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AI Ethics & Society

Somebody chose this

Suppose an AI is unfair to one group. Which choice is behind it?

Whose examples did it learn from?
Step 1 of 4
  1. Whose examples did it learn from?
  2. What did it reward as a good answer?
  3. Who answers for a wrong result?
  4. A person made each of these choices.

The rule

People choose the examples and the goal of an AI. People must answer for it.

The examples are the data it learned from. If they come from one place, the AI may fail elsewhere.

The goal is what the AI counts as a good result. A goal can favour some people by accident.

The last question is who answers. Someone should be able to explain a result and fix it.

Three made-up cases and the choice behind each
CaseThe choice behind it
A plant app learned from one garden only.The examples
An app picks readers by books borrowed.The goal
A bank says "the computer decided".Nobody answers

Take the reading app. It picks the best readers by books borrowed. Children with no library nearby borrow few books. The goal counts books borrowed. So the app ranks them low.

The goal is the choice behind it. It favours children near a library.

Find the choice behind each case.

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This track

  1. 0 Start here
  2. 1 Measuring who it gets wrong
  3. 2 What it can work out
  4. 3 When seeing is not believing
  5. 4 The work inside a job
  6. 5 Somebody chose this
  7. 6 The list that knows you
  8. 7 Navigating, not fearing
  9. 8 Who can use AI?
  10. 9 Four rules for AI in health care
  11. 10 Checkpoint: choices, lists, habits, access and health care
  12. 12 The big picture
  13. 11 Track quiz

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