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Ideal Workplace Solutions
NITA AccreditedAdvancedPhysical + Virtual5 daysTOAE287

Training on AI Ethics and Governance

Gain practical skills in AI ethics, governance, and regulatory compliance for sustainable innovation.

Next intake

20 Jul 2026 · Nakuru

View all dates

Duration

5 days

Live instruction

Delivery

Physical + Virtual

Cohort based

Level

Advanced

Working professionals

Certification

NITA reimbursable

For Kenyan cohorts

Language

English

All materials

Overview

About this programme

This course explores the ethical, legal, and governance challenges associated with the design, deployment, and regulation of Artificial Intelligence (AI) systems. Participants will gain a deep understanding of responsible AI principles, bias mitigation, transparency, accountability frameworks, and global standards that guide ethical AI implementation. Through a combination of lectures, discussions, and case studies, the course empowers professionals to make informed decisions when developing, procuring, or managing AI-driven systems in both public and private sectors.

Duration

5 Days

Who Should Attend

  • AI and data science professionals

  • Policymakers and legal experts in technology regulation

  • Corporate governance and compliance officers

  • Research and ethics board members

  • Technology leaders and project managers

Learning outcomes

What you'll walk away with

By the end of the course, participants will be able to:

  • Understand the ethical dimensions and societal impacts of AI systems.

  • Apply global AI ethics principles and governance models.

  • Identify and mitigate algorithmic bias, discrimination, and data misuse.

  • Develop and implement governance frameworks for AI accountability.

  • Evaluate compliance with laws, standards, and ethical codes in AI operations.

Course modules

What we cover, module by module

Module 1: Foundations of AI Ethics and Responsible Innovation

  • Understanding the ethical challenges in AI and automation

  • Principles of fairness, accountability, transparency, and human oversight

  • Global trends in AI ethics and governance

  • Case Study: Applying ethical principles to AI-based decision-making

Module 2: Data Ethics, Privacy, and Bias Mitigation

  • Ethical data sourcing, privacy protection, and informed consent

  • Identifying and addressing bias in data and algorithms

  • Balancing innovation with data protection regulations

  • Case Study: Managing data ethics in predictive analytics systems

Module 3: Legal and Regulatory Frameworks for AI Governance

  • Overview of global AI regulatory initiatives (EU AI Act, OECD, UNESCO)

  • Intellectual property, liability, and accountability in AI systems

  • Developing internal compliance frameworks

  • Case Study: Designing a compliance roadmap for AI adoption

Module 4: Building Ethical and Transparent AI Systems

  • Integrating ethics-by-design in AI development

  • Transparency and explainability in AI decision-making

  • Stakeholder engagement and communication strategies

  • Case Study: Implementing transparency mechanisms in financial AI applications

Module 5: Governance, Risk, and Future Challenges in AI

  • Establishing governance structures for AI oversight

  • Managing ethical risks and impact assessment methodologies

  • The future of AI policy, governance, and sustainability

  • Case Study: Creating an organizational AI ethics and governance framework

Impact

Where the change lands

Organizational Impact

  • Improved AI governance and compliance with ethical standards

  • Strengthened public trust through responsible AI adoption

  • Reduced legal and reputational risks from AI misuse

  • Enhanced collaboration between technical and policy teams

Individual Impact

  • Deep understanding of ethical AI principles and frameworks

  • Ability to design and implement governance mechanisms

  • Improved capacity to evaluate AI risks and compliance issues

  • Recognition as a responsible AI practitioner

Dates and locations

Upcoming intakes

Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.

Full calendar
FAQs

Common questions.

Still not sure? Send us a note and a facilitator will get back to you within a business day.

No, the course is designed for both technical and non-technical professionals.

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Course finder

Find the right course for you

Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.

For corporate teams

Training 10+ professionals?

We deliver Training on AI Ethics and Governance in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.

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