Operating Principle

2–4 min read

AI Systems Inherit the Biases of Their Training Data

AI Systems Inherit the Biases of Their Training Data

AI Systems Inherit the Biases of Their Training Data

AI reflects patterns, gaps, and skews in its training data.

AI reflects patterns, gaps, and skews in its training data.

AI reflects patterns, gaps, and skews in its training data.

Apparent data-driven neutrality can mask inherited bias.

Apparent data-driven neutrality can mask inherited bias.

Apparent data-driven neutrality can mask inherited bias.

Apparent data-driven neutrality can mask inherited bias.

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Operating Question

What task, workflow, or oversight condition determines whether AI is useful here?

What task, workflow, or oversight condition determines whether AI is useful here?

What task, workflow, or oversight condition determines whether AI is useful here?

Why It Matters

Apparent data-driven neutrality can mask inherited bias.

Supporting Evidence

Research on algorithmic bias and fairness.

Research Notes

Re-test assumptions as models, stakes, workflows, and oversight arrangements change.

Practical Actions

Audit disparate outcomes; review historical inputs; do not assume neutrality.

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