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Automated Decision-Making in Fraud Screening

Medium severity Medium confidence Explicitdocumentlanguage Unique · 0 of 325 platforms
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Document Record

What it is

Checkout.com uses automated systems to assess fraud risk in payment transactions, and these systems may make decisions about transactions without human review, though individuals can request a human review if the decision significantly affects them.

This analysis describes what Checkout.com's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology

ConductAtlas Analysis

Why it matters (compliance & governance perspective)

Automated fraud decisions can result in transactions being declined or accounts being flagged without any human judgment involved, and individuals may not always know when they have been subject to such a decision or how to challenge it.

Interpretive note: The scope of which automated decisions qualify as having 'significant effects' triggering Article 22 rights is subject to regulatory interpretation and may vary depending on the specific fraud screening context and jurisdiction.

Consumer impact (what this means for users)

Cardholders whose transactions are declined or flagged through Checkout.com's automated fraud systems may have the right to request a human review of that decision, particularly under GDPR Article 22, but exercising this right requires knowing it exists and contacting the relevant party.

What you can do

⚠️ These actions may provide transparency or partial mitigation but may not fully address the underlying issue. Effectiveness varies by jurisdiction and individual circumstances.
  • Delete Your Data
    Email dpo@checkout.com to request a human review of any automated decision that has significantly affected you, including transaction declines attributed to fraud screening. Describe the decision and the date it occurred.

How other platforms handle this

Tinder Medium

For information on how we process personal data through "profiling" and "automated decision-making", please see our FAQ.

Hinge Medium

For information on how we process personal data through "profiling" and "automated decision-making", please see our FAQ.

Stripe Medium

We use Personal Data to detect and prevent fraud, and to develop and improve our fraud detection models and other machine learning systems. This may include using transaction data, device information, and other Personal Data to train and refine our systems.

See all platforms with this clause type →

Monitoring

Checkout.com has changed this document before.

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▸ View Original Clause Language DOCUMENT RECORD
"
We may use automated decision-making, including profiling, in connection with fraud detection and prevention. You have the right to request human review of any automated decision that significantly affects you.

— Excerpt from Checkout.com's Checkout.com Privacy

ConductAtlas Analysis

Institutional analysis (Compliance & governance intelligence)

1. REGULATORY LANDSCAPE: Automated decision-making with significant effects on individuals engages GDPR Article 22, which restricts solely automated decisions producing legal or similarly significant effects and requires human review on request, meaningful information about the logic involved, and the ability to contest the decision. UK GDPR contains equivalent protections. The ICO has published guidance on automated decision-making that is relevant to fraud screening contexts. EU AI Act provisions on high-risk AI systems may also be relevant where fraud scoring systems meet the risk classification thresholds. 2. GOVERNANCE EXPOSURE: Medium. While fraud screening automation is standard in the payments industry, GDPR Article 22 compliance requires documented procedures for human review, transparency obligations about the logic used, and data subject notification. The policy's assertion that human review is available on request must be backed by operational procedures. 3. JURISDICTION FLAGS: EU and UK cardholders have the strongest rights under GDPR Article 22. US users have fewer federal protections in this area, though state laws in California (CCPA/CPRA profiling provisions) may create additional disclosure obligations. Illinois residents may have considerations if biometric data is involved in identity verification combined with fraud scoring. 4. CONTRACT AND VENDOR IMPLICATIONS: Merchants using Checkout.com's fraud detection products should confirm that their own privacy notices disclose automated decision-making and that they have mechanisms for receiving and routing cardholder Article 22 requests. Vendor assessments should cover the data inputs to fraud scoring models, retention of scoring data, and model documentation. 5. COMPLIANCE CONSIDERATIONS: Compliance teams should document the automated decision-making processes used in fraud screening, prepare Article 22 response procedures including human review workflows, and ensure data subjects are informed about automated processing in an accessible manner. AI Act readiness assessments may be warranted for fraud scoring systems deployed in EU contexts.

Full compliance analysis

Regulatory citations, enforcement risk, and due diligence action items.

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Applicable agencies

  • FTC
    The FTC has authority over unfair or deceptive practices in automated consumer decision-making, particularly where fraud scoring affects consumers' access to services.
    File a complaint →

Applicable regulations

GDPR
European Union

Provision details

Document information
Document
Checkout.com Privacy
Entity
Checkout.com
Document last updated
May 5, 2026
Tracking information
First tracked
May 8, 2026
Last verified
May 11, 2026
Record ID
CA-P-010385
Document ID
CA-D-00663
Evidence Provenance
Source URL
Wayback Machine
Content hash (SHA-256)
a644fb34e781c2f85b7f4158747e8b392097069bd33d31e2fe9cda04abdf18be
Analysis generated
May 8, 2026 15:31 UTC
Methodology
Evidence
✓ Snapshot stored   ✓ Hash verified
Citation Record
Entity: Checkout.com
Document: Checkout.com Privacy
Record ID: CA-P-010385
Captured: 2026-05-08 15:31:40 UTC
SHA-256: a644fb34e781c2f8…
URL: https://conductatlas.com/platform/checkoutcom/checkoutcom-privacy/automated-decision-making-in-fraud-screening/
Accessed: May 13, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.
Classification
Severity
Medium
Categories

Other risks in this policy

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Frequently Asked Questions

What does Checkout.com's Automated Decision-Making in Fraud Screening clause do?

Automated fraud decisions can result in transactions being declined or accounts being flagged without any human judgment involved, and individuals may not always know when they have been subject to such a decision or how to challenge it.

How does this clause affect you?

Cardholders whose transactions are declined or flagged through Checkout.com's automated fraud systems may have the right to request a human review of that decision, particularly under GDPR Article 22, but exercising this right requires knowing it exists and contacting the relevant party.

Is ConductAtlas affiliated with Checkout.com?

No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Checkout.com.