision belongs to a named human under AI Governance.

A Draft Taxonomy of Attacks on AI Agents Leaves Risk Tolerance to Each Organization #AIg

NIST’s November 9 draft taxonomy of attacks on AI agents says guardrails must face adaptive attackers, yet it sets no risk tolerance. Each organization needs a named human to sign the residual risk decision for every relevant attack type.

A UK Bill Clause on AI Agent Loss of Control Assumes Someone Held the Control. Can You Show Who? #AIg

The UK government tabled a clause letting regulations give ministers investigatory and enforcement powers when a regulated system’s compromise traces to loss of control of an AI agent. A loss-of-control rule assumes someone held control, so operators should be able to show who held stop authority before any incident.

Europe Plans to Assess AI Literacy in 15-Year-Olds. Who Holds the Checkpoint at School? #AIg

The European Commission will pilot an AI Literacy Certificate for 15-year-olds in the 2027/2028 school year. The framework behind it teaches pupils to set their own checkpoints; the school still needs a named person who signs which AI tools pupils use.

NIST’s Ten Agent Identity Tenets: What Checkpoint-Based Governance Already Carried

NIST published ten agent identity tenets on October 27, 2026. Nine were already in a public record that began in 2012.

This article lays the ten tenets against Checkpoint-Based Governance, the February 2026 GOPEL specification and code, and the Responsible AI desk that was publishing before the tenets appeared. Five match in full, four in part, and one, the agent’s own credential, is defined in the record and not yet issued. The reader gets the dates, the quotes, and the table to check them.