Governance & Responsible AI Leader
Tasks
- Assess adversarial attack risk
- Conduct stage gate review and approvals
- Coordinate with legal security privacy compliance teams
- Define AI governance framework
- Define API access controls for AI
- Define access controls for AI data
- Define data residency standards
- Define human-in-the-loop requirements
- Define model validation requirements
- Enable drift detection and lifecycle management
- Ensure auditability and traceability for AI models
- Establish IP protection guidelines for AI
- Establish Responsible AI principles
- Establish bias evaluation standards
- Govern generative AI tool usage guidance
- Maintain AI governance policies
- Maintain governance decision records
- Oversee cybersecurity standards for AI systems
- Review AI tools and vendors for security and IP risk
- Set data minimization requirements
- Set data provenance standards
- Translate regulatory requirements into governance standards
Perks/Benefits
Skills/Tech-stack
API Security | Artificial Intelligence | Auditability | Bias Evaluation | Cybersecurity | Data Privacy | Data provenance | Drift Detection | Explainability | Generative AI | Human oversight | Intellectual Property | Machine Learning | Management System | Model Risk Management | Model risk | Quality Management System | Quality management | Regulatory Compliance | Risk Management | Traceability
Education
Roles
AI | AI Governance Leader | AI Leader | Responsible AI | Responsible AI Leader
Regions
Countries
States
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