Vol. 2026 (2026)
Published:
14-01-2026
Articles
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Risk Regulation of Generative Artificial Intelligence in the Australian Government: the Case of Microsoft Copilot
In many countries, risk regulation is central to AI regulation. We examine generative AI (genAI) risk regulation in Australia through a case study of the trial deployment of Microsoft Copilot in government agencies. Risk mitigation depended on end-users’ responsibility for human review and fact-checking, readiness testing, and contractual assurance from vendors, but largely ignored the impact on team dynamics and long-term implication on human abilities. Three areas of improvement were identified: strengthening fact-checking and review by users lacking in time, knowledge and experience; addressing the impact on team dynamics and human abilities; and measures for impending uses of genAI systems as internal and public-facing government chatbots which are anchored on government-mandated collaboration among developers, deployers and users.
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Systemic risk management as an emerging regulatory approach in EU digital legislation: salient features and outstanding challenges
This paper describes and systematises systemic risk management obligations as a distinctive regulatory approach in EU digital legislation, particularly under the Digital Services Act (DSA) and the Artificial Intelligence Act (AIA). It analyses the notion of systemic risk and aims to distil the main distinctive features that characterise the related obligations under both the DSA and the AIA. Based on this analysis, this contribution outlines the uncertainties surrounding the implementation of systemic risk management obligations, as well as potential issues arising from the blending of public and private governance in novel ways. The ultimate objective is to chart the path for future research that looks at the open questions and challenges of these new and consequential regimes.
