Certified AI Risk & Governance Assessor (CARGA) Certification Program by Tonex
This certification equips professionals to audit AI systems. It provides a comprehensive understanding of AI risk and governance. Gain expertise in ethical AI practices and regulatory compliance. Enhance your career in AI auditing.
Audience:
AI auditors, compliance officers, risk managers, data scientists, and professionals involved in AI system oversight.
Learning Objectives:
- Understand AI risk and governance frameworks.
- Evaluate AI system compliance with regulations.
- Assess ethical implications of AI deployment.
- Develop AI audit methodologies.
- Identify and mitigate AI-related risks.
- Apply best practices for AI governance.
Program Modules:
Module 1: Foundations of AI Risk and Governance
- Introduction to AI governance.
- Key regulatory frameworks.
- Ethical principles in AI.
- AI risk assessment methodologies.
- Understanding AI bias and fairness.
- AI accountability and transparency.
Module 2: AI System Audit and Compliance
- Audit planning and execution.
- Compliance with AI standards.
- Data privacy and security in AI.
- AI system documentation.
- Audit reporting and findings.
- Continuous monitoring of AI systems.
Module 3: Ethical AI and Responsible Innovation
- Ethical considerations in AI development.
- Impact of AI on society.
- Responsible AI innovation practices.
- Addressing algorithmic bias.
- Stakeholder engagement in AI ethics.
- Building ethical AI frameworks.
Module 4: Risk Management in AI Deployment
- Identifying AI-related risks.
- Risk mitigation strategies.
- AI system vulnerability assessments.
- Incident response planning.
- Managing AI operational risks.
- AI system resilience.
Module 5: AI Governance Frameworks and Standards
- Global AI governance initiatives.
- Industry-specific AI standards.
- Developing internal AI policies.
- Implementing AI governance structures.
- AI governance best practices.
- Evaluating governance effectiveness.
Module 6: Legal and Regulatory Landscape of AI
- AI legal liabilities.
- Data protection laws and AI.
- Intellectual property in AI.
- AI regulatory compliance.
- Cross-border AI regulations.
- Future trends in AI law.
Exam Domains:
- AI Regulatory Compliance
- Ethical AI Implementation
- Data Governance in AI
- AI System Integrity
- AI Risk Mitigation
- AI Operational Safeguards
Course Delivery:
The course is delivered through lectures and interactive discussions.
Assessment and Certification:
Participants are assessed through quizzes and a final exam. Upon successful completion, participants receive a CARGA certificate.
Question Types:
- Multiple Choice Questions (MCQs)
- True/False Statements
- Scenario-based Questions
- Fill in the Blank Questions
- Matching Questions
- Short Answer Questions
Passing Criteria:
To pass the CARGA Certification exam, candidates must achieve a score of 70% or higher.
Enroll today to become a Certified AI Risk & Governance Assessor.