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Showing posts from January, 2026

Is Regulation Killing Innovation? Jordan Koningham Explores the Tech-Policy Tug-of-War

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  The prevailing narrative in boardrooms from Silicon Valley to Sydney is that regulation is the enemy of innovation. We often hear that for every new line of code written in a blockchain protocol or every breakthrough in a generative AI model, a regulator is waiting in the wings with a heavy-weight "red tape" anchor. But as someone who has navigated the rigorous intellectual demands of the Chief Justice’s chambers and the intricate frameworks of international law, I view this tension differently. The question isn't whether regulation is killing innovation, but rather: Is poor regulatory design making innovation unsustainable? As Jordan Koningham , I believe we are entering an era where the "Tech-Policy Tug-of-War" can be resolved not by one side winning, but by both sides adopting a new architecture for governance. The Myth of the Regulatory Anchor In my research for the Australian International Law Journal , a recurring theme emerged: legal uncertainty is a gr...

Jordan Koningham and the Algorithmic Regulator: Can Legal Minds Help Teach Machines Accountability?

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  Artificial intelligence is no longer just a tech tool. In many industries, it is becoming part of decision-making. Banks use algorithms to detect fraud. Financial platforms use automated systems to assess risk. Regulators are also exploring technology to monitor markets more efficiently. But this raises a serious question: who teaches these systems about fairness, responsibility, and accountability? Machines can follow patterns, but they do not understand ethics or legal principles on their own. This is where legal professionals play an important role. The career focus of Jordan Koningham , with experience in compliance, governance, policy, and financial regulation, highlights how legal thinking is becoming essential in shaping AI-driven regulatory systems. What Is an “Algorithmic Regulator”? An algorithmic regulator is not a robot judge. It refers to the use of automated tools and data systems to support compliance, supervision, and risk monitoring. These systems can: S...