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AI Governance Foundations
584 students
What you'll learn
- Define AI governance in clear terms, explain its relevance, and describe the principles of accountability, transparency, fairness, and privacy.
- Identify and compare key global AI governance frameworks, including ISO/IEC 42001, NIST AI RMF, EU AI Act, OECD principles, and UNESCO ethics guidelines.
- Describe the AI lifecycle from design to retirement, and explain how governance supports monitoring, risk management, and system accountability.
- Apply governance practices to identify, assess, and mitigate risks across the AI lifecycle, ensuring ethical and reliable AI performance.
- Recognize the connection between AI governance, corporate governance, and compliance, highlighting roles, responsibilities, and auditing practices.
- Analyze common challenges, emerging trends, and real-world case studies to apply AI governance as a framework for responsible and ethical decision-making.
- Explain how AI governance builds trust, safeguards societal values, and aligns AI use with ethical responsibilities and human rights principles.
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Course content
7 sections • 30 lectures • 56m total length
Requirements
- General knowledge – No prior expertise in AI, governance, or compliance is required. A basic understanding of organizational processes is helpful but optional.
- Professional background – Designed for professionals, managers, and students interested in AI, ethics, compliance, or emerging technologies.
- Technical level – No coding, data science, or advanced technical skills are necessary. The course focuses on concepts, principles, and frameworks.
- Learning environment – Ability to follow an online presentation. Internet access and a device with audio are needed.
Description
Artificial intelligence has been used to support research on specific topics in this course; however, all final content has been written and validated by a certified subject matter expert.
This training course is an original work created for educational purposes. References to ISO/IEC 42001, NIST AI RMF, and other standards are for educational purposes only. These standards remain copyrighted by their respective organizations. Learners are encouraged to obtain the official standards for full details.
This training is provided by Safeshield. We’re a professional training provider that specializes in cybersecurity, compliance, risk management, and AI governance. Our goal is to give professionals the knowledge and skills required to advance their careers and get ahead of the competition. This free course is part of that goal. We want to make trusted, high-quality education accessible, and to support the development of responsible practices in new and emerging fields such as AI governance.
Our goal is to build your foundation in AI governance. By the end of the course, you should be able to clearly define what governance means in the context of AI, explain why it matters, and identify the core principles that guide it: accountability, transparency, fairness, and privacy.
You’ll also be introduced to the most important global frameworks that are helping to shape the way we implement AI. These include ISO 42001, the NIST AI Risk Management Framework, the EU AI Act, the OECD principles, and UNESCO’s ethics guidelines.
We'll walk through the AI lifecycle, from design and development to deployment, monitoring, and even system retirement. Along the way, we’ll discuss risk management, roles and responsibilities, policies and procedures, and the importance of auditing and monitoring.
Finally, we’ll connect AI governance to broader corporate governance and compliance requirements. We'll address the common challenges that organizations face, highlight emerging trends that are shaping the future, and explore real-world case studies that bring these issues to life.
Who this course is for:
- Business leaders and executives – Those responsible for setting strategy, ensuring compliance, and embedding responsible AI practices into governance structures.
- Compliance, risk, and governance professionals – Individuals working in regulatory compliance, GRC, ethics, or audit who need to understand AI-specific governance.
- Technology managers and project leads – Professionals overseeing AI projects, digital transformation, or IT systems who must align technology with governance frameworks.
- Policy makers and regulators – Public sector and NGO staff involved in shaping, applying, or assessing AI-related policies and standards.
- Students and early-career professionals – Those entering fields such as AI, data science, law, or business who want a foundational understanding of AI governance.
- Consultants and advisors – Professionals supporting organizations in AI adoption, compliance readiness, or ethical technology assessments.
- This course is aimed at anyone involved in the responsible development, deployment, or oversight of AI systems, from corporate managers to regulators.