Training on Ethics, Governance, and Responsible AI for Leaders
Introduction to NLP covering text processing, sentiment analysis, classification, named entity recognition, and modern transformer-based approaches.
Next intake
20 Jul 2026 · Nakuru
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Foundation
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
This course equips senior leaders with the knowledge and frameworks to ensure AI is developed and deployed responsibly, ethically, and in compliance with emerging regulations. Participants will learn to identify AI-related risks, establish governance structures, and build trust with stakeholders through transparent and accountable AI practices.
Who Should Attend:
- Chief Ethics and Compliance Officers
- Chief Risk Officers and Heads of Risk Management
- Chief Data Officers and Heads of Data Governance
- Legal and Regulatory Affairs Directors
- Board Members and Audit Committee Chairs
What you'll walk away with
- To equip leaders with frameworks for responsible AI governance
- To enable leaders to identify and mitigate AI-related risks
- To provide tools for implementing ethical AI principles
- To build leadership capability for communicating responsible AI
What we cover, module by module
Module 1: Principles of Responsible and Ethical AI
- Understanding ethical AI principles: fairness, accountability, transparency
- Identifying and addressing algorithmic bias
- Managing privacy and data protection in AI
- Ensuring AI explainability and interpretability
- Promoting AI inclusivity and accessibility
- Case Study: Analyzing ethical issues in an AI application
Module 2: AI Risk Identification and Assessment
- Identifying AI-related risks: bias, discrimination, security, safety
- Conducting AI risk assessments
- Prioritizing AI risks for mitigation
- Managing emerging AI risks
- Building AI risk management frameworks
- Case Study: Conducting an AI risk assessment
Module 3: Developing AI Governance Frameworks
- Designing AI governance structures
- Creating AI policies and standards
- Establishing AI oversight and accountability mechanisms
- Implementing AI monitoring and auditing processes
- Managing AI vendor and partner risks
- Case Study: Developing an AI governance framework
Module 4: Regulatory Compliance and AI Laws
- Understanding AI regulations and standards
- Complying with data protection and privacy laws
- Managing AI liability and legal risks
- Navigating emerging AI regulatory landscapes
- Preparing for AI regulatory audits and reporting
- Case Study: Analyzing an AI regulatory requirement
Module 5: Building Trust and Transparency in AI
- Communicating AI decisions and processes transparently
- Engaging stakeholders on AI ethics and governance
- Building trust in AI through responsible practices
- Managing AI-related reputation risks
- Reporting on AI governance and ethics
- Case Study: Developing an AI transparency and communication plan
Where the change lands
Organizational Impacts:
- Mitigated AI-related ethical, legal, and reputational risks
- Enhanced stakeholder trust and confidence in AI
- Compliance with emerging AI regulations and standards
- Responsible and sustainable AI adoption
Individual Impacts:
- Ability to identify and assess AI-related risks
- Skills in developing and implementing AI governance frameworks
- Knowledge of ethical AI principles and their application
- Expertise in communicating responsible AI practices to stakeholders
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
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For corporate teams
Training 10+ professionals?
We deliver Training on Ethics, Governance, and Responsible AI for Leaders 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.