Guide for public and private entities on transparency and personal-data protection for responsible AI
Agency for Access to Public Information (Agencia de Acceso a la Informacion Publica)
last revised 2024-09-01last verified 2026-09-041 versioncountry page →
GuidanceIn forceRisk classificationRecord-keeping
map categories:Data protection and legal AI
Unverified: we have not yet opened the official document at the linked address. The record is listed for completeness and excluded from search indexes until confirmed.
Argentina's data-protection authority's lifecycle guide for AI systems: privacy by design and impact assessment at design stage, bias and error testing at validation, documented privacy policies at implementation, and incident reporting, monitoring and complaint channels in operation. Not legal-sector specific but applies to firms and courts processing personal data with AI.
- Applies to
- all
- Effective
- See version history
- Current version
- Published under the programme created by Resolucion 161/2023 · 01 Sept 2024
- Last verified
- 04 Sept 2026
What the document requires
- Data-protection impact evaluation from the design stage.
- Bias detection and ethical-commitment documentation before deployment.
- Transparency to data subjects and traceability of systems.
- Incident reporting and accessible complaint channels in operation.
Version history
| Version | Date | What changed | Source |
|---|---|---|---|
| Published under the programme created by Resolucion 161/2023current | 2024-09-01 | Initial guide; a preliminary version circulated earlier in 2024. | official |
Sources
Cite this record
SafeLegalAI Legal AI Regulation Tracker, "Guide for public and private entities on transparency and personal-data protection for responsible AI" (Agency for Access to Public Information (Agencia de Acceso a la Informacion Publica), Published under the programme created by Resolucion 161/2023, 2024-09-01), safelegalai.com/regulation/other/ar-aaip-guia-ia-responsable-2024 (accessed 2026-09-04). Data: CC BY 4.0.
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