AI Ethics & Governance Professional Certification Framework

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.

πŸ› οΈ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

πŸ“šCourse 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.

πŸ“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.

πŸ”—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)

πŸ§‘β€πŸŽ“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.

AI Ethics & Governance Professional Certification Framework Overview.