Data, Technology & Verification Systems
Automated decision-making
Automated decision-making is the use of software or algorithms to make or materially influence decisions without full manual determination.
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Automated decision-making is the use of software or algorithms to make or materially influence decisions without full manual determination.
Overview
What it means in practice
Automated decision-making should be read as a data and verification term. Its meaning depends on the system boundary, data source, method, controls and the decision the information is meant to support.
In practice, users should explain what is measured or represented, where the data comes from, how it is transformed and what limitations remain. That keeps automated decision-making useful without overstating precision, automation or assurance.
Why it matters
Automated decision-making matters because sustainability decisions often depend on data that moves between teams, systems, suppliers and assurance processes. Clear wording helps readers distinguish evidence, estimates, system design and interpretation.
Common misconception
A common error is to treat Automated decision-making as proof of accuracy by itself. The term may describe a tool, structure or method, but reliability still depends on data quality, governance, controls and context.
Review questions
What source, method and control environment sit behind the data? What does the term prove, and what does it not prove? Can another reviewer trace the same conclusion from the available records?
Review
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Review board
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