Certified Responsible AI and Governance Specialist (CRAIGS) Certification Program by Tonex
The CRAIGS Certification Program equips professionals with the skills and knowledge to oversee responsible AI development within organizations. It focuses on establishing effective AI governance boards, implementing robust documentation and audit strategies, and ensuring alignment with internal policies and regulations.
Participants will learn to lead AI initiatives responsibly, navigate ethical and regulatory challenges, and report effectively to boards and regulatory bodies. With increasing AI adoption, the program highlights the impact on cybersecurity by addressing governance risks that could compromise data privacy, integrity, and organizational trust.
This certification empowers you to build resilient and ethical AI programs, safeguarding both business objectives and cybersecurity posture.
Learning Objectives:
- Understand principles of responsible AI and governance.
- Establish and manage AI governance frameworks.
- Conduct ethical risk and impact assessments.
- Design and use governance templates and checklists.
- Lead red teaming exercises for governance vulnerabilities.
- Report AI practices to boards and regulators effectively.
Target Audience:
- Chief AI Officers
- Governance Councils
- Product Policy Leads
- Board Members
- Cybersecurity Professionals
Program Modules:
Module 1: Establishing AI Governance Programs
- Defining governance vision and objectives
- Structuring governance boards and roles
- Setting policies and standards
- Integrating governance with business strategy
- Building organizational buy-in
- Monitoring and refining governance programs
Module 2: Role of Chief AI Ethics Officer (CAIEO)
- Key responsibilities of the CAIEO
- Stakeholder engagement strategies
- Balancing ethics and business goals
- Managing conflicts of interest
- Leading ethical review processes
- Reporting to leadership and regulators
Module 3: Internal Audit Programs for AI
- Designing internal AI audit procedures
- Identifying audit criteria and benchmarks
- Reviewing AI systems and datasets
- Reporting audit findings
- Implementing corrective actions
- Ensuring continuous compliance
Module 4: Ethical Risk Registers, Impact Assessments (RAIAs, DPIAs)
- Developing ethical risk registers
- Conducting Responsible AI Impact Assessments
- Implementing Data Protection Impact Assessments
- Prioritizing and mitigating risks
- Documenting assessment outcomes
- Aligning with global best practices
Module 5: Governance Templates and Board Checklists
- Creating policy templates and guidelines
- Board-level AI checklists
- Reporting templates for regulatory needs
- Aligning templates with internal policies
- Training board members on their use
- Updating templates as standards evolve
Module 6: Red Teaming AI for Governance Failures
- Planning red teaming exercises
- Identifying governance failure scenarios
- Executing tests to uncover weaknesses
- Analyzing red team findings
- Developing response strategies
- Institutionalizing lessons learned
Module 7: Reporting to Boards and Regulatory Bodies
- Preparing governance reports
- Framing AI practices for board review
- Communicating risks and mitigations
- Aligning with regulatory expectations
- Responding to regulator inquiries
- Ensuring transparency and accountability
Exam Domains:
- AI Governance Frameworks & Oversight
- Ethical Principles and Responsible AI
- Risk Management & Impact Evaluation
- Regulatory Compliance & Reporting
- Organizational Change & Stakeholder Engagement
- Continuous Improvement & Accountability in AI
Course Delivery:
The course is delivered through a combination of lectures, interactive discussions, and project-based learning, facilitated by experts in Certified Responsible AI and Governance Specialist (CRAIGS). Participants will have access to online resources, including readings, case studies, and tools for practical exercises.
Assessment and Certification:
Participants will be assessed through quizzes, assignments, and a capstone project. Upon successful completion of the course, participants will receive a certificate in Certified Responsible AI and Governance Specialist (CRAIGS).
Question Types:
- Multiple Choice Questions (MCQs)
- Scenario-based Questions
Passing Criteria:
To pass the Certified Responsible AI and Governance Specialist (CRAIGS) Certification Training exam, candidates must achieve a score of 70% or higher.
Take charge of responsible AI in your organization. Enroll today to become a trusted governance leader and help safeguard both innovation and security.