Governance in the age of AI

Artificial intelligence (AI) is moving forward at a fierce speed. New models, applications, and business use cases are emerging almost every week. With billions of globally devoted to AI development, this technology is no longer niche or novel. It is becoming the center of business operations and competition.

The government is also rapidly embracing AI. Singapore's National AI Strategy 2.0 is a great example. It aims to use AI to transform the economy, increase productivity in various sectors, and create new areas of growth. This includes strengthening Singapore's AI ecosystem and developing a skilled AI workforce.

For the board of directors, AI is no longer an IT issue. This has become a governance priority, beyond performance and conformance aspects. From ethics to operational risks, the board now plays a key role in overseeing how AI is recruited and managed across the organization.

How does the board think about incorporating AI into the boardroom?

“Most Value Players” in the Executive Office

The AI ​​superpower lies in its ability to leverage vast amounts of data, including market trends, finance, customer behavior, and vast amounts of data from its competitors, to provide sharp and actionable insights. This allows the board to simulate scenarios, weigh strategic options, and identify risks and opportunities more comprehensively than before.

This is why AI is becoming the new MVP (the most valuable player) in conference rooms. This brings speed, depth and width to decision-making in a way that a few technologies have had before. This strongly complements traditional administrative papers and presentations.

Everyday tasks have also been converted. Meet transcripts, report summary, schedules, and process them with AI, save time and increase efficiency.

AI can flag compliance abnormalities and irregular transactions, and can also help the board find trouble early. Forecasting tools are beginning to shape decisions about resource allocation, growth strategies, and risk management.

Implementation challenges

AI promises come with warnings. The current state of AI technology can still be undermined when it comes to nuances, industry contexts, or domain-specific languages.

Sometimes AI “hastised” and gives confidently plausible, but completely inaccurate. This could change with better training and technology improvements. For now, however, the board must treat AI-generated insights as useful, not gospel.

Another challenge is keeping the teams ready for AI. If the interpreter of the information is not equipped to understand it, more data will not automatically lead to better decisions.

The board of directors should ensure that organizations invest not only in technology, but also in the people and processes they need to use it effectively. They need to guide the transformation of AI with clear technology strategies and appropriate long-term partners.

There is also the risk of machines outsource too many thoughts. Psychological arithmetic faded with calculators, and GPS deregulated our sense of orientation. Similarly, AI can erode critical thinking if it is relied too heavily. Complex and ethical decisions require human judgment, empathy, context, qualities that AI does not yet possess.

Operational risks should not be ignored either. Data breaches, unreliable vendors, and system failures are serious concerns. These developments raise difficult questions about surveillance, safeguards and management.

Regulators are also racing to keep pace. Singapore's Model AI Governance Framework and AI Verification Toolkit represent important efforts to promote responsible use.

Other jurisdictions are developing their own responses. The European Union's AI law is an example. However, a clear, unified set of global regulatory, legal and ethical guardrails remains a little separate and almost certainly lags behind technological advancements.

Governance gap

The rapid rise in AI revealed a major gap in governance. Many boards are still catching up without the framework and expertise needed to manage this evolving landscape. The results provide real exposure to legal, ethical and reputational risks.

Get confidentiality. Using AI tools during board discussions on strategies and legal matters can lead to inadvertent disclosure of sensitive information. Worse, records generated by some AIs may be found through legal procedures, even if they contain errors. In a sensitive context, this could result in loss of legal privilege or violation of regulatory compliance.

Bias is another long-standing issue. AI systems can inherit and amplify assumptions embedded in training data. The lack of transparency in AI decision-making – the so-called “black box” problem – makes it difficult to identify and correct these biases or errors.

Perhaps the most complicated question is accountability. Who is responsible for boards relying on flawed AI analysis and making costly decisions – who is the board, management, or technology provider?

The chain of accountability relies on the board as the organization's apex leader. This is precisely why the board needs to stay closely involved, ask the right questions and make sure it has strong guardrails in place.

I will not turn back

The age of AI is no longer near. It has already arrived. The board should learn to navigate this new environment with both openness and attention. We have evolved rapidly from the age of computerization to the age of digitalization, and now the age of “intelligence.”

While embracing innovation is essential, it must involve sound governance, ethical foresight, and human judgment.

AI has the potential to transform decision-making, increase operational effectiveness, and unlock strategic value. However, without thoughtful surveillance, new vulnerabilities can be easily created. In an age where systems are becoming more and more intelligent, the role of human wisdom has not diminished. This is more important than ever.

The writer is a member of the Governance Council of the Singapore Board of Directors.