ATHENA maps every API endpoint to specific regulatory requirements, ensuring your AI systems remain compliant.
Supported Regulations
Regulation
Jurisdiction
Deadline
Penalties
Endpoint → Regulation Mapping
Endpoint
EU AI Act
Texas TRAIGA
Colorado
FDA
EU AI Act Article 14
Article 14(4)(b): Automation Bias Detection
Requirement: "The natural person to whom human oversight is assigned... is able to... remain aware of the possible tendency of automatically relying on the output produced by a high-risk AI system (automation bias)"
ATHENA Solution: Trust Calibration Engine (/calibrate)
Article 14(4)(d): Audit Trail
Requirement: "The natural person... is able to... correctly interpret the high-risk AI system's output"
ATHENA Solution: Complete decision logging (/log, /audit-trail)
Article 14(5): Reporting
Requirement: Operators must maintain documentation of oversight measures.
ATHENA Solution: Compliance exports (/export with template: 'eu_ai_act')
Article 10: Bias Detection
Requirement: Training data must be "relevant, representative, free of errors and complete"
ATHENA Solution: Bias detection engine (/detect-bias, /bias/subgroups)
§ 2056.002: Meaningful Human Review
Requirement: Consequential decisions require meaningful human review, not rubber-stamping.
ATHENA Solution:
Trust calibration scoring identifies rubber-stamping patterns
Override quality tracking ensures genuine human engagement
§ 2056.103: Semi-Annual Audits
Requirement: Covered entities must conduct bias audits twice per year.
ATHENA Solution:
Generate compliance reports: template: 'texas_traiga'
Automated bias monitoring via /bias/feed
Colorado AI Act
§ 6-1-1303: Impact Assessment
Requirement: Annual impact assessment for high-risk AI systems.
ATHENA Solution:
Trust score trends over time
Subgroup performance analysis
Automated report generation
§ 6-1-1304: Consumer Notification
Requirement: Notify consumers when AI is used in consequential decisions.
ATHENA Solution:
Audit trail with timestamps
Decision logging with context
FDA AI/ML Guidelines
Requirement: Continuous monitoring of AI/ML device performance across demographics.
ATHENA Solution:
Real-time bias detection by subgroup
Accuracy tracking across age, gender, ethnicity
Automated alerts when performance degrades
API Response Example
Every ATHENA response includes regulation mapping:
Compliance Reports
Generate regulation-specific reports:
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