PRI-36.4: Automated Decision-Making Technology (ADMT) Transparency
Mechanisms exist to provide data subjects with sufficient details of the logic and parameters used by Automated Decision-Making Technology (ADMT) to process the Personal Data (PD) to generate an output with respect to the data subject.
Renumbered: Formerly PRI-19.3 in SCF 2025.4.
Control Question: Does the organization provide data subjects with sufficient details of the logic and parameters used by Automated Decision-Making Technology (ADMT) to process the Personal Data (PD) to generate an output with respect to the data subject?
US (1)
| Framework | Mapping Values |
|---|---|
| USA California CCPA 2025 | 7222(a) |
EMEA (3)
| Framework | Mapping Values |
|---|---|
| EMEA Switzerland FADP 2025 | 3.21.3.a |
| EMEA Greece PIRPPD 1997 | C.12.2.d |
| EMEA Russia 152-FZ 2025 | Art. 16 |
APAC (1)
| Framework | Mapping Values |
|---|---|
| APAC China Privacy Law 2021 | Article 24 |
Americas (2)
| Framework | Mapping Values |
|---|---|
| Americas Bahamas DPA 2003 | IV.24(3)(a) IV.24(3)(b) IV.24(3)(c) IV.24(3)(d) |
| Americas Brazil LGPD 2018 | III.20 III.20.1 |
Capability Maturity Model
Level 0 — Not Performed
Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.
Level 1 — Performed Informally
SCR-CMM Level 1 criteria definitions are not available for this control: ▪ A reasonable person would conclude this control requires a structured process. ▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.
Level 2 — Planned & Tracked
SCR-CMM Level 2 criteria definitions are not available for this control: ▪ A reasonable person would conclude a well-defined and standardized process is required. ▪ At this level of maturity, the “requirements-driven” nature of performing the control is focused on a localized and/or regionalized implementation, not uniform and consistent across the organization. ▪ Requirements are narrowly scoped for applicability and are primarily derived from compliance obligations (e.g., laws, regulations and contracts).
Level 3 — Well Defined
Privacy (PRI) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with PRI domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function. ▪ Standardized Operating Procedures (SOP) associated with PRI domain capabilities are well-documented and kept current by process owners. ▪ A data privacy team, or similar function, is appropriately staffed and supported to implement and maintain PRI domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of data privacy operations (e.g., privacy notice management software and customer management solution). ▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with PRI domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls). ▪ An implemented and operational capability exists to provide data subjects with sufficient details of the logic and parameters used by Automated Decision-Making Technology (ADMT) to process the Personal Data (PD) to generate an output with respect to the data subject.
Level 4 — Quantitatively Controlled
Utilize SCR-CMM Level 3 criteria definitions: ▪ There are no defined Level 4 criteria, since it is reasonable to assume a quantitatively-controlled process is not necessary to operationalize this control. ▪ While it may be possible to develop “metrics-driven” capabilities for this control, the criteria would be organization-specific to define.
Level 5 — Continuously Improving
Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions: ▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control. ▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies. ▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
Assessment Objectives
- PRI-36.4_A01 sufficient details of the logic and parameters used by Automated Decision-Making Technology (ADMT) to process the Personal Data (PD) to generate an output with respect to the data subject are documented.
- PRI-36.4_A02 data subjects are provided with sufficient details of the logic and parameters used by Automated Decision-Making Technology (ADMT) to process the Personal Data (PD) to generate an output with respect to the data subject.
Evidence Requirements
- E-PRI-11 Automated Decision-Making Technology (ADMT) Documentation
-
Documented evidence of Automated Decision-Making Technology (ADMT) use, notifications, opt-out and transparency documentation.
Privacy
Technology Recommendations
Micro/Small
- Explain how automated decisions are made to affected users
Small
- ADMT transparency policy
- Explanation of ADMT logic in privacy notice
Medium
- Formal ADMT transparency program
- Explainability requirements for ADMT systems
Large
- Enterprise ADMT transparency program
- Explainable AI (XAI) for ADMT systems
Enterprise
- Enterprise AI explainability framework for ADMT
- XAI tools (SHAP, LIME)
- Regulatory compliance (GDPR Art. 13-15, 22)