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R-FB-A: Stream A
R-FB-B: Stream B
Maturity Level 1
Maturity Level 2
Maturity Level 3
R-FB-A-1
R-FB-A-1: Is there initial awareness and informal identification of potential biases in AI systems?
Ad Hoc Response:
Bias addressed inconsistently, primarily after complaints or incidents.
Unclear Roles:
Responsibilities assigned informally, without defined roles or documented processes.
Lack of Tools:
No standardized tools, checkpoints, or processes established for bias assessment.
0
1
2
3
Description
Ad Hoc Response:
Bias addressed inconsistently, primarily after complaints or incidents.
Unclear Roles:
Responsibilities assigned informally, without defined roles or documented processes.
Lack of Tools:
No standardized tools, checkpoints, or processes established for bias assessment.
R-FB-A-2
R-FB-A-2: Are any informal or ad hoc bias mitigation steps currently in place?
Defined Policies:
Formal policies, charters, and governance forums guide bias mitigation efforts.
Tool Integration:
Fairness assessment tools and documentation used at key project milestones.
Regular Assessments:
Regular bias evaluations conducted but not always tied explicitly to KPIs or business outcomes.
0
1
2
3
Description
Defined Policies:
Formal policies, charters, and governance forums guide bias mitigation efforts.
Tool Integration:
Fairness assessment tools and documentation used at key project milestones.
Regular Assessments:
Regular bias evaluations conducted but not always tied explicitly to KPIs or business outcomes.
R-FB-A-3
R-FB-A-3: Are systematic procedures established to regularly identify and assess biases in AI models?
Automated Monitoring:
Continuous, automated bias detection tools trigger real-time remediation.
Enterprise-Wide Metrics:
Fairness KPIs tracked organization-wide, integrated into business performance metrics and OKRs.
Process Integration:
Fairness assessments enforced through automated CI/CD pipelines and ongoing production validations.
0
1
2
3
Description
Automated Monitoring:
Continuous, automated bias detection tools trigger real-time remediation.
Enterprise-Wide Metrics:
Fairness KPIs tracked organization-wide, integrated into business performance metrics and OKRs.
Process Integration:
Fairness assessments enforced through automated CI/CD pipelines and ongoing production validations.