Automated decision-making

Systems that make and execute decisions autonomously without human review or intervention, producing actions or outcomes directly affecting customers or markets. The report contrasts these with decision‑support systems to calibrate supervisory expectations and controls.

Use of algorithmic or AI systems to reach decisions about individuals without meaningful human intervention; where such decisions affect rights or significant interests, controllers must disclose the automated nature and offer human review or appeal mechanisms.

Decisions made by AI systems without meaningful human intervention that produce legal effects for, or similarly significantly affect, data subjects. The advisory highlights the need for disclosure, contestability, and human oversight where such decisions are used.

Processing that uses algorithms or other automated means to evaluate, score, or make decisions about natural persons which may materially affect their rights and interests; the law requires transparency, explanation, and mechanisms for human oversight and objection where such decisions have significant impacts.

Processes in which an AI system generates outputs that directly determine or materially influence individuals' rights, entitlements or obligations with minimal or no meaningful human intervention; such processes are subject to prior evaluation, enhanced transparency, human oversight requirements and redress mechanisms under the bill.

Use of algorithmic or automated tools to support or make decisions in verification, content recommendation, audience analytics or other editorial processes, requiring documentation of inputs/outputs, safety testing and human oversight as recommended by the guide.

Processes whereby an AI system makes determinations or choices that affect individuals without meaningful human oversight; such decisions trigger transparency obligations, rights to information, and remedies under the Bill to protect affected persons.

Decisions produced by algorithms or AI systems that materially affect individuals; the Charter requires significant automated decisions to be communicated, explainable, auditable and subject to review to ensure respect for fundamental rights, transparency and accountability.

Processes in which software or AI systems produce outputs (decisions, recommendations, classifications) that have an effect on individuals or organisational processes; the Guidelines treat such processes as requiring impact assessment, transparency measures and assigned human responsibility. The concept is operationalised to identify when additional rights-protection, documentation and human oversight are necessary.

Any decision, recommendation or action produced by an AI system or algorithm that influences outcomes for individuals or public services, where the decision process is at least partly executed without immediate human judgement in the operational loop.

Processing performed by algorithms that makes or substantially informs decisions about individuals with limited human intervention; the guidance treats such processing (including profiling) in light of Article 22 GDPR and highlights obligations where decisions have legal or similarly significant effects.

Decisions or assessments in which algorithmic outputs materially inform or determine outcomes for a citizen, such that the algorithm's result plays a substantive role in the administrative decision.

A clarified definition distinguishing fully automated from assisted decision processes, setting out when decisions qualify as ADM under the law and the associated obligations (notice, representation, human review pathways and safeguards) particularly for non‑sensitive data where wider automated processing is permitted.