Algorithmic Impact Assessment
A structured, documented process that identifies and evaluates the potential social, legal, and technical impacts of an algorithmic/AI system before and during its use.
Definitions (3)
A formal, documented evaluation required before and during deployment that identifies potential impacts on fundamental rights and other risks, specifies mitigation measures, and is published (in full or redacted) on Sinapses; high‑risk systems must undergo periodic reassessments and external audits tied to these assessments.
A documented assessment required (per the Directive on Automated Decision‑Making and referenced by the Guide) when an AI system may inform administrative decisions; it identifies risks, impacts, required mitigations, documentation, and approval steps to ensure compliance and appropriate oversight.
A structured assessment to identify and evaluate potential harms, rights impacts, and risks from an AI system across its lifecycle; used to differentiate governance intensity by risk level and to prioritize mitigation and oversight measures. The Approach Document recommends AI/algorithmic impact assessments for high-impact deployments and as an input to sectoral guidance and procurement decisions.
Related Terms
Fundamental Rights Impact Assessment
Evaluation of AI system's potential impact on human rights before deployment....
AI risk management
Systematic application of management policies and practices to identify, assess, treat, and monitor AI-specific risks....
Conformity Assessment
Process to verify that high-risk AI systems meet regulatory requirements before market placement....