Foncier innovant finds 140,000 undeclared pools

Minister Cazenave (20 March 2024): DGFiP's AI tool detected 140,000 undeclared pools, c. €40m extra property tax for local authorities; Dordogne found 1,500 in 2023. No commune-level figure found.

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AI system

System

Foncier innovant (DGFiP deep-learning detection of pools and buildings on IGN aerial photographs, built with Capgemini and Google)

Model

Not assessed

Release

Not assessed

Application developer

Direction générale des Finances publiques (DGFiP) with Capgemini and Google

Role

Not assessed

Configuration

Not assessed

Inputs and outputs

Not assessed

Autonomy

Not assessed

Workflow

IGN aerial photographs covering the whole territory. A detection model built with Capgemini and Google, generalized nationally after the 2022 nine-département experiment. Comparison of detected outlines with cadastral declarations. Agent verification of each detection and letters inviting owners to regularize.

Human oversight

Not assessed

Relation to AI

The AI detects pool outlines on aerial photographs and compares them with declarations. An agent verifies each detection before the construction is added to the cadastral value (Ouest-France). The 140,000 pools and €40 million are the minister's own attribution to the tool, relayed by several news outlets. CNews cites the DGFiP annual report via Ouest-France. No official document is among the sources. A CGT Finances publiques official told Ouest-France that field colleagues put the algorithm's error threshold at 55–60%. So the detections required substantial human checking. No commune-level outcome is on record. The Dordogne figure is the most local one read.

AI contribution

The AI detects pool outlines on aerial photographs and compares them with declarations. An agent verifies each detection before the construction is added to the cadastral value (Ouest-France). The 140,000 pools and €40 million are the minister's own attribution to the tool, relayed by several news outlets. CNews cites the DGFiP annual report via Ouest-France. No official document is among the sources. A CGT Finances publiques official told Ouest-France that field colleagues put the algorithm's error threshold at 55–60%. So the detections required substantial human checking. No commune-level outcome is on record. The Dordogne figure is the most local one read.

Benefits

Outcome identifiers

Not assessed

Benefit

detected 140,000 undeclared pools, c. €40m extra property tax

Category

Increased Product Revenue

Status

Not assessed

Beneficiary groups

People. Organizations. Society.

Beneficiaries

Not assessed

Reach

Not assessed

Distribution and access

Not assessed

Duration

Not assessed

Expected?

Yes

Costs and harms

Not assessed

Measurement

Studies

Not assessed

Study design

Not assessed

Measurement

Not assessed

Setting and sample

Not assessed

Measures

detected 140,000 undeclared pools, c. €40m extra property tax

Comparison

Assumed alternative: a surveyor noticing a new pool in a neighborhood by eye and checking the cadastre

Results

Assumed comparison. Reference: le géomètre qui remarquait une nouvelle piscine dans un quartier et devait vérifier dans le cadastre si elle était déclarée ou pas. Result: Dans toute la France, 140.000 piscines clandestines ont été repérées, ce qui va rapporter 40 millions d'euros.

Additional value from AI

Not assessed

Limitations

Not assessed

Denominators

Not assessed

Materials for replication

Not assessed

Money

Kind of value

additional property tax (taxe foncière) to be collected on the 140,000 detected pools

Amount

Estimate: 40 millions d’euros

Currency and prices

Not assessed

Period and unit

Not assessed

Realization

Not assessed

Recipients and payers

local authorities (collectivités), which receive the taxe foncière

Gross or net

Not assessed

Included costs

Not assessed

Comparison

Not assessed

Method

Not assessed

Return and payback

Not assessed

People and places

Participants

Developer: Direction générale des Finances publiques (DGFiP) with Capgemini and Google. Operator: Direction générale des Finances publiques (DGFiP), ministère de l'Économie et des Finances.

Jurisdictions

Benefit: France (national; Dordogne example). Developer: France. Operator: France.

Ownership and control

Not assessed

Dependencies

Not assessed

Cross-border connections

Not assessed

Geopolitical implications

Not assessed

Follow-up

Conditions for replication

Recent, high-resolution aerial coverage. A false-detection rate low enough for agents to verify (a union official cites 55–60% errors). Legal basis to add undeclared constructions to the cadastral value. Local offices with capacity to send and handle catch-up notices.

Replication attempts

3 follow-up entries. Benefit recurred: 2. Outcome unresolved: 1.

Later findings

12 June 2024. In June 2024 the DGFiP's 2023 activity report, as relayed by 20 Minutes and CNews, restated the 140,000 pools and the 40 million euros of property tax, against 20,000 pools in 2022, and the plan to extend detection to undeclared buildings.

Availability

Not assessed

Institutional decision

Not assessed

Grounds

Not assessed

Action and result

Not assessed

Success criterion

Not assessed

Evidence

Source numbers

AIBD-0335-source-0001–0006

Citations

Numbered references below.

Language

Not assessed

Source relationships

Independent

Original evidence

Not assessed

Access and versions

Not assessed

Supported findings

Not assessed

Evidence strength

Not assessed

Missing evidence

Not assessed

Grades

Assessed benefits

People. Organizations. Society.

Depth

People: Not assessed. Organizations: 2. Society: 1.

Reasons

People: Owners of detected pools bear a cost; no individual beneficiary is documented. Organizations: Material to the DGFiP and to local authorities. The minister attributed about €40 million of additional property tax to the tool. Dordogne alone is recovering tax on about 1,500 pools. Society: About €40 million nationally is small against total property-tax receipts. The press accounts disagree on the yearly split.

Observed or intended

Not assessed

Rubric

Not assessed

Assessor and date

Not assessed

Alternative assessments

Not assessed

Fill

Independently reported

Entry details

Kind

Not assessed

Field

Public finance: property-tax base and anti-fraud. Tax administration.

Purpose

Detect undeclared pools and buildings from aerial imagery so that they are added to the cadastral base and taxed. This was the tool's intended purpose.

Dates

Date basis unassessed: 2024 (precision unassessed). Updated: 21 October 2026.

Stage

Not assessed

Version

SHA-256: 87e51983bab4…

References

Other identifiers

Not assessed

Category mappings

Not assessed

Brief

Not assessed

Revisions

8 revisions. Latest: 21 October 2026.

Sources

  1. News report Independent author

    Dussourt, G. (2024). Grâce à l'IA, l'Etat découvre 140.000 piscines non déclarées et récupère 40 millions d'euros. RMC, 21 Mar 2024 (quoting minister Thomas Cazenave).

  2. News report Independent author

    Ouest-France (2024). Garages, vérandas, piscines… Comment le fisc repère les bâtiments non déclarés. 21 Mar 2024.

  3. News report Independent author

    CNews (2024). Piscines non déclarées : le fisc repère 140.000 fraudeurs grâce à l'IA. 11 Jun 2024 (citing the DGFiP annual activity report via Ouest-France).

  4. News report Independent author

    Bertrand, M. (2024). Le fisc découvre 1.500 piscines non-déclarées en Dordogne grâce à l'intelligence artificielle. ici (France Bleu Périgord), 24 Mar 2024.

  5. News report Independent author

    20 Minutes (2024). Taxe foncière : Grâce à l'IA, le fisc a repéré 140.000 piscines non déclarées en 2023. 12 Jun 2024.