Automated Decision-Making
A decision affecting an individual that is made entirely or primarily by automated means, including profiling, with no meaningful human intervention.
Full Definition
Automated decision-making (ADM) is specifically regulated where it produces legal effects or similarly significantly affects the individual. GDPR Article 22 gives data subjects a right not to be subject to such decisions unless the processing is necessary for a contract, authorised by law, or based on explicit consent — and even then, meaningful information about the logic involved, the significance and the envisaged consequences must be provided, and human-intervention rights preserved. The EU AI Act adds parallel duties where the ADM system is a 'high-risk AI system' under Annex III (employment, credit, insurance, essential public services).
Under the DPDP Act, ADM is not a standalone right-regulated topic, but Significant Data Fiduciaries must conduct algorithmic risk assessments under Section 10 and Rule 13 before deploying automated decision-making. The Colorado AI Act and emerging US state AI laws impose similar impact-assessment and consumer-notice duties for 'consequential decisions'. For a global programme, maintaining a single ADM inventory with per-system notes on applicable law, lawful basis, human-oversight design and the specific transparency wording in notices is the pragmatic baseline.
Related terms
Automated Processing
Processing of personal data carried out without human intervention, including profiling and automated decision-making.
AI Governance
The organisational framework of policies, roles, controls and audit practices that keeps an organisation's use of AI systems lawful, ethical and accountable.
DPIA
Data Protection Impact Assessment — a systematic process to identify and minimise privacy risks in new processing activities.
Relevant regulations
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