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Inclusive Ml

This concept covers how models must be deliberately designed to serve diverse, underrepresented communities rather than just optimizing for the statistical majority.

Inclusive ML intentionally oversamples and evaluates underrepresented minority edge cases to prevent the model from only serving the majority
Inclusive ML intentionally oversamples and evaluates underrepresented minority edge cases to prevent the model from only serving the majority

Why Does This Exist?

This concept covers the fundamentals of inclusive ml within the broader context of Ai Ethics.

Think of It Like This

A helpful analogy

More details will be added here to explain the concept intuitively.

How It Actually Works

This section will detail the technical mechanisms behind Inclusive Ml.

The Quick Version

  • Key point 1 about Inclusive Ml.
  • Key point 2.