D-SR-A-1: Are security requirements informally identified or sporadically documented?
Baseline Ethical Guidelines: Document foundational ethical guidelines addressing bias, fairness, transparency, and compliance standards (e.g., GDPR, EU AI Act).
Basic Compliance Measures: Initial strategies for meeting regulatory requirements (e.g., data privacy, user consent).
General Awareness: Stakeholders have basic awareness of ethical and compliance obligations.
Description
Baseline Ethical Guidelines: Document foundational ethical guidelines addressing bias, fairness, transparency, and compliance standards (e.g., GDPR, EU AI Act).
Basic Compliance Measures: Initial strategies for meeting regulatory requirements (e.g., data privacy, user consent).
General Awareness: Stakeholders have basic awareness of ethical and compliance obligations.
D-SR-A-2
D-SR-A-2: Are informal verification processes occasionally applied to security requirements?
Standardized Bias and Fairness Tools: Implement standardized tools for bias detection and fairness measurement within training pipelines and application outputs.
Integrated Compliance Processes: Consistent application of compliance controls (e.g., automated checks for GDPR compliance, consent verification).
Structured Documentation: Ethical and compliance measures systematically documented and regularly reviewed.
Description
Standardized Bias and Fairness Tools: Implement standardized tools for bias detection and fairness measurement within training pipelines and application outputs.
Integrated Compliance Processes: Consistent application of compliance controls (e.g., automated checks for GDPR compliance, consent verification).
Structured Documentation: Ethical and compliance measures systematically documented and regularly reviewed.
D-SR-A-3
D-SR-A-3: Are security requirements formally documented, clearly defined, and consistently communicated?
Real-Time Compliance Monitoring: Automated compliance checks integrated throughout AI system lifecycles, with real-time audit trails and immediate alerting mechanisms.
Expert Human Oversight: Complex compliance decisions trigger expert human review to balance automation with accountability.
Predictive Compliance Management: Utilize predictive analytics to proactively identify emerging compliance and ethical risks.
Description
Real-Time Compliance Monitoring: Automated compliance checks integrated throughout AI system lifecycles, with real-time audit trails and immediate alerting mechanisms.
Expert Human Oversight: Complex compliance decisions trigger expert human review to balance automation with accountability.
Predictive Compliance Management: Utilize predictive analytics to proactively identify emerging compliance and ethical risks.