AI System Data Governance Framework

An AI System Data Governance Framework is a data governance framework that manages AI system data assets that can support AI system data compliance tasks.

• AKA: AI Data Governance Framework, Machine Learning Data Governance Framework, AI System Data Management Framework.
• Context:
  • It can typically enforce AI System Data Privacy Policies through AI system data access controls.
  • It can typically implement AI System Data Quality Standards via AI system data validation processes.
  • It can typically maintain AI System Data Lineage Tracking with AI system data transformation records.
  • It can typically integrate AI System Data Security Controls through AI system data encryption methods.
  • It can typically support AI System Data Lifecycle Management via AI system data retention policies.
  • ...
  • It can often facilitate AI System Data Compliance Audits through AI system data audit trails.
  • It can often enable AI System Data Risk Assessments via AI system data risk matrices.
  • It can often coordinate AI System Data Governance Committees for AI system data governance decisions.
  • It can often establish AI System Data Classification Schemes with AI system data sensitivity levels.
  • ...
  • It can range from being a Basic AI System Data Governance Framework to being an Enterprise AI System Data Governance Framework, depending on its AI system data governance scope.
  • It can range from being a Manual AI System Data Governance Framework to being an Automated AI System Data Governance Framework, depending on its AI system data governance automation level.
  • ...
  • It can integrate with AI System Security Governance Frameworks for AI system data security alignment.
  • It can connect to AI Model Training Data Management Systems for AI system training data control.
  • It can interface with AI System Compliance Management Platforms for AI system regulatory tracking.
  • It can communicate with AI Data Pipeline Security Architectures for AI system data flow protection.
  • ...
• Example(s):
  • Enterprise AI System Data Governance Frameworks, such as:
    • GDPR-Compliant AI System Data Governance Framework implementing AI system data privacy regulations.
    • Healthcare AI System Data Governance Framework enforcing AI system medical data standards.
    • Financial AI System Data Governance Framework managing AI system financial data compliance.
  • Cloud-Based AI System Data Governance Frameworks, such as:
    • AWS AI System Data Governance Framework using AI system cloud data services.
    • Azure AI System Data Governance Framework leveraging AI system data governance tools.
    • Google Cloud AI System Data Governance Framework implementing AI system data catalogs.
  • Open Source AI System Data Governance Frameworks, such as:
    • Apache Atlas AI System Data Governance Framework providing AI system metadata management.
    • DataHub AI System Data Governance Framework enabling AI system data discovery.
  • ...
• Counter-Example(s):
  • General Data Governance Framework, which lacks AI system-specific data requirements.
  • AI System Code Governance Framework, which manages AI system code assets rather than AI system data assets.
  • Database Management System, which focuses on data storage without AI system data governance capabilities.
• See: AI System Security Governance Framework, Data Governance Standard, AI Data Pipeline, SOC 2 Type II Compliance Framework, ISO/IEC 27001 Standard, AI Model Training Data Governance Policy, Machine Learning Operations Framework.

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