Risk assessment

A systematic process to identify, categorize, evaluate and document social, ethical, legal and technical risks posed by an AI project, including likelihood and severity evaluations and prioritized mitigation plans. The Recommendations call for early-stage screening, continuous monitoring and documented mitigation measures tied to project decisions.

Risk assessment denotes a structured appraisal of potential harms across the R&D lifecycle — encompassing downstream misuse, privacy breaches, bias and safety failures — and recommends stage-gated evaluations and mitigation measures prior to wider release.

A structured evaluation of privacy, security and societal risks associated with a PET deployment, encompassing DPIAs, human-rights-focused assessments and measurement of privacy leakage and utility trade-offs. NICPET operationalises risk assessments as part of pre-screening and ongoing monitoring to inform mitigation and compliance actions.

A structured process to identify, evaluate and mitigate safety, privacy, security and socio‑ethical risks across an AI system's lifecycle, including DPIA‑style assessments where personal data are involved and documented mitigation plans.

A documented process to identify and evaluate potential harms, impacts on rights, safety and security from an AI use case, classify risk level (eg. low/medium/high), and specify mitigations and monitoring; where personal data are involved this includes or is accompanied by a Data Protection Impact Assessment.

A systematic evaluation of an AI system's potential impacts on human rights, democracy, and the rule of law used to classify risk levels and to inform the design and implementation of appropriate safeguards, mitigation measures, and oversight mechanisms.

The process of determining the safety and suitability of an AI agent based on evaluation evidence, identifying potential harms, and informing mitigation strategies.

Refers to the systematic process of identifying, analyzing, and evaluating potential ethical and safety risks associated with AI applications throughout their lifecycle.