Responsible AI
Principles and operating controls for accountable, transparent and proportionate AI use.
Control areas
Clear business purpose
Document the applicable requirement, accountable owner, evidence and review cadence.
Human accountability
Document the applicable requirement, accountable owner, evidence and review cadence.
Proportionate risk assessment
Document the applicable requirement, accountable owner, evidence and review cadence.
Appropriate human oversight
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Transparency and documentation
Document the applicable requirement, accountable owner, evidence and review cadence.
Quality and bias evaluation
Document the applicable requirement, accountable owner, evidence and review cadence.
Monitoring and incident handling
Document the applicable requirement, accountable owner, evidence and review cadence.
Periodic review
Document the applicable requirement, accountable owner, evidence and review cadence.
Evidence-first approach
Trust claims should be supported by actual controls, records, configuration, testing or contracts. DataLgorithmics does not present unverified certifications or compliance statuses as facts.