Klarheit
Artificial Intelligence

AI Governance, Ethics and Risk Management

AI Governance, Ethics and Risk Management prepares delegates to apply current best practice in artificial intelligence with confidence.

3 daysClassroomOnline
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Overview

AI Governance, Ethics and Risk Management responds to a clear need across digital transformation & innovation, for professionals who can apply sound artificial intelligence practice under real world conditions. The programme is structured to build capability step by step, from foundational concepts through to applied practice.

By the end of the programme, participants will have the confidence and practical grounding to take on greater responsibility for artificial intelligence within their organisation.

Course objectives

  • Formulate metrics and KPIs to track progress in artificial intelligence.
  • Assess risk and compliance considerations relevant to artificial intelligence.
  • Strengthen stakeholder engagement and communication around artificial intelligence.
  • Analyse case studies to draw out lessons relevant to artificial intelligence.
  • Evaluate current approaches to artificial intelligence and identify areas for improvement.
  • Develop the tools and templates needed to support artificial intelligence in practice.

Who should attend

  • Cross functional team members collaborating on artificial intelligence projects
  • Department heads overseeing artificial intelligence functions
  • HR and learning and development professionals supporting artificial intelligence initiatives
  • Senior executives shaping organisational strategy around artificial intelligence
  • Managers and team leaders responsible for artificial intelligence
  • Officers and coordinators working directly in artificial intelligence

Course outline

Module 1: Foundations of Artificial Intelligence

  • Debate the merits of competing approaches in an open forum
  • Discuss how artificial intelligence varies across different sectors and regions
  • Set measurable goals and success criteria for the weeks ahead
  • Map out a communication plan for engaging key stakeholders
  • Practice giving and receiving structured peer feedback

Module 2: Case Studies and Practical Application

  • Consider the ethical dimensions of decisions made in artificial intelligence
  • Discuss current trends and the future direction of artificial intelligence
  • Analyse a real organisational setback and extract the lessons learned
  • Receive facilitator feedback on individual and group work

Module 3: Stakeholder Engagement and Communication

  • Review a checklist of quick wins to apply immediately after the course
  • Identify early warning signs of common project or process failures
  • Prioritise competing demands using a simple decision framework
  • Identify common pitfalls and how to avoid them

Module 4: Technology and Innovation in Artificial Intelligence

  • Review key concepts and terminology used in artificial intelligence
  • Diagnose a workplace scenario and propose a course of action
  • Benchmark current practice against recognised industry standards
  • Work through a short simulation exercise in pairs
  • Walk through a step by step implementation checklist

Module 5: Planning and Implementation

  • Apply frameworks to a live workplace scenario
  • Examine real world case studies and lessons learned
  • Compare approaches used across different organisations
  • Assess the resourcing and budget implications of proposed changes
  • Evaluate the strengths and weaknesses of common artificial intelligence models

Module 6: Action Planning and Implementation

  • Draft a short brief communicating artificial intelligence priorities to senior leadership
  • Review sample templates and adapt them for your own organisation
  • Draft key performance indicators to monitor progress
  • Close with a personal commitment to three specific actions

Training methodology

  • Facilitated by practitioners with direct industry experience in the subject area.
  • Delivered through a blend of expert facilitation, structured input and interactive discussion.
  • Reinforced with real world case studies drawn from relevant industries and regions.
  • Encourages active participation through scenario based problem solving.

Accreditation

Delegates who complete AI Governance, Ethics and Risk Management receive a Klarheit Certificate of Completion, recognising the hours of training undertaken and the topics covered. Certificates are issued at the close of the programme and can be used to support continuing professional development records.

Schedule

Upcoming sessions

Choose the city, date and delivery mode that works best for you or your team.

HarareNext
13 Sept 2026 to 15 Sept 2026
USD 2,180Register
Live Online
5 Feb 2027 to 7 Feb 2027
USD 1,650Register
Johannesburg
19 May 2027 to 21 May 2027
USD 2,540Register
Victoria Falls
17 Jul 2027 to 19 Jul 2027
USD 2,318Register
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AI Governance, Ethics and Risk Management

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