Traditional governance models are straining to keep up with the explosive pace of AI advancements, as rigid structures and slow decision-making processes struggle to adapt to an era where technological innovation is measured in months, not years—leaving gaps in oversight, ethics, and regulation.

The quandary we face is how to keep up with the pace of technological change while applying the right level of governance. Traditional governance models simply will not work and are becoming less relevant by the hour. AI will not wait, nor can humans afford to.

We need to recognise that as much as humans are driving the pace of technological advancement, the less this will be the case the further AI develops.

We can no longer rely on slow governance models that cater for technological ignorance; the technology will simply steamroll over the top of them. Need an example? Watch any US Senate hearing investigating technology risks - the lack of effective governance is dangerous.

A key focus when establishing the Ballarat Region Artificial Intelligence Network (BRAIN) has been defining a dynamic governance model.

BRAIN is committed to transforming the narrative around regional development through the ethical adoption of new technologies and, as an organisation that performs extensive AI research and development, we faced the real risk that innovation would take a back seat to ineffective governance. We exist to lower the barriers to AI adoption while protecting people who can realise the benefits technology change can bring. We cannot do that if the majority of our work was to focus on maintaining status-quo governance models.

Keep in touch as I share more about how we are keeping up with the pace of change while leveraging dynamic governance frameworks. My 📩DMs are always open for questions and engaging conversations!