Data Protection Impact Assessment (DPIA)
Systematic analysis of privacy risks and mitigations for AI systems.
How the laws define this
Regulators consistently define a Data Protection Impact Assessment (DPIA) as a structured, documented process to identify, evaluate, and mitigate privacy and data protection risks caused by data processing or artificial intelligence systems. Where these instruments diverge most sharply is in their specific operational focus and triggering conditions. Most sources, such as Law No. 21.719 and the AI and Data Protection Regulation Bill, mandate DPIAs broadly for high-risk processing operations or artificial intelligence systems. In contrast, The California Age-Appropriate Design Code Act restricts its scope to online services, products, or features likely to be accessed by children, focusing on preventing material detriment to children's physical or mental health and well-being. Additionally, procedural submission rules differ across regimes, ranging from retaining assessments internally as compliance evidence to submitting them to regulatory bodies like the SPDP or EDÖB.
Synthesised from the 9 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 |
|---|---|---|---|
| California, United States | The California Age-Appropriate Design Code Act | In Force | Limits DPIA to online services likely accessed by children, focusing on risks to their physical, mental health or well-being with a timed mitigation plan. |
| Switzerland | Data Protection Ordinance (DPO) — implementing ordinance to the revised FADP | In Force | Requires documenting necessity, proportionality and mitigations, with submission or consultation to EDÖB in certain high-risk cases. |
| Chile | Law No. 21.719 — Regulates the protection and processing of personal data and creates the Personal Data Protection Agency | Awaiting Entry | Mandates retention as evidence of compliance for high-risk operations like profiling, large-scale processing or new technologies. |
| Argentina | Presidential Resolution 206/2025 – Guide of Recommendations and Directives for the Use of Artificial Intelligence Systems in the Judiciary of the Autonomous City of Buenos Aires | In Force | Describes DPIAs for medium- and high-impact judicial AI deployments, recommending attachment to procurement and authorization files. |
| Qatar | Principles and Guidelines for Ethical Development and Deployment of Artificial Intelligence (MCIT) | In Force | Recommends specific measures like data minimization, pseudonymization, anonymization and access controls aligned with Qatar’s privacy law. |
| ISO | ISO/IEC 8183:2023 — Information technology — Artificial intelligence — Data life cycle framework | In Force | Broadens to any new project, system or process involving personal data processing, emphasizing preemptive risk mitigation. |
| Amsterdam, Netherlands | Amsterdam Algorithm Register | In Force | Ties to GDPR high-risk processing within a public transparency register for city algorithmic systems. |
| Bangladesh | Draft Personal Data Protection Act / Draft Data Protection Act 2023 | Draft | Would require archiving DPIAs and submission to the Board for high-risk processing under the draft act. |
| Ecuador | AI and Data Protection Regulation Bill | Under Review | Would mandate submission to SPDP for high-risk AI systems processing personal or sensitive data, evaluating severity and likelihood. |
What it triggers
- In California, online services likely accessed by children must conduct a DPIA assessing design risks to child well-being with a timed mitigation plan.source
- In Switzerland, high-risk processing requires a DPIA documenting mitigations, submitted to or consulted with the EDÖB in certain cases.
Definitions (9)
A structured assessment that identifies, evaluates and documents privacy and data-protection risks posed by an AI system and the measures to mitigate them; DPIAs are mandatory for medium- and high-impact deployments and must be attached to procurement and authorization files. The Guide aligns DPIA requirements with Argentina's data protection regime and specifies content and procedural expectations for judicial use.
A mandated evaluation procedure for processing operations assessed as high-risk under the Draft Act, requiring custodians/controllers to identify, assess and document privacy risks and mitigation measures, to be archived and submitted to the Board where required.
A systematic, documented assessment required for AI processing of personal or sensitive data (particularly for high-risk systems) that identifies privacy risks, evaluates their severity and likelihood, and specifies mitigation measures; the Bill requires DPIAs be conducted and submitted to the SPDP when mandated.
A documented prior evaluation required for high-risk processing operations (e.g., profiling, large-scale processing, use of new technologies) that identifies risks to data subjects and sets out measures to mitigate those risks; DPIAs must be retained as evidence of compliance.
An evaluation process to identify and mitigate privacy risks arising from personal data processing in an AI system, covering data minimization, pseudonymization/anonymization, access controls and other measures aligned with Qatar’s Personal Data Privacy Protection Law as recommended by the Guidance.
A systematic assessment of the processing operations' necessity and proportionality, and of the risks to the personality and fundamental rights of data subjects, required where processing presents a high risk; the DPIA must document mitigations and, in certain cases, be submitted to or consulted with the EDÖB.
A process designed to help identify and minimize the data protection risks of a project or system, mandatory under GDPR for high-risk processing.
A systematic survey and documentation of the risks that arise from a business's data management practices for any online service, product, or feature likely to be accessed by children. It must assess whether the design could cause material detriment to children's physical health, mental health, or well-being, and include a timed plan to mitigate or eliminate these risks.
A Data Protection Impact Assessment (DPIA) is a systematic process for identifying and assessing the potential impact on data protection rights and freedoms of individuals arising from a new project, system, or process that involves the processing of personal data. It helps organizations mitigate risks before they materialize.
Not to be confused with
AI Impact Assessment covers broader risks and harms before any AI deployment, while DPIA focuses specifically on data protection and privacy risks.
The GDPR DPIA is a general high-risk processing tool, whereas these definitions adapt it to specific jurisdictions, AI contexts or child protections.
Questions and answers
When is a DPIA required for child-focused online services?
Under California's Age-Appropriate Design Code Act, a DPIA is required for any online service, product or feature likely accessed by children to assess risks to their health and well-being. It must include a timed plan to mitigate or eliminate those risks.
Do DPIAs need to be submitted to authorities?
Switzerland requires submission or consultation with the EDÖB in certain high-risk cases. Ecuador's bill would mandate submission to the SPDP when required for high-risk AI systems.
What do judicial AI guidelines say about DPIAs?
Argentina's Presidential Resolution 206/2025 for the CABA judiciary describes DPIAs for medium- and high-impact AI deployments, recommending attachment to procurement and authorization files.
Related Terms
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