WEBVTT

NOTE
Jane's Ticket: a film about Superjustice. Captions for the narration.

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This is Jane.

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Spotless record, new in town, and holding
a parking ticket she believes is unfair.

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The sign was unclear.

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So she does what a careful person does.

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She contests it.

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Hours on the phone, passed from one
department to the next.

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A written appeal, rejected.

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Then a day off work, and a court a few
hours' drive away.

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Follow her ticket, and you meet ten things
that are wrong with far more than parking.

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It costs too much: time, money, and
energy, for a small dispute.

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It is too far away.

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The rule has no room for a newcomer and a
confusing sign.

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And her ticket may be pursued while others
like it are let go.

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The system resists the tools that would
have prevented all this.

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It ignores what could be known in real
time.

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It is slow.

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It is opaque: Jane never learns who has
her case, or when it will end.

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And a few people decide for everyone.

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Jane kept going.

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Most people would pay the fine and give
up.

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None of this is an accident.

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All ten grow from two roots: a system run
from the centre, and work that takes

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expensive expert time.

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So run it again.

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Jane photographs the sign and asks her AI
agent to appeal.

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A prompt, transparent decision comes back.

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If the sign really was unclear, the fine
is dismissed, or cut to fit her

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circumstances.

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Either way, she knows why.

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Same Jane.

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Same ticket.

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A different design.

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This is Sarah.

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Every morning she is woken by the birds in
her neighbour Tom's old oak tree.

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Its branches hang over her garden.

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She asks Tom to trim it.

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Tom loves the birds, and the shade.

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He says no.

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She offers to split the cost, tries
mediation, suggests birdhouses.

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Nothing works.

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And a lawyer, steep fees, and months of
delay, for a few branches, feels absurd.

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You may side with Sarah.

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Or with Tom.

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Either way, neither can get an answer
worth its cost.

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Law became centralized for good reasons:
one authority, and the same rules for

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everyone.

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But there is another way: a hybrid.

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Keep the centre for the principles and
rights that must hold everywhere.

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Move everyday disputes closer to the
people in them.

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So Sarah tells her AI agent what she
wants: quiet mornings.

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Tom's agent protects his tree.

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Bargaining through agents costs far less,
so they find what the neighbours never

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did: a price both can accept.

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Sarah would pay up to $300.

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Tom would take $250 to trim certain
branches.

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And if it has to be decided?

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Where the rule is clear, an answer comes
in minutes.

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Where it is vague, arbitrators from their
own community weigh in, and it takes days.

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Not months.

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They might settle on trimming part of the
tree.

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Or on keeping the birds at a distance.

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One more question: who speaks for the
birds, and for the oak?

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And the centre still stands: rights no
local majority can override, a right to

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appeal, and an agent provided for anyone
who cannot pay for one.

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Sarah and Tom are still neighbours.

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It is 2050.

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An entrepreneur accuses a global tech
company of stealing an invention.

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Two AI agents argue the case.

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An AI arbitrator decides it in seconds.

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To some, a marvel.

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To others, unsettling.

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Who chose its values?

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Can anyone ask a human to look again?

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Those are the right questions.

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A faster version of the old system is not
the goal.

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So here is a way to tell the difference.

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It borrows a name from gene editing:
CRISPR, a tool that fixes one fault

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precisely and leaves the rest intact.

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CRISPR-J asks six things of any redesign.

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Hold them against Jane's ticket.

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Did it cost her less than the fine?

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Was it settled the same day?

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Did it make room for a newcomer?

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Did it use the photo of the sign?

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Was the sign fixed for the next driver?

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And will it stay fair as things change?

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None of this is a cure-all.

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AI learns from the past, and can repeat
its biases, or enlarge them.

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It can cite a case that does not exist.

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So people stay at the centre.

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There is a right to appeal, and human
oversight where the stakes are high.

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The book behind this film ends by turning
the question around.

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Not: what will AI do to law?

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But: what do we want it to do?

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That takes will, more than technology.

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From justice that is scarce to justice
that is abundant.

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By humans, for humans, with AI.

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The book is Superjustice.
