Training on AI Ethics, Governance & Responsible Implementation
Build skills in ethical AI and governance. This course equips professionals to implement AI responsibly while addressing bias, privacy, and accountability.
Next intake
20 Jul 2026 · Nakuru
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
This course provides a comprehensive understanding of ethical, legal, and governance considerations in artificial intelligence (AI). Participants will gain practical knowledge on how to design, deploy, and manage AI systems responsibly while minimizing risks related to bias, privacy, accountability, and misuse. The course equips organizations with frameworks, policies, and tools to ensure AI adoption aligns with ethical principles, regulatory requirements, and organizational values.
Duration
5 Days
Who Should Attend
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Senior managers and decision-makers
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Policy, legal, compliance, and risk professionals
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ICT, digital transformation, and innovation teams
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HR, data protection, and ethics committee members
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Government, NGO, and development sector staff
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Researchers and academic administrators
What you'll walk away with
By the end of this course, participants will be able to:
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Understand core principles of ethical and responsible AI
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Identify risks related to bias, fairness, privacy, and transparency
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Apply AI governance frameworks and policies
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Support responsible AI implementation and oversight
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Align AI use with organizational values and regulatory standards
What we cover, module by module
Module 1: Foundations of AI Ethics
- Introduction to AI ethics and responsible AI
- Ethical principles: fairness, transparency, accountability, explainability
- Human-centered AI and societal impact
- Global AI ethics standards and guidelines
- Case Study:Ethical challenges in AI-driven decision systems
Module 2: Bias, Fairness & Risk Management
- Understanding algorithmic bias and discrimination
- Sources of bias in data and models
- Fairness assessment and mitigation strategies
- Risk identification and impact assessment
- Practical Session:Assessing bias risks in an AI use case
Module 3: AI Governance, Policy & Compliance
- AI governance structures and oversight mechanisms
- Developing AI policies and ethical guidelines
- Data protection, privacy, and consent
- Regulatory landscapes and compliance considerations
- Case Study:Implementing AI governance in a large organization
Module 4: Responsible AI Implementation
- Responsible AI lifecycle: design, deployment, monitoring
- Human-in-the-loop systems and accountability
- Transparency and explainability in AI systems
- Vendor management and procurement considerations
- Practical Session:Designing a responsible AI implementation checklist
Module 5: Monitoring, Auditing & Future Trends
- AI monitoring, auditing, and performance review
- Incident reporting and remediation
- Building an ethical AI culture
- Emerging trends in AI regulation and governance
- Capstone Activity:Developing an AI ethics and governance action plan
Where the change lands
Personal Impact
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Strong understanding of AI ethics and governance principles
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Improved ability to identify ethical risks in AI systems
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Increased confidence in making responsible AI decisions
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Enhanced capacity to engage in AI policy and oversight discussions
Organizational Impact
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Reduced ethical, legal, and reputational risks
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Stronger AI governance and accountability frameworks
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Improved compliance with data protection and AI regulations
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Trustworthy and transparent AI adoption
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.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
- NakuruNext
20 Jul → 24 Jul·In-Person
Book this intake - Kigali
20 Jul → 24 Jul·In-Person
Book this intake - Accra
20 Jul → 24 Jul·In-Person
Book this intake - Kisumu
27 Jul → 31 Jul·In-Person
Book this intake - Johannesburg
27 Jul → 31 Jul·In-Person
Book this intake - Dakar
27 Jul → 31 Jul·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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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, Governance & Responsible Implementation 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.