menu
menu
It’s not every day you get to moderate a discussion that feels as timely and essential as our recent panel at Diligent Connections, Sydney, on “Navigating AI Governance: Balancing Innovation, Risk, and Compliance”. Artificial intelligence (AI) has firmly entered the mainstream, yet the pace of change leaves many of us wondering how to keep up while staying compliant and responsible.
Having worked in AI governance, I’ve seen firsthand how complex this space can be. Here are some of my key takeaways from our panel; insights I hope will help others begin or strengthen their own AI governance journey.
Throughout the panel, two recurring themes stood out: explainability and AI literacy.
Explainability is exactly what it sounds like. It’s the ability to clearly explain how an AI system works, including what data it uses, how it makes decisions and where human oversight fits in. It’s critical for building trust, ensuring accountability and meeting privacy and security requirements.
But explainability alone isn’t enough. You need to make sure people across your organisation fully understand the tools they’re using.
This is where AI literacy comes in. Whether you’re a board member, legal advisor or employee, you need to understand its different facets to use it responsibly. This includes determining whether a tool is designed for enterprise use or is more consumer-oriented, as well as its associated risks, benefits and limitations.
The takeaway here? Education is the foundation for transparency and compliance. People need to know when, where and how to utilise AI tools and be aware of their limitations. Without this shared understanding, even the best governance frameworks can fall short.
One of the most valuable parts of the panel was the practical advice on how organisations can get started with AI governance. Here are the five actionable steps that emerged:
Start by mapping where AI is already in use across your organisation, including any “shadow AI” tools that may have flown under the radar. “Shadow AI” refers to the use of AI tools or systems within an organisation without official approval, oversight or awareness from leadership or IT teams. Employees may use AI apps or platforms for convenience or productivity, but without proper governance, this can introduce significant risks around security, privacy and compliance.
Also, keep a close eye on how you purchase AI tools, conducting proper due diligence and oversight on your vendors. At the same time, assess your teams’ AI literacy levels and the risk appetite of your business.
If you’re developing AI products, consult your customers early. Understand their concerns, expectations and willingness to embrace AI-driven features.
Share findings from your audit and customer conversations with your board to get buy-in on your AI strategy and the ethical principles you’ll uphold.
Resources such as the OECD’s framework for classifying AI systems, ISO/IEC 42001 and the Australian Government’s AI Ethics Principles provide excellent starting points for developing a governance framework.
No two organisations are alike, and that’s especially true when it comes to AI governance. Every organisation faces different risks, operates with unique goals and adopts AI at its own pace. A one-size-fits-all approach simply won’t work in this space. Tailor your governance framework to your specific context, use cases and risk appetite.
Striking the right balance between innovation and compliance is easier said than done. The key here is to develop a robust yet adaptable framework that can evolve in tandem with technological and legal changes. Here are some of the more practical strategies our panel shared, which any organisation can adopt:
Remember: Innovation shouldn’t come at the expense of fairness, accountability or security. While your framework needs to be flexible, you shouldn’t bend to the point of compromising on these core values or failing to meet your adopted ethical principles.
It’s not enough to simply set up an AI governance framework – you also need to measure whether it’s working.
During the panel, we explored some practical metrics that can help organisations track their progress and align their AI use with both business goals and ethical principles. Here are a few to consider:
Looking ahead, I believe businesses must stay firmly focused on a human-rights centred approach to the ethics of AI. As AI technologies continue to advance rapidly, ethical principles such as fairness, transparency, safety, and accountability will always remain relevant and provide a guiding light.
By grounding our approach in strong ethical principles, we can better navigate uncertainty and change. We must prepare for emerging challenges, such as decision-making that does not require human involvement. It may sound overly futuristic now, but we’re already asking questions about accountability in highly autonomous systems. In time, this may require entirely new legal frameworks.
If there’s one thing I’d like readers to take away from this discussion, it’s this: Put ethics at the heart of your AI governance. Technology will continue to evolve. By prioritising fairness, privacy, accountability, transparency and the elimination of bias, we can develop AI systems that not only comply with laws but also serve our communities responsibly. That’s the kind of future we can all be working toward.
Elevate your board’s AI literacy and ethical oversight. Discover how Diligent empowers directors and executives to govern emerging technologies with confidence, transparency, and accountability.
Book a demo today to see how your leadership team can set the standard for responsible AI governance.
AI insights from the Diligent Institute
Artificial intelligence (AI) is transforming how companies operate, presenting both tremendous opportunities and new challenges for boards and leadership teams. As rapid advancement requires proactive oversight, Diligent Institute’s latest research provides a snapshot of how organizations and their boards are responding—and what actions they should consider next.
