Foodinho fined 2.6 million euros by Italian regulator over automated rider management
Italy's data protection authority fined Foodinho 2.6 million euros for violating GDPR and labor laws through its automated management of couriers. The regulator found that the company's algorithmic scoring system led to unfair discrimination and lacked human oversight.
The system penalized riders using an automated excellency score that lacked human oversight and transparency.
Key facts
- What
- Italy's data protection authority fined Foodinho 2.6 million euros for violating GDPR and labor laws through its automated management of couriers.
- Incident date
- Jul 5, 2021
- Who
- Foodinho (Glovo)
- Failure mode
- Policy Violation
- AI surface
- Algorithmic Decision
- Severity
- Medium
What happened
The Italian Garante fined Foodinho 2.6 million euros for using automated systems to manage its delivery riders. The authority found that the company failed to implement safeguards against discriminatory automated decision making. Riders were often excluded from work opportunities without a mechanism to contest the algorithmic results.
What broke inside the model
- 01 · TriggerA prompt pushes against a deployment boundary.
- 02 · Model stepThe model produces the disallowed output.
- 03 · Control gapNo enforcement blocks it at generation time.
- 04 · FailureThe output crosses the policy line.
- 05 · ConsequenceA limit the business set is breached in public.
The output crosses a policy boundary the deployment had defined.
The 'excellency system' used a mathematical formula to score riders, prioritizing those with higher scores for delivery slots while penalizing those who received negative customer feedback. The 'Jarvis' algorithm further automated order assignments without providing transparency or a path for human intervention to correct errors.
What it cost
Sources
- PressRIDERS: ITALIAN SA SAYS NO TO ALGORITHMS CAUSING DISCRIMINATIONedpb.europa.eu
- PressItalian Supervisory Authority Fines Foodinho Over Its Use of Performance Management Algorithmsinsideprivacy.com
Cite this entry
https://failureindex.ai/failures/foodinho-fined-million-euros-italian-regulatorAI Failure Index. "Foodinho fined 2.6 million euros by Italian regulator over automated rider management" (FI-0499). Realm Labs. https://failureindex.ai/failures/foodinho-fined-million-euros-italian-regulator (indexed Jun 10, 2026).Data fields CC-BY 4.0, prose citation permitted. Incident ID FI-0499. Full dataset at /data.
Note from Realm Labs, the Index steward
How Realm fits
- Prism
- OmniGuard
This entry sits in the index's predictive wing: a system that scores, ranks, perceives, or steers rather than generates. Realm's runtime layer is built for the generative and agentic systems now moving into these same decision seats, where it watches a model's internal state and holds an unsupported claim or an unchecked action before it commits. The control gap on this record, an automated decision that reached people with no runtime check in front of it, is the same gap. The index keeps predictive failures on the record because the pattern carries straight into the systems shipping today.