What are automatic decisions that produce legal or similarly significant effects on data subjects?

In the case of automated decision-making that produces legal or similarly significant effects on data subjects, they are entitled to express their views and have them taken into consideration where such automated decisions impacts them.

Legal consequences occur when automated decisions directly impact an individual's legal rights or legal status. These include:

  • Rights and entitlements: Decisions affecting freedom of association, voting rights, or legal action
  • Contract-related effects: Contract cancellation or denial of contract entry
  • Benefits and services: Denial or eligibility changes for social benefits
  • Immigration and citizenship: Denial of admission to a country or refusal of citizenship status

Similarly significant effects are non-legal impacts that are serious or important enough to warrant the same protections as legal consequences. Examples include:

  • Financial impact: Automatic refusal of an online credit application, decisions affecting someone's financial circumstances or eligibility for credit
  • Employment consequences: Denial of employment opportunities or decisions that put someone at serious disadvantage in hiring (e-recruiting practices without human intervention)
  • Healthcare access: Decisions that deny someone access to health services
  • Educational access: Decisions affecting university admissions or other educational opportunities
  • Behavioral influence: Processing that influences someone's personal circumstances, behavior, or choices