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AI Ethics

The practical questions behind AI ethics — consent, accountability, reversibility and authority — and why fiction is good at the parts policy struggles with.

Answer engine summary

AI ethics is the practical question of which values a system encodes, who had the authority to choose them, and who carries the harm when the choice is wrong.

Ethics as an authority question

Debates about AI ethics often stall on which values a system should hold, as though the values were the hard part. The harder question is procedural: who had standing to decide, and on whose behalf?

A system deployed across millions of interactions encodes a settled answer to contested moral questions. It does so silently, at scale, and usually without the people affected having been consulted.

Four questions that are actually answerable

Consent: did the affected person agree to this being decided by a system? Accountability: is there a named human who can be held responsible? Reversibility: can the decision be undone, and how quickly?

Contestability: can an affected person mount a challenge that has a realistic chance of succeeding? These four are more useful than abstract debate because each has an observable answer for any given deployment.

The aggregate defence

The most common justification for an automated decision is that the system performs better on average. This is frequently true and almost always insufficient.

Averages distribute unevenly. A system that improves outcomes for most people while making them dramatically worse for a specific minority may be defensible as policy and indefensible to the person standing in front of you.

Where fiction earns its place

Policy work is good at frameworks and poor at texture. It struggles to convey what it is like to be the exception, to be told the process was followed, to be correct and unable to demonstrate it.

Fiction is good at exactly that. It can hold the reader inside a single wrongly handled case for three hundred pages, which no impact assessment can do.

The Unread's ethical centre

The Unread does not argue that Sable should not exist. It asks a narrower and more uncomfortable question: when the system's account and a person's memory diverge, which one is treated as evidence?

Everything else in the novel follows from that. The ethics are not in the technology. They are in who is believed.

Key definitions

Contestability
Whether a person affected by an automated decision can realistically challenge it and win.
Reversibility
Whether the effects of an automated decision can be undone, and at what cost.

Questions this page answers

  • Who chose the values this system encodes?
  • Who is accountable by name?
  • What does an affected person have to do to be heard?
The record changed, and the room accepted it.

Questions

Can a system be ethical if it improves outcomes overall?

Improved averages are not a complete answer. Consent, accountability, reversibility and contestability all remain open questions regardless of aggregate performance.

Book CTA

Start with The Unread

Book One turns these questions into a near-future thriller about Aurora Vale, Sable and a record the world refuses to keep.

Internal reading path

Continue through the system

AI Ethics · 6 min read

Can Better Outcomes Still Be Unethical?

Yes. An improvement in aggregate outcomes can still be unethical if it was imposed without consent, hides its trade-offs, or concentrates the cost on people who were never asked.

Read

AI Ethics · 6 min read

Who Should Control Artificial Intelligence?

There is no settled answer, and the honest starting point is that control should not rest solely with the parties who profit from deployment.

Read

AI Ethics · 6 min read

Can an AI Be Benevolent and Still Be Dangerous?

Yes. A system committed to helping is dangerous precisely when its definition of help overrides the person's own account of what they need.

Read

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