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BA Internet Policy · 03

The model is not representative.

The model finds patterns, predicts, and produces output. But it does not carry the authority to speak on behalf of people, institutions, corpus or truth.

Output ≠ judgment Source · Uncertainty · Human approval

Canonical principle

A fluent response is not a guarantee of representation or accuracy.

Model output; The source, context, date, ambiguity and intended use are evaluated together. Critical decision and public representation cannot be left to the model without human approval.

It produces models; man verifies, limits and bears his account.

Basic distinction

Producing output is one thing, representing it is another.

01

Model capacity

Produces output

  • Prediction and classification
  • Text and image draft
  • Pattern and similarity
  • Action recommendation
02

Human responsibility

It represents and rules

  • Verifies the source
  • Sets the context
  • Considers harm and right
  • Makes the broadcast decision

Model card

Each published model and usage course must bear a clear statement.

  • Purpose and scopeWhat can the model be used for, and what decision can it not be used for?
  • Source and dateWhat data and history is the information based on?
  • UncertaintyWhat does the risk of error, underrepresentation, and false trust look like?
  • Human approvalWho verifies and takes responsibility at what stage?
  • Representation statementIs it clear that the output is not human or institutional opinion?
  • Stop wayHow to stop incorrect or harmful use?

BA Internet depths

The model boundary works with data, interface and SEDD.