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Good practice Imported

SIGEN's AI Control Guide — Argentina's National Audit Office Sets Lifecycle Rules for Public-Sector AI

Argentina · Buenos Aires · See the Argentina profile · See the Buenos Aires profile

Evidence: Descriptive / self-reported Top 89% 33/100 · Ask Evidence Copilot about this practice

Argentina's national audit body SIGEN issued Resolution 197/2026 on 22 June 2026, creating a risk-based lifecycle control framework for AI across the National Public Sector after a survey found agencies running AI projects with weak internal controls. No compliance results have b

SIGEN's AI Control Guide — Argentina's National Audit Office Sets Lifecycle Rules for Public-Sector AI

Details

Maturity
Pilot
Promoter
Sindicatura General de la Nación (SIGEN)
Period
2026
Keywords
public administration, internal audit, AI governance, data protection

Context

On 22 June 2026, Argentina's national internal-control body, the Sindicatura General de la Nacion (SIGEN), published Resolution SIGEN 197/2026 in the Boletin Oficial, creating the country's first government-wide control framework for artificial intelligence in the National Public Sector. SIGEN says the guide followed its own survey of state agencies, which found a range of AI projects already under way -- from staff using generative tools informally to AI embedded in institutional systems -- without adequately implemented controls.

Activities

The guide, presented publicly on 11 July 2026 by SIGEN head Alejandro Diaz, distinguishes two forms of use: individual use of generative AI tools by public employees, and institutional use, where AI is built into an agency's own systems. For both, it requires an explicit institutional policy, staff training on responsible use, data-governance controls covering quality, integrity and security, controls spanning the full system lifecycle from feasibility analysis to production, periodic performance reviews, defined roles and access limits, complete documentation for audit purposes, and transparency measures toward citizens.

Results

It is explicitly framed as a preventive, risk-based approach rather than a ban, and names risks such as unauthorised disclosure of confidential information, mishandling of personal data, dependency on external AI vendors, absent validation criteria for AI-generated outputs, and staff unfamiliarity with model bias and vulnerabilities.

Conclusions

As a newly issued control framework rather than a deployed AI system, the guide has no operating results yet: SIGEN has not published data on how many of the surveyed agencies have since implemented the required controls, and independent audits of compliance have not yet been reported.

Implementation

Indicative cost
Low (< €50k) — Regulatory/governance framework; no deployment cost since it governs existing and future AI use rather than building a system.
Time to results
Short (< 1 year) — Resolution published 22 June 2026; publicly presented 11 July 2026.
Staffing & skills
SIGEN (Sindicatura General de la Nacion)

Conditions for success

  • Preceded by SIGEN's own survey of state agencies to identify ungoverned AI use before writing the guide
  • Distinguishes individual vs institutional AI use with tailored requirements for each
  • Covers the full system lifecycle from feasibility analysis to production, not just deployment

Common failure modes

  • No data yet on how many surveyed agencies have implemented the required controls
  • Independent audits of compliance not yet reported

Where it fits

Governance type
national internal-control/audit body
Scale
national (Argentina), whole-of-government
Income level
upper-middle-income

Commonly funded by

National / regional programmes

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Data sources

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