+BDSG § 37 Automatisierte Entscheidungen im Einzelfall einschließlich Profiling
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BDSG § 37 Automatisierte Entscheidungen im Einzelfall einschließlich Profiling
(1) Das Recht gemäß Artikel 22 Absatz 1 der Verordnung (EU) 2016/679, keiner ausschließlich auf einer automatisierten Verarbeitung beruhenden Entscheidung unterworfen zu werden, besteht über die in Artikel 22 Absatz 2 Buchstabe a und c der Verordnung (EU) 2016/679 genannten Ausnahmen hinaus nicht, wenn die Entscheidung im Rahmen der Leistungserbringung nach einem Versicherungsvertrag ergeht und - 1.
dem Begehren der betroffenen Person stattgegeben wurde oder - 2.
die Entscheidung auf der Anwendung verbindlicher Entgeltregelungen für Heilbehandlungen beruht und der Verantwortliche für den Fall, dass dem Antrag nicht vollumfänglich stattgegeben wird, angemessene Maßnahmen zur Wahrung der berechtigten Interessen der betroffenen Person trifft, wozu mindestens das Recht auf Erwirkung des Eingreifens einer Person seitens des Verantwortlichen, auf Darlegung des eigenen Standpunktes und auf Anfechtung der Entscheidung zählt; der Verantwortliche informiert die betroffene Person über diese Rechte spätestens zum Zeitpunkt der Mitteilung, aus der sich ergibt, dass dem Antrag der betroffenen Person nicht vollumfänglich stattgegeben wird.
(2) Entscheidungen nach Absatz 1 dürfen auf der Verarbeitung von Gesundheitsdaten im Sinne des Artikels 4 Nummer 15 der Verordnung (EU) 2016/679 beruhen. Der Verantwortliche sieht angemessene und spezifische Maßnahmen zur Wahrung der Interessen der betroffenen Person gemäß § 22 Absatz 2 Satz 2 vor.
1. Panoramica
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1.3 Standard correlati
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3. Standard correlati
Standard
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SCF
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Automated Decision-Making Technology (ADMT) For Data Subject Actions
Description
Mechanisms exist to ensure data subject actions utilizing Automated Decision-Making Technology (ADMT) where computation replaces, or substantially replaces, human decisionmaking, conforms with all applicable statutory, regulatory and/or contractual obligations.
Possible Solutions & Considerations
Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2
∙ Inform users when automated decisions are made about them
Small Business (10-49 staff) / BLS Firm Size Classes 3-4
∙ ADMT disclosure policy in privacy notice
Medium Business (50-249 staff) / BLS Firm Size Classes 5-6
∙ Formal ADMT governance policy
∙ Disclosure requirements for automated decision-making
Large Business (250-999 staff) / BLS Firm Size Classes 7-8
∙ Enterprise ADMT governance program
∙ Transparency requirements
∙ Impact assessments
Enterprise (> 1,000 staff) / BLS Firm Size Class 9
∙ Enterprise ADMT governance framework
∙ Automated disclosure mechanisms
∙ GDPR Art. 22 and CCPA compliance
∙ DPIA program
SCR-CMM
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 ensure data subject actions utilizing Automated Decision-Making Technology (ADMT) where computation replaces, or substantially replaces, human decisionmaking, conforms with all applicable statutory, regulatory and/or contractual obligations.
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.
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