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How can a dataset shape a system’s behaviour?

Collection choices affect who and what a model can learn to represent.

AI & computationTopic · Selected readingSome background helpful
Background and goal

Try the short introduction first, or bring equivalent reading experience. Obtain the specified text before beginning the longer reading.

Write a short datasheet for a hypothetical local photo collection, including exclusions and intended use.

Useful preparation

Start here if the background is new. Equivalent experience is enough.

Your pathway

5 steps · 14 hours
  1. 01

    Locate the reading

    0.25h · week 1
    Reading notes and task
    First fifteen minutesCheck the edition or article version and locate the passages below. Write the question you want the reading to resolve.
    Your outputEdition and passage record
  2. 02

    Study the opening

    4h · week 1
    Datasheets for Datasets

    Timnit Gebru · Jamie Morgenstern · Briana Vecchione · Jennifer Wortman Vaughan · Hanna Wallach · Hal Daumé III · Kate Crawford · paper

    Datasheets for Datasets: motivation, composition and collection-process questions

    Free full text

    Open the reading
    Reading notes and task

    Datasheets for Datasets. Collection choices affect who and what a model can learn to represent.

    Try thisRead Datasheets for Datasets: motivation, composition and collection-process questions. Reconstruct the central argument using premises and a conclusion.
    Your outputArgument reconstruction
    Check your understanding

    Answer this question in your own words: How can a dataset shape a system’s behaviour?

    Hint

    Name the claim, then explain why a reader might accept it.

    Compare with an example answer

    Collection choices affect who and what a model can learn to represent.

    What to look for

    • States a claim that addresses the question
    • Connects the claim to a passage or observation
    • Separates the author’s argument from personal agreement

    Common mistake: Summarising a biography instead of explaining the argument.

    Start this pathway to keep your answers in My learning.

  3. 03

    Read for contrast

    5h · week 2
    Datasheets for Datasets

    Timnit Gebru · Jamie Morgenstern · Briana Vecchione · Jennifer Wortman Vaughan · Hanna Wallach · Hal Daumé III · Kate Crawford · paper

    Datasheets for Datasets: motivation, composition and collection-process questions

    Free full text

    Open the reading
    Reading notes and task

    Datasheets for Datasets. Collection choices affect who and what a model can learn to represent.

    Try thisRead Datasheets for Datasets: motivation, composition and collection-process questions. Compare two passages that put pressure on your initial interpretation.
    Your outputTwo-passage comparison
  4. 04

    Develop an example

    3h · week 3
    Reading notes and task
    Try thisWrite a short datasheet for a hypothetical local photo collection, including exclusions and intended use.
    Your outputWorked example
    Check your understanding

    What would make your activity a convincing example?

    Hint

    Write a short datasheet for a hypothetical local photo collection, including exclusions and intended use.

    Compare with an example answer

    A useful response carries out the task: Write a short datasheet for a hypothetical local photo collection, including exclusions and intended use. It records the observation or passage used and explains how it bears on the question.

    What to look for

    • Completes the specific task
    • Shows evidence or reasoning rather than only a conclusion
    • Identifies an alternative explanation or reading

    Common mistake: Presenting an opinion without showing the example it rests on.

    Start this pathway to keep your answers in My learning.

  5. 05

    Write a considered response

    1.75h · week 4
    Reading notes and task
    Try thisWrite a response to “How can a dataset shape a system’s behaviour?” that uses both passages and tests its own conclusion. Documentation makes choices visible; it does not remove every bias.
    Your outputReasoned response with references
    Check your understanding

    What is one conclusion this reading does not establish?

    Hint

    Test the boundary: Documentation makes choices visible; it does not remove every bias.

    Compare with an example answer

    Documentation makes choices visible; it does not remove every bias.

    What to look for

    • States a specific limit
    • Explains why the reading does not warrant the stronger conclusion
    • Distinguishes a limitation from dismissing the work

    Common mistake: Treating a useful interpretation as an unrestricted fact.

    Start this pathway to keep your answers in My learning.

All 1 resources

Background, different viewpoints, and further reading.

  • Datasheets for Datasets

    Timnit Gebru · Jamie Morgenstern · Briana Vecchione · Jennifer Wortman Vaughan · Hanna Wallach · Hal Daumé III · Kate Crawfordpapercore

    Collection choices affect who and what a model can learn to represent.

    Datasheets for Datasets: motivation, composition and collection-process questions