The board’s role has expanded: From AI awareness to AI accountability

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Published: 
Authors: Leon Fouche

The new board agenda: Governing AI for innovation, trust, and performance

The board’s job isn’t to put the brakes on artificial intelligence (AI). It’s to make the organisation confident enough to accelerate on their journey. Winning with AI requires visibility, accountability, trust, and evidence. Without them, AI risk scales faster than its value does.

AI is becoming part of how organisations make decisions, interact with customers, manage operations and pursue growth. For Australian organisations, the question is how can they use AI in a way that balances innovation, risk and accountability?

AI can improve productivity, support faster decisions and create new ways of working. However, it can also expose sensitive data, produce unreliable outcomes, increase dependence on external providers and affect customers or employees in unintended ways.

Good governance enables responsible AI adoption, with stronger oversight for higher-risk applications.

Know where AI is being used

Cyber Security Awareness Month reminds us that awareness is only the starting point.

Most boards are already discussing AI. The next step is understanding how it’s being used across employee tools, supplier platforms, business applications and customer services.

The challenge is often in the visibility of these tools. Organisations may have approved AI initiatives underway, while employees and business areas may, at the same time, be using publicly available or supplier-provided tools outside the organisation’s established governance processes.

Questions boards and executives should ask, include:

  • Where is AI currently being used?
  • What information is being shared with AI systems?
  • Which decisions are made or influenced by AI?
  • Who is accountable for the outcomes?
  • How are risk, performance and value monitored?
  • What happens if an AI system fails or behaves unexpectedly?

The objective is to apply proportionate governance, with stronger oversight where AI has the greatest potential impact.

Make accountability clear

AI may be introduced through technology or innovation teams, but accountability cannot sit with them alone. Business leaders should own AI-supported decisions and outcomes, supported by specialist functions.

Boards need sufficient visibility to confirm that:

  • AI investment supports organisational strategy
  • Material AI uses have identified business owners
  • Risks are considered before adoption or expansion
  • Appropriate human oversight remains in place
  • Performance and control effectiveness can be demonstrated
  • Issues can be identified, escalated and addressed quickly.

Clear accountability ensures that decisions influenced by AI remain owned by the business, not the technology.

Build resilience early

As AI becomes embedded in operations, organisations must prepare for service disruption, data exposure, unexpected behaviour and third-party failures.

Management should understand:

  • Which critical services rely on AI or AI-enabled providers
  • What data is shared with external platforms
  • Whether important decisions can be reviewed or overridden
  • How operations would continue if an AI service became unavailable
  • How affected stakeholders would be informed if something went wrong.

Preparedness does not mean expecting AI to operate perfectly. It means being ready to identify problems early, limit their impact and maintain critical operations when something goes wrong.

Five priorities for boards

AI investment should address genuine business needs and support strategic priorities. Boards should distinguish between initiatives that create measurable value and experimentation that adds complexity without clear benefits.

Every material AI initiative should have an identified business owner who understands its purpose, data requirements, decisions and potential consequences.

AI should align with the organisation’s regulatory obligations, values and commitments to stakeholders. Higher-impact applications require greater attention to privacy, security, fairness, transparency and human oversight.

Boards need evidence that AI systems are performing as intended, delivering expected benefits and operating within the organisation’s risk appetite.

Organisations should prepare for AI failure, misuse or unexpected outcomes through clear escalation arrangements, practical alternatives and tested response plans.

Questions every board should ask

Priority

Board question

Direction

Where can AI create genuine value, and where are we adding complexity without a clear benefit?

Accountability

Who owns the outcome when AI informs or accelerates an important decision?

Responsible use

Could we explain and defend our use of AI to customers, employees and regulators?

Evidence

How do we know AI is performing as intended, managing risk and delivering value?

Preparedness

If an AI system fails or behaves unexpectedly, can we respond quickly and continue operating?

Turning oversight into action

Organisations do not need a complex program before improving oversight. Management can begin with five practical actions:

  • Map AI activity: Identify AI across approved initiatives, employee tools and supplier platforms
  • Focus investment: Prioritise initiatives aligned with strategy and business needs
  • Assign ownership: Define clear business, technology, data and risk responsibilities
  • Apply proportionate governance: Simplify oversight for lower risk uses and strengthen it where potential impacts are greater
  • Prepare for disruption: Test responses to poor outputs, compromised systems, data exposure and supplier outages.

Demonstrate value and control

Boards need more than assurance that AI is being managed responsibly. They need clear evidence that significant AI initiatives are delivering the intended value, performing as expected and operating within the organisation’s risk appetite. This enables boards to identify increasing exposure, assess whether controls remain effective and determine where management action is required.

From awareness to accountability

Cyber Security Awareness Month reminds us that emerging risks cannot be managed through awareness alone.

The organisations making the greatest progress are translating AI discussions into clear ownership, proportionate governance and practical preparation.

AI will continue to evolve and expand across employees, suppliers, products and operations. Governance needs to keep pace without becoming an unnecessary barrier to innovation.

The organisations that benefit most will not necessarily be those that adopt AI first. They will be those who understand where it creates value, remain accountable for the outcomes and are prepared to act when something does not go as planned.

Awareness is the starting point. Accountability is what enables organisations to use AI responsibly, manage risk and move forward with confidence.

Key Takeaways

From AI awareness to AI accountability

  • Boards need to move beyond simply discussing AI and ensure there is clear ownership, oversight and accountability for how AI influences decisions, operations and customer outcomes.

Governance should enable innovation, not slow it

  • Effective AI governance provides visibility, trust and evidence, allowing organisations to adopt AI confidently while balancing innovation, risk and regulatory obligations.

Resilience and preparedness are essential

  • Organisations must be ready for AI failures, data exposure, supplier disruptions or unexpected outcomes by establishing clear accountability, response plans and oversight mechanisms before issues occur.

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