Leadership and Performance in AI Governance, Responsible AI & ISO 42001 Training Course in Dar es Salaam, Tanzania
Classroom training in Dar es Salaam · next cohort Oct 26, 2026 · from USD 4,000
When an AI system harms a customer or embarrasses an institution, the questions land on the executive team and the board, not on the data scientists who built it. Senior leaders need to direct AI with clear accountability, resource it properly and know whether their governance is actually working. Across ten days you learn to set AI policy and objectives under ISO/IEC 42001, apply the evaluate, direct and monitor model of ISO/IEC 38500 and its AI counterpart ISO/IEC 38507, design an operating model with committees, roles and decision rights, and build AI literacy and a speak-up culture.
The second week concentrates on performance: governance scorecards and KPIs, board reporting, management review, reskilling and job redesign, and steering the organisation through the days after an AI system fails in public. Simulations include a board meeting on a high-risk deployment and a public incident. It is aimed at chief executives, board members, chief risk, data, information and AI officers, strategy directors and heads of public agencies in banking, telecoms, health, NGOs and government. You leave with a leadership charter, a scorecard and a 100-day plan. Delivery is classroom, online or in-house, with a CPD-accredited certificate.
At a Glance
Training in Dar es Salaam, Tanzania
Dar es Salaam is Tanzania's largest city, main port and commercial capital.
More about training in Dar es Salaam →- Format
- Classroom, in Dar es Salaam
- Duration
- Mon - Fri (10 Days)
- Fee
- USD 4,000
- Next start dates
- Oct 26, 2026, Nov 23, 2026, Dec 21, 2026
- Certificate
- Certificate of Completion
- Airport
- Julius Nyerere International (DAR)
- Time zone
- East Africa Time (UTC+3)
- Currency
- Tanzanian shilling (TZS). Fees are listed in USD.
- Business districts
- City Centre, Upanga, Masaki and Oyster Bay
About this course
Responsibility for artificial intelligence now sits with leaders. Boards are asked how AI decisions are overseen, regulators expect named accountability, and staff look to executives for clear rules on which tools they may use and how. ISO/IEC 42001 makes this explicit: top management must demonstrate leadership and commitment, establish an AI policy, assign roles and authorities, and review the management system at planned intervals. Leaders who treat AI governance as a technical side project tend to end up with either uncontrolled experimentation or paralysis.
The Leadership and Performance in AI Governance, Responsible AI & ISO 42001 Training Course equips senior leaders to direct AI responsibly and to know whether their governance is delivering. The first week covers accountability under ISO/IEC 38507, AI strategy, policy and objectives, operating model design, capability and culture, and the measurement of governance performance. The second week moves to advanced practice: board oversight and executive reporting, leading workforce change, stakeholder trust and crisis leadership, governing value and continual improvement across an AI portfolio, and a capstone in which each participant prepares a leadership plan for their own organisation.
Sessions are discussion-led and built around executive simulations, case studies of AI successes and failures, and peer exchange between leaders from different sectors. Technical content is kept to what a leader needs in order to ask the right questions and judge the answers.
Training Objectives
Participants will leave able to:
- Articulate the accountabilities of boards and executives for AI under ISO/IEC 38507 and ISO/IEC 42001.
- Set an AI policy, objectives and risk appetite that align AI ambition with organisational strategy.
- Design a governance operating model with clear committees, roles and decision rights.
- Build AI literacy, ethical judgement and a speak-up culture across management and staff.
- Measure governance performance with a balanced set of KPIs, risk indicators and maturity ratings.
- Lead board oversight and management review using concise, decision-ready reporting.
- Steer workforce change, stakeholder engagement and crisis response when AI adoption meets resistance or failure.
- Develop a 100-day leadership plan for strengthening responsible AI in their organisation.
What you'll learn
Key Takeaways
Executives complete the programme with practical leadership tools:
- A personal accountability map for AI decisions in their organisation.
- A draft AI policy statement with objectives and red lines.
- A RACI chart and terms of reference for an AI governance committee.
- A role-based AI literacy plan covering the board, management and front-line staff.
- A responsible AI scorecard with KPIs, key risk indicators and maturity targets.
- A board reporting template and management review agenda.
- A crisis communication checklist for AI incidents.
- A 100-day leadership plan refined through peer challenge.
Training Methodology
Sessions are designed for experienced leaders and favour discussion and decision-making over lectures. The mix includes:
- Executive briefings that distil standards and regulation into leadership choices
- Case studies of AI deployments that succeeded, stalled or failed publicly
- Board and crisis simulations in which participants take executive and director roles
- Peer exchange between leaders from banking, telecoms, health, public service and NGOs
- Structured reflection and coaching on personal leadership practice
- A capstone 100-day plan challenged by a peer board
Day 1: AI Accountability at the Top
- Why AI governance is a leadership responsibility, not an IT task
- Evaluate, direct and monitor: ISO/IEC 38500 and its AI counterpart ISO/IEC 38507
- Board and executive roles in overseeing AI
- Where AI creates value and where it creates exposure
- The OECD AI Principles and the accountability expected of AI actors
- What ISO/IEC 42001 asks of top management
- Reflection: mapping who answers for each AI decision today
Day 2: Setting Direction Through Strategy, Policy and Objectives
- Linking AI ambition to organisational strategy and mandate
- Writing an AI policy that guides decisions rather than decorating a website
- Setting measurable AI objectives and plans to achieve them
- Defining risk appetite and red lines for AI use
- Prioritising use cases by value, feasibility and risk
- Rules for staff use of generative AI tools
- Workshop: drafting a policy statement and three objectives
Day 3: Designing the Governance Operating Model
- Centralised, federated and hub-and-spoke models
- AI governance committees and ethics review boards: mandate and membership
- Roles of the chief AI officer, risk owners, product owners and data stewards
- Decision rights and escalation for approving AI systems
- The three lines model applied to AI
- Integration with information security, privacy and enterprise risk structures
- Resourcing governance: people, budget and tools
- Workshop: RACI chart and committee terms of reference
Day 4: Capability, Culture and AI Literacy
- Competence and awareness requirements in ISO/IEC 42001
- AI literacy obligations under the EU AI Act
- Role-based learning paths for boards, managers and staff
- Ethical decision-making frameworks for managers
- Psychological safety and speak-up channels for AI concerns
- Managing unsanctioned shadow AI without stifling initiative
- Incentives and performance objectives that reward responsible behaviour
Day 5: Measuring Governance Performance
- Activity, output and outcome measures for AI governance
- KPIs, key risk indicators and key control indicators
- A balanced scorecard for responsible AI
- OKRs for AI governance teams
- Maturity models and governance self-assessment
- Monitoring and measurement requirements in ISO/IEC 42001
- Data sources, ownership and reporting frequency
- Workshop: building a first responsible AI scorecard
Day 6: Board Oversight and Executive Reporting
- Questions every board should ask about AI
- Designing concise, decision-ready reporting packs
- Reporting against risk appetite and AI objectives
- Management review: required inputs, outputs and decisions
- Constructive challenge and holding management to account
- Disclosures to investors, donors, regulators and the public
- Simulation: a board meeting deciding on a high-risk AI deployment
Day 7: Leading Change and Workforce Transition
- Change models applied to AI adoption, including Kotter and ADKAR
- Workforce impact assessment for automation and augmentation
- Reskilling, redeployment and job redesign
- Consulting staff, unions and staff representatives
- Designing meaningful human oversight roles
- Communicating AI adoption honestly and consistently
- Case study: introducing AI into a claims-processing unit
Day 8: Trust, Ethical Dilemmas and Crisis Leadership
- Mapping stakeholders and their expectations of AI
- Transparency commitments to customers and citizens
- An ethical dilemmas casebook for leaders
- Leading through a public AI failure in the first 72 hours
- Incident communication with regulators, media and affected people
- Nonconformity, corrective action and learning after incidents
- Simulation: a media crisis over an automated decision
Day 9: Governing Value, Portfolio and Continual Improvement
- Tracking benefits, costs and risks across an AI portfolio
- Stage gates for moving from pilot to production
- Holding suppliers and partners to governance commitments
- Retiring AI systems that underperform or no longer fit appetite
- Continual improvement of the AI management system
- Preparing leaders for certification audit interviews
- Benchmarking governance maturity against peers
- Exercise: a portfolio review of six AI initiatives
Day 10: Leadership Capstone and 100-Day Plan
- Diagnosing your organisation's AI governance position
- Prioritising leadership interventions
- Building the 100-day plan: quick wins, structures and measures
- Presenting the plan to a peer board
- Peer challenge and coaching
- Personal leadership commitments
- Course review and next steps
The programme is for senior people who answer for how their organisation uses AI:
- Chief executives, managing directors and their deputies
- Board directors and members of board risk, audit and technology committees
- Chief risk, compliance, data, information and technology officers
- Chief AI officers and heads of AI or digital transformation
- Directors of strategy, operations and human resources
- Principal secretaries, agency heads and senior civil servants overseeing digital services
- Country directors and senior managers in NGOs and development organisations
- General counsel and company secretaries
Leaders who take part in all ten days and present their 100-day plan at the capstone receive a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy.
The certificate states the programme, dates and mode of delivery, and the policy statement, scorecard and leadership plan developed during the course remain the participant's to use and build on.
Choose Where You Want to Learn
Leadership and Performance in AI Governance, Responsible AI & ISO 42001 Training Course Venues
TanzaniaDar es SalaamNext Oct 26· 13 dates$4,000Viewing- TanzaniaArushaNext Nov 9· 13 dates$3,800
- TanzaniaDodomaNext Oct 26· 13 dates$3,600
- TanzaniaZanzibarNext Nov 16· 13 dates$5,200
KenyaNairobiNext Nov 9· 13 dates$3,000- KenyaMombasaNext Oct 26· 13 dates$3,200
- KenyaNaivashaNext Nov 2· 13 dates$3,000
- KenyaKisumuNext Oct 26· 13 dates$3,000
- KenyaMachakosNext Nov 2· 13 dates$3,200
UgandaKampalaNext Nov 2· 13 dates$3,800
RwandaKigaliNext Oct 26· 13 dates$3,800
NigeriaLagosNext Nov 16· 13 dates$5,600- NigeriaAbujaNext Nov 9· 13 dates$5,600
South AfricaPretoriaNext Nov 2· 13 dates$6,400- South AfricaJohannesburgNext Nov 2· 13 dates$6,800
- South AfricaCape TownNext Oct 26· 13 dates$7,600
UAEDubaiNext Oct 26· 13 dates$7,600
GhanaAccraNext Nov 16· 13 dates$9,000
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Frequently Asked Questions About Leadership and Performance in AI Governance, Responsible AI & ISO 42001 Training Course in Dar es Salaam
Everything you need to know about this course before you register.
Leadership and Performance in AI Governance, Responsible AI & ISO 42001 Training Course runs as classroom training in Dar es Salaam, Tanzania, in Monday-to-Friday cohorts that start every four weeks. The venue, daily timings and joining details are sent in your Joining Instructions email ahead of the start date.
The next Dar es Salaam cohort starts on October 26, 2026, and a new intake follows every four weeks. Pick a date under "Upcoming sessions in Dar es Salaam" above and click Register; your seat is confirmed once payment or a signed purchase order is received.
The classroom fee for Leadership and Performance in AI Governance, Responsible AI & ISO 42001 Training Course in Dar es Salaam is USD 4,000 per delegate, covering tuition and course materials. Register 3 or more delegates together and a 5% team discount is applied automatically.
Yes. Besides Dar es Salaam, Leadership and Performance in AI Governance, Responsible AI & ISO 42001 Training Course runs as classroom training in Arusha, Dodoma, and Zanzibar. It also runs as live online training you can join from anywhere in Tanzania, and in-house at your organisation's own premises.
Yes — Leadership and Performance in AI Governance, Responsible AI & ISO 42001 Training Course can be delivered at your offices in Dar es Salaam or at a venue you choose, on dates that suit your team, with case studies tailored to your sector. Message our training advisors to request a proposal.
By the end of the Leadership and Performance in AI Governance, Responsible AI & ISO 42001 programme, you'll be able to articulate the accountabilities of boards and executives for ai under iso/iec 38507 and iso/iec 42001, set an ai policy, objectives and risk appetite that align ai ambition with organisational strategy, design a governance operating model with clear committees, roles and decision rights, and build ai literacy, ethical judgement and a speak-up culture across management and staff. The full breakdown of topics is covered session by session in the Course Outline tab above.
The programme is for senior people who answer for how their organisation uses AI: Chief executives, managing directors and their deputies, Board directors and members of board risk, audit and technology committees, Chief risk, compliance, data, information and technology officers, Chief AI officers and heads of AI or digital transformation, Directors of strategy, operations and human resources, Principal secretaries, agency heads and senior civil servants overseeing digital services, Country directors and senior managers in NGOs and development organisations, and General counsel and company secretaries.
Leadership and Performance in AI Governance, Responsible AI & ISO 42001 Training Course typically runs as 10 Days. It's available as in-person classroom, live virtual, and in-house corporate training — every course can also be delivered on-site for your team on dates that suit you.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Leadership and Performance in AI Governance, Responsible AI & ISO 42001 Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Leadership and Performance in AI Governance, Responsible AI & ISO 42001 Training Course is pitched at advanced professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
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