Algorithmic Impact Assessment (AIA)
Assessment evaluating risks and impacts of an AI system.
How the laws define this
Regulators consistently treat an Algorithmic Impact Assessment as a structured, documented process designed to evaluate potential harms or rights impacts of an artificial intelligence system and detail mitigation measures. Where these instruments diverge is in who must perform the assessment and what regulatory obligations follow. Canada's Directive on Automated Decision-Making uses a standardized tool that produces an impact-level score to trigger prescribed measures like peer review and monitoring. In contrast, Project 7033/2023 in Peru targets providers of high-risk systems, requiring a public summary and technical annex to support regulatory registration and conformity assessment. Meanwhile, Proyecto 130/23 focuses on employers or developers evaluating workplace health, safety, and labor rights prior to deployment. Finally, the AI Adoption Guideline in Government Services in the UAE uses the process to guide data protection impact assessments, risk management, and official approval decisions within public services.
Synthesised from the 4 statutory definitions below. Each one is quoted in full, with its source.
How jurisdictions differ
What is distinctive in each definition, binding law in force first.
| Jurisdiction | Instrument | Status | What is distinctive |
|---|---|---|---|
| Canada | Directive on Automated Decision-Making (Treasury Board of Canada Secretariat) | In Force (Amended) | Adds public availability, a specific tool maintained by TBS/OCIO producing an impact-level score that triggers prescribed measures like publication, peer review, testing and monitoring. |
| United Arab Emirates | AI Adoption Guideline in Government Services (UAE AI Office) | In Force | Adds identification of distributional effects and stakeholder impacts alongside harms, used to inform risk management, DPIAs, testing and approvals. |
| Peru | Project 7033/2023 (07033) — Bill that proposes to regulate the development and use of Artificial Intelligence in Peru | Under Review | Adds requirements for providers of high-risk systems to document risk classification, data provenance, testing results and governance, with public summary and technical annex for regulators. |
| Colombia | Project 130/23: Harmonization of Artificial Intelligence with Labor Rights | Withdrawn | Limits to labor contexts where employers or developers must analyze impacts on labor rights, discrimination, health, safety and data use, with periodic updates for material changes. |
What it triggers
- In Canada under the Directive on Automated Decision-Making, it triggers prescribed baseline and additional measures including publication, peer review, testing and monitoring based on the impact-level score.source
- In Peru under Project 7033/2023, it would support conformity assessment and registration by regulators.source
- In Colombia under Project 130/23, it would have required periodic updates or updates when system changes materially alter risk.source
Definitions (4)
A structured impact assessment that providers of high‑risk systems must prepare, documenting the system's risk classification, data provenance, anticipated impacts on rights, mitigation measures, testing and validation results, and governance arrangements; the bill requires a public summary and a technical annex for regulators to support conformity assessment and registration.
A mandatory, publicly available assessment tool maintained by TBS/OCIO that asks risk and mitigation questions to produce an impact-level score, and which triggers prescribed baseline and additional measures (publication, peer review, testing, monitoring) based on that score.
A documented assessment that employers or developers must complete before deploying an AI system which analyzes potential impacts on labor rights, discrimination risks, workplace health and safety, data use, and mitigation measures, and which must be updated periodically or when system changes materially alter risk.
A structured assessment process to identify and document potential harms, distributional effects, stakeholder impacts and mitigation measures associated with an AI system, used to inform risk management, DPIAs, testing requirements and approval decisions.
Not to be confused with
This term refers to detailed impact assessments specifically for higher-risk algorithms, while AIA more broadly evaluates risks and impacts of any AI system.
Questions and answers
Is AIA mandatory in Peru's AI bill?
Providers of high-risk systems would have to prepare it, documenting risks, impacts, mitigations and governance. A public summary and technical annex would be required for regulators.
How does AIA apply to workplaces in Colombia?
Employers or developers would have completed it before deploying AI systems affecting labor rights, with updates for material changes. The bill was withdrawn.
Related Terms
AI Impact Assessment (AIA)
Pre‑deployment assessment of risks and mitigation measures....
High-impact AI system
An AI system whose use poses significant risk of harm or rights impacts....
Risk assessments
Formal analyses of likelihood and impact of AI uses, incl. privacy and bias....
Algorithm Impact Assessment (AIA)
Detailed impact assessment for higher‑risk algorithms....
High-risk AI applications
AI systems that significantly affect rights, safety, or essential services....