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AI Governance: Policies, Ethics & Compliance for Responsible AI
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Overview
Course Outline
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Artificial Intelligence is transforming industries, but with rapid adoption comes the challenge of governance, accountability, and compliance. Organisations must ensure AI systems are ethical, transparent, and aligned with both business goals and regulatory standards. AI Governance provides participants with the knowledge and tools to design and implement governance frameworks for AI initiatives. Covering risk management, ethical considerations, regulatory developments, and organisational accountability, this course ensures participants are equipped to lead responsible AI adoption.
By the end of this course, participants will be able to:
- Define AI governance and explain its importance in modern organisations.
- Identify the ethical, legal, and compliance risks of AI adoption.
- Evaluate emerging AI regulatory frameworks (UK, EU, US, and global).
- Develop AI governance structures, policies, and controls.
- Ensure transparency, accountability, and fairness in AI systems.
- Align AI initiatives with corporate strategy, risk management, and ESG principles.
- Monitor and audit AI systems for compliance and continuous improvement.
Who Should Attend?
- Executives and managers overseeing AI adoption.
- Risk, compliance, and legal professionals.
- Data scientists and AI project leaders.
- Policy advisors and governance officers.
- Organisations developing AI products or using AI in decision-making.
AI Governance: Policies, Ethics & Compliance for Responsible AI
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Employees of professional or formally regulated bodies are generally expected to have CPD accredited training. This type of accreditation ensures that the training is knowledgeable, informed and constantly updated. It ensures our standards as a company are kept high and consistent.
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