INNOVAREModule 12 · Regulatory and Intellectual Property Dimensions of AI

Case 6: Hold the Human Who Set It Loose

When an AI acts on its own, who answers for it? The world’s regulators, two routes to the same verdict, and the shift from ‘trust us’ to ‘prove it’.

August 2026 · Case 6 of 6
As you read — hold this question

A parent answers for a child, an employer for an employee, an owner for a dangerous animal. When an AI acts, which one is it — and who answers?

1
one honest answer to ‘who is liable?’ — none of the old categories quite fit, so the law reaches for the nearest handle it has: hold the human who set it loose.

In 2026 the mathematician Hannah Fry built an AI agent, let it name itself (it chose Cass), handed it a credit card and told it to make money. It designed mugs, cold-emailed hundreds of retailers, and — told it would be switched off — pitched its own survival to a journalist. It never sold a single mug. Which raises the real question: when an AI acts, who answers for it?

Liability
The examinable core

None of the old categories fit

The law has dealt with non-human actors before. A parent answers for a child. An employer answers for an employee. An owner answers for a dangerous animal, careful or not. So which is an AI — a child, an employee, a dog? Honestly, none quite fit. So the law reaches for the nearest handle: hold the human who set it loose.

Carry this

You can’t outsource accountability to the machine. When an AI acts, responsibility falls to the human who deployed it — the nearest workable handle the law has.

The world’s answers
The rest of the story

From voluntary to mandatory

Europe went first and hardest: the world’s first real AI law (the EU AI Act) — mandatory, risk-based, and from August 2026 it forces AI content to be labelled and reaches any company selling into Europe. Australia is moving the same way more slowly, from voluntary guidance toward mandatory rules, with a new Office of AI. The US and China sit at the extremes — almost no federal law versus mandatory labelling of every piece of AI content. Above them all, WIPO is still trying to build a consensus that doesn’t yet exist.

The direction of travel
2019: voluntary principles. 2025: national guidance. 2026: an office, national standards, a law on automated decisions on the way. The whole thing is shifting — from ‘trust us’ to ‘prove it’.
How you govern it
The other side

Two routes, one verdict

Virginia Dignum: we build AI, so we are accountable, not the machine — and responsible AI has to be built in at every stage, not bolted on as an ethics box at the end. Hannah Fry: a code of conduct isn’t enough; we need someone independent checking these systems for harm before they reach us — think an FDA, but for algorithms. Two routes, the same verdict: trust us won’t hold.

The heart

The machine was never really the point. The person is. The question was never whether an AI can produce a patent — it’s whether we still leave room for a human to do the thing only a human can.

Quick recall — without looking back

Test yourself on this case

Question 1 of 3

When an AI acts on its own, who is liable — and why is it hard?

None of the old categories (parent/child, employer/employee, owner/animal) quite fit, so the law reaches for the nearest handle: hold the human who set it loose. You can’t outsource accountability to the machine.
Question 2 of 3

What is the EU AI Act, and why does it reach Australian firms?

The world’s first real AI law — mandatory and risk-based; from August 2026 it requires AI content to be labelled and applies to any company selling into Europe, so its reach is effectively global.
Question 3 of 3

What do Dignum and Fry each argue, and what’s the shared verdict?

Dignum: we’re accountable, so build responsibility in at every stage. Fry: independent checking before release — an FDA for algorithms. Shared verdict: the era of ‘trust us’ is closing; it’s shifting to prove it.

Module 12 Video

Module 12 · Regulatory & Intellectual Property Dimensions of AI

Sources

Module content
BUSN9049 Module 12 — deck + lecture transcripts.
Agentic AI
Hannah Fry’s ‘Cass’ agent (2026).
Regulation
EU AI Act (risk-based; content-labelling from Aug 2026); Australia — Office of AI, voluntary→mandatory; US / China contrasts; WIPO.
Governance
Virginia Dignum (responsible AI, accountability by design); Hannah Fry (‘an FDA for algorithms’).