Argentina - opaque algorithms in public health

What Happened

The Ministry of Health in several provinces of Argentina deployed automated algorithmic systems to manage public health resource allocation, schedule medical appointments, and predict patient risk levels in public hospitals. The algorithms operated as complete "black boxes," with no public documentation, independent validation, or transparency regarding the data used or the risk factors analyzed. Investigations by civil liberties and health advocate groups revealed the system frequently generated incorrect risk scores, leading to delayed medical care and unequal treatment of patients from economically disadvantaged backgrounds.

How MEG 1 would have acted

The public health allocation system failed the Dynamic Accuracy Index (DAI) audit due to its complete opacity and lack of reliable visual and data validation, violating the requirements of systemic accuracy and procedural fairness.

MEG 2 Analysis - Legal Framework

Agent level: N2 (management) - automated decision-making and risk-profiling system used by a public authority to allocate public health resources and prioritize patient care.
Cause (6.1):
(a) system defect - design of a public health allocation system that lacks independent validation and exhibits potential demographic bias against economically disadvantaged groups (design defect).
(b) autonomous decision error - the system's decision to flag specific patients for delayed care based on opaque, unverified risk scores.
Attachment of liability: The Ministry of Health as the operator is fully liable for the wrongful resource allocations and delayed care caused by deploying an unverified, opaque system.

Procedural Mechanism

6.2 (architectural human confirmation): Decisions involving the allocation or denial of medical care must require active, architectural human confirmation. The AI can only suggest risk levels; a human medical officer must verify the recommendation.
7.1 (independent forensics): All patient data, the risk indicators used, and the system's recommendation must be securely logged in an unalterable, independent ledger to allow for human rights and medical audits.
9.4 (least privilege): The profiling system was granted significant influence over public health resource distribution without independent validation, violating safe operational boundaries.