Description
Feeling the pressure to implement AI responsibly but unsure how to move from principles to practice? As AI initiatives accelerate, organizations need leaders and teams who can navigate complexity, reduce risk, and build trust from the outset.
This course is designed for managers, executives, policy professionals, and technical teams who want to strengthen their organization’s ability to deliver AI responsibly and sustainably.
Through interactive exercises, case studies, and guided discussions, you will diagnose the barriers that often slow or derail the implementation of responsible AI initiatives. You will apply two practical frameworks—3H (Heroes, Huddles, Habitats) and ETHIC (Engagement, Transparency, Human-Centredness, Inclusivity, Continuous Oversight)—to design the leadership, collaboration, governance, and cultural conditions and practices that enable responsible AI.
You will also explore how agile and change management practices can support safe adoption, how governance can be operationalized using publicly available tools and standards, and how inclusive, transparent and ethical practices can be embedded throughout the AI lifecycle.
By the end of the course, you will leave with practical tools, structured approaches, and a clear roadmap you can use immediately—whether launching a pilot, scaling an AI solution, or strengthening oversight and accountability.
If you’re ready to lead AI initiatives with greater clarity, credibility, and confidence, this course will equip you with the frameworks and strategies to do so.
Learning Outcomes
At the end of this course, participants will be able to:
- Explain why responsible AI is a leadership and governance issue, not just a technical one
- Recognize how bias emerges and scales in AI systems
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Apply the 3H Model to assess organizational readiness for responsible AI
- Use the ETHIC Framework to embed ethics across the AI lifecycle
- Translate AI principles into practical, responsible decisions
Duration
6 hours
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