Data Governance, Privacy & Integrity in Artificial Intelligence (AI) Seminar (Jos)

About Course

This DFK seminar provides an in-depth understanding of data governance, privacy
principles, ethical stewardship, and integrity frameworks essential for responsible
Artificial Intelligence (AI) development and deployment. Participants will explore the
lifecycle of data in AI systems, regulatory compliance requirements (GDPR, CCPA, AI
Act, and others), risk mitigation, and best practices for ensuring transparency,
fairness, and accountability in AI models.
The program blends theoretical foundations with hands-on exercises to help
organizations build trustworthy AI systems that comply with global standards and
maintain public confidence.

What Will You Learn?

1. Understand key concepts in data governance and privacy within AI ecosystems.
2. Recognize risks and vulnerabilities related to data integrity, bias, and algorithmic decision-making.
3. Apply governance frameworks that ensure fairness, accuracy, accountability, and explainability.
4. Implement privacy-preserving techniques such as anonymization, differential privacy, and secure data handling.
5. Navigate data protection laws and emerging AI regulations.
6. Establish ethical guidelines and governance structures for AI projects.
7. Evaluate the integrity and reliability of AI-driven outputs.

Course Curriculum

Module 1: Introduction to AI Governance

Module 2: Fundamentals of Data Governance in AI

Module 3: Privacy Principles and Regulatory Compliance

Module 4: Data Integrity & Security in AI Systems

Module 5: Ethical AI, Fairness & Bias Mitigation

Module 6: Governance Models for Trustworthy AI

Module 7: Emerging Trends & Future of AI Governance

Module 8: Practical Workshop & Final Assessment

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