Before You Scale AI: Governance, Risk and Responsible Use for Business
Explore the realities of AI adoption in today's workplace, including shadow AI, organisational risk appetite, data security considerations and the foundations of good AI governance.
Description
EMA's Workforce 2030 research shows AI adoption is already well underway across New Zealand workplaces, with 83% of surveyed businesses using AI. However, governance is struggling to keep pace. Just 12.6% have an AI policy in place, while one in four organisations report that AI adoption is occurring without formal organisational leadership.
The question is no longer whether your business will use AI, but whether you have the right guardrails in place to use it safely, responsibly and effectively.
In this Workforce 2030 webinar, Eric Font, Practice Director (Data Governance & Strategy) at Data Insight will explore the realities of AI adoption in today's workplace, including shadow AI, organisational risk appetite, data security considerations and the foundations of good AI governance.
This session is ideal for: CEOs, people leaders, HR professionals and business owners leading workplace AI implementation.
You'll leave with: Practical guidance, frameworks and actions to help your people confidently navigate the opportunities and risks of AI – before any risky use becomes business as usual.
Through practical examples and real-world scenarios, you’ll learn:
- Why AI governance is becoming a business and leadership issue, not just a technology issue
- How to assess your organisation's AI risk appetite and readiness
- The realities of shadow AI and what it means for your business
- What good AI governance and policy foundations look like
- Practical approaches to balancing innovation, security and accountability
- The key questions leaders should be asking before AI use scales across their organisation
Join us for an interactive discussion featuring live polling, practical takeaways and a live Q&A session with Eric, led by EMA Head of Legal and General Counsel, Matthew Dearing.
Price: $39 Members, $139 Non-members
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