AI Ethics & Governance Professional Certification Framework
An overview of the competencies, tools, curriculum, and pathways for aspiring AI Ethics & Governance Professionals.
🎯Learning Outcomes & AI Competencies
Learners who complete this certification will:
- Assess AI Systems for Fairness and Bias: Apply advanced techniques to evaluate AI for fairness, ensuring ethical use.
- Ensure Transparency and Explainability: Conduct thorough audits of AI systems to guarantee clear, understandable AI decisions.
- Manage AI Security and Privacy: Understand and apply privacy regulations, data protection laws, and secure AI management practices.
- Conduct Comprehensive AI Risk Assessments: Implement NIST AI Risk Management Framework’s core functions (Map, Measure, Manage, Govern) effectively.
- Communicate AI Governance Issues Clearly: Effectively translate complex AI governance matters to organizational stakeholders and leadership.
- Develop Ethical AI Policies: Create and implement robust AI usage policies aligned with regulatory requirements and societal values.
🛠️Tools, Platforms & Software Mastery
Students will gain proficiency in:
- Bias Detection and Model Auditing Tools: Fairlearn, AI Fairness 360, LIME, Shapley values
- Risk Management Frameworks: NIST AI Risk Management Framework (RMF), UNESCO, IEEE ethical AI principles
- AI Compliance Tools: AI governance software, compliance management systems
- Regulatory Knowledge Bases: GDPR, CCPA, proposed US/EU AI regulatory frameworks
- Case Study Analysis: Practical evaluation of historical AI use cases, both successes and failures
📚Course Structure & Instructional Sequence
Module 1: Fundamentals of AI Ethics and Governance
Introduction to ethical principles, regulatory landscape, and societal implications of AI.
Module 2: Bias and Fairness Evaluation
Techniques and tools for detecting and mitigating bias in AI systems.
Module 3: Transparency, Explainability, and Auditing
Methods for auditing AI models, ensuring transparency and understandable decision-making.
Module 4: Privacy, Security, and AI Compliance
Regulatory frameworks, privacy standards, and secure management of AI systems.
Module 5: AI Risk Management and Governance
Practical application of NIST AI RMF and similar frameworks for comprehensive risk assessment.
Module 6: Capstone – AI Ethics and Governance Project
Real-world governance project demonstrating comprehensive ethical evaluation, risk management, and policy implementation.
📝Performance Assessments, Micro-Credentials & Capstone Projects
AI Governance Challenges:
Tasks include conducting bias audits, drafting AI usage policies, or performing risk assessments.
Micro-Credentials:
- "AI Fairness Evaluator"
- "Explainable AI Specialist"
- "AI Risk Management Professional"
Capstone Project Examples:
- Auditing a facial recognition AI tool for fairness and transparency.
- Creating an AI usage policy for a local business or educational institution.
🔗Crosswalk to Florida CTE Courses & Certifications
CTE Course Alignment: Complements Business Management & Administration, IT, and Cybersecurity pathways.
Industry Certification Alignment:
- Certified Information Privacy Professional (CIPP)
- Certified Ethical AI Professional
- CompTIA Security+ (covering AI-related security and governance)
🧑🎓Target Learner Levels
- High School: Grades 11-12 in business, IT, and cybersecurity-focused academies.
- Adult Technical Centers: Designed for professionals upskilling in compliance, governance, and AI management.
- State Colleges: Integrated as a College Credit Certificate within A.S. programs like Cybersecurity, Business Administration, or IT Governance.
🧱Stackability & Articulation Pathways
- High School to College Credit: Eligible for articulation into associate degree programs with governance or compliance concentrations.
- College Credentials: Stackable CCC towards broader A.S. degree programs in cybersecurity, business administration, or technology management.
- Higher Education Transferability: Credits transferable toward B.A.S. programs in Supervision and Management or IT Management.
🤝Industry Partnerships & Alignment
- Employer Advisory Board: Includes compliance officers, AI ethics specialists, business leaders, and regulatory authorities.
- Collaborations: Partnerships with NIST, IEEE, UNESCO, AI compliance organizations, and software providers.
- Community Governance Projects: Participation in community initiatives assessing AI fairness in public programs.
- Internships and Practical Learning: Opportunities with corporations, government agencies, and compliance consultancies focusing on ethical AI.
- Industry-Sponsored AI Ethics Challenges: Competitions and practical projects sponsored by ethics-focused organizations and technology firms.