Overview
Course Outline
Scheduled Dates

Course Overview

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.

Objective:

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.

Course Outline

Day 1 – Introduction to AI Governance

What AI governance is and why it matters.
The link between AI, ethics, and compliance.
The risks of unregulated AI use.
Key stakeholders and responsibilities in AI governance.

Day 2 – Legal and Regulatory Landscape

Overview of AI regulations (EU AI Act, UK/EU data protection laws, US frameworks).
Legal and regulatory approaches to AI governance in the Middle East or Gulf region
Global developments in AI governance.
Practical legal risk assessments for AI implementation

Day 3 – Ethical AI and Responsible Practices

Principles of ethical AI: fairness, accountability, transparency, explainability.
Bias, discrimination, and human oversight in AI systems.
Incorporating ESG and sustainability into AI governance.
Ethical considerations tied specifically to legal accountability and compliance

Day 4 – Designing AI Governance Frameworks

Policies, structures, and committees for AI oversight.
Risk assessment tools for AI adoption.
Monitoring and auditing AI systems.
Data governance and security in AI environments.

Day 5 – Implementation, Auditing, and Continuous Improvement

Embedding AI governance into organisational culture.
Internal controls and reporting structures.
Case studies or real-world examples of how organizations develop and enforce AI policies.

Schedule & Fees

3 For 2Offer

Get the most out of group training with our special discount! Register 3 of your participants together on the same course and only pay for 2.

Select Month

All
October
December

Location

All
Geneva
London

New

AI Governance: Policies, Ethics & Compliance for Responsible AI

Date: 06 - 10 Oct 2025

Duration: 5 Days

Venue: Geneva

Price: $6,700

New

AI Governance: Policies, Ethics & Compliance for Responsible AI

Date: 15 - 19 Dec 2025

Duration: 5 Days

Venue: London

Price: $5,900

AI Governance: Policies, Ethics & Compliance for Responsible AI

Date: 15 - 19 Dec 2025

Duration: 5 Days

Venue: London

Price: $ 5,900

Questions? Speak to our friendly training advisor

John Bayson

Chat on Whatsapp

john@londontfe.com

+44 2071836657

CPD Standards

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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