Review Automated Decision-Making

Automated decision-making is the use of data and computational rules or models to make, recommend, or materially shape determinations with limited or no direct human judgment at the decision point.

The system may approve, deny, rank, price, flag, or route a person or case. The degree of automation and the meaning of human involvement vary by system and legal context.

These decisions can affect access, opportunity, rights, safety, and resources. Teams need clear authority, appropriate review, explanation, monitoring, and contestability.

A system automatically sets an insurance premium using applicant and behavioral data without an employee deciding each case.

A person clicking approve does not necessarily create meaningful human review if the person lacks time, information, authority, or a realistic ability to disagree.

The system materially shapes who gets what decision.

* [[decision-point|Decision Point]] * [[human-review|Human Review]] * [[algorithmic-accountability|Algorithmic Accountability]] * [[interpretability-explainability|Interpretability and Explainability]] * [[human-ownership|Human Ownership]]

* [Regulation (EU) 2016/679 (GDPR), Article 22](https://eur-lex.europa.eu/eli/reg/2016/679/oj) — official legal text covering decisions based solely on automated processing that produce legal or similarly significant effects. * [UK Information Commissioner's Office, *Rights related to automated decision-making including profiling*](https://ico.org.uk/for-organisations/uk-gdpr-guidance-and-resources/individual-rights/automated-decision-making-and-profiling/) — regulator guidance on automated decisions, profiling, safeguards, and individual rights.

* Evaluate whether the workflow preserves a real [[decision-point|Decision Point]] and meaningful [[human-review|Human Review]].