Responsible Data & AI Use for Organisations
Learn how to align strategy, risk, and innovation to lead responsible, high-impact data and AI initiatives across your organisation.
Course overview
As data and AI transform how organisations operate, leaders must ensure these powerful tools are used responsibly and strategically. This course equips participants with practical frameworks to align data and AI initiatives with organisational strategy, risk management, and return on investment. Delivered as an interactive workshop, the course blends expert insights, and collaborative activities.
Participants will explore governance models, tools, and board engagement strategies, and learn how to design organisational policies and processes that foster innovation while ensuring accountability.
This course is ideal for executives, managers, analysts and data leaders seeking to strengthen oversight and unlock the full value of their data assets.
By the end of the course, participants will be empowered to lead data and AI initiatives with confidence—embedding responsibility, trust, and strategic alignment into every stage of implementation.
What you'll learn
- Develop a strategic understanding of data and AI governance to align initiatives with organisational goals.
- Apply practical frameworks to strengthen oversight and ensure responsible, accountable data use.
- Learn how to align data and AI efforts with organisational strategy, risk management, and ROI.
- Explore governance models, tools, and technologies that support ethical and effective data practices.
- Strengthen your ability to engage boards and senior stakeholders in data and AI oversight.
- Identify and address common challenges in implementing data and AI governance across teams.
- Evaluate existing organisational policies and processes and identify areas for improvement.
- Design or refine a data governance approach that positions data as a trusted, strategic asset.
Course modules
Strategic Alignment and Organisational Value
Examine the strategic role of data and AI oversight in achieving organisational goals, maintaining stakeholder trust, and delivering return on investment. Learn how to align initiatives with broader organisational strategy and foster innovation through responsible data practices.
Ethics, Risk, and Responsible AI
Explore key ethical considerations, including bias, transparency, and unintended consequences. Gain practical tools for risk mitigation and ensure AI use is safe, trusted, and aligned with legal and cultural expectations.
Governance Models and Operational Frameworks
Compare centralised and decentralised models of governance. Understand how to embed clear roles and responsibilities, foster a culture of transparency and accountability, and apply inclusive governance principles, including kaitiakitanga and stewardship.
Tools, Technologies, and Human Oversight
Identify and evaluate tools and technologies that support effective AI oversight. Learn how to integrate compliance and monitoring processes into business systems while maintaining human judgement at the core of decision-making.
Stakeholder Engagement and Policy Design
Learn strategies to engage boards, executives, and teams in data and AI oversight. Develop or refine organisational policies, communication practices, and evaluation mechanisms that drive alignment and demonstrate sustained value from AI investments.
Further Information
Format
This course is delivered as a full-day in-person workshop at our Wellington venue. It includes a mix of facilitator-led sessions, small-group exercises, and whole-group discussion. Group size is limited to 16 participants to ensure meaningful interaction and personal feedback. Morning tea, lunch, and afternoon tea are provided to support networking and collaboration.
What You'll Receive
You will receive a digital certificate of attendance and a Wellington Uni-Professional digital badge. These include the Continuing Professional Development (CPD) hours completed, making them suitable for recognition by professional organisations and employers.
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