Master Responsible AI, Ethical Governance, and Risk Management
Master the principles, frameworks, and governance structures required to design, deploy, and manage Artificial Intelligence (AI) systems responsibly, ensuring fairness, transparency, and compliance.
Responsible AI, Ethical Governance & Risk Management
Master the principles, frameworks, and governance structures required to design, deploy, and manage Artificial Intelligence (AI) systems responsibly, ensuring fairness, transparency, and compliance.
Course Overview
This course provides advanced knowledge and practical frameworks for designing, governing, and managing Artificial Intelligence (AI) systems responsibly. It focuses on ethical principles, risk management, legal compliance, and governance structures required to ensure AI systems are fair, transparent, accountable, and aligned with organisational values and public interest. Participants will gain the capacity to identify and mitigate AI-related risks, establish effective governance mechanisms, and embed responsible AI practices across the AI lifecycle—supporting trust, compliance, and sustainable AI adoption across public and private sector organisations.
By the end of this course, participants will be able to:
- Understand responsible AI principles and ethical frameworks
- Identify and assess risks associated with AI systems across their lifecycle
- Design AI governance structures, policies, and controls
- Address bias, fairness, transparency, and accountability challenges
- Align AI initiatives with legal, regulatory, and compliance requirements
- Strengthen organisational oversight and risk management for AI adoption
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