Artificial Intelligence continues to drive discussions across the enterprise. From the Board down to the workforce. C-suites are being asked to drive not just the discussion but strategies on how to best tap the technology before the competition does. Gartner warns that AI poses unique challenges for governance that must be directly addressed to mitigate risks and take advantage of opportunities. How are organizations developing AI governance frameworks, and what benefits and challenges have they experienced around AI governance?To give us greater clarity on how organisations can safely tap AI now and into the future, we are joined by Ms Heather Gentile, Executive Director of Product watsonx.governance, IBM DATA AND AI.1. What is AI governance?2. What has given rise to AI governance?3. What is involved/included in AI governance?Who should be involved in drafting/managing an organisation's AI governance strategy?4. Are all AI governance approaches equal? (i.e., can enterprise use the same template to build their AI governance?5. What are the critical components of an enterprise-grade AI governance?6. Can you cite notable learnings for C-suite leaders and the Board in the pursuit of an AI governance strategy?7. Where does AI ethics fit into an organisation’s AI governance strategy?8. Can you elaborate on the urgency to build an AI governance framework?9. What does IBM bring to the table when it comes to AI governance?10. How would an organisation approach vendors, like IBM, to better plan and manage their AI governance strategy?11. What is your advice for C-suite leaders when it comes to AI governance into 2024?

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