Queensland to Introduce Mandatory AI and Automated Decision Risk Reviews

In Queensland, the public sector is preparing to implement a comprehensive framework aimed at evaluating and managing risks associated with artificial intelligence (AI) and automated decision-making (ADM) in government projects. This initiative, led by the Queensland Government Chief Customer and Digital Officer (QGCDG), underscores a proactive approach to harnessing AI technologies while ensuring robust governance and risk management protocols.

The forthcoming AI governance policy and AI risk assessment framework are poised to become mandatory across Queensland government agencies. These frameworks are designed to address specific risks inherent in AI and ADM applications within large-scale projects. Chris McLaren, from QGCDG, emphasized that the new policies will integrate with existing mandatory regimes, such as the ICT Investment review and portfolio assurance frameworks, ensuring that AI-related risks are managed comprehensively throughout the project lifecycle.

The initiative aligns with broader national efforts, following the agreement among federal, state, and territory ministers on a national framework for AI assurance scoring and controls. While some jurisdictions like New South Wales (NSW) and Western Australia (WA) have already implemented similar frameworks, Queensland's approach will cover both AI and ADM, ensuring consistency and thorough risk assessment across various technological deployments.

McLaren highlighted that the AI risk assessment framework will introduce specific checks and balances tailored to AI technologies, augmenting the current assurance processes. This includes consultations with specialist teams equipped with technical and ethical expertise in AI, ensuring that risks are identified, evaluated, and mitigated effectively. Moreover, any new risks identified through the AI risk assessment will be managed under existing risk and assurance protocols, further emphasizing the integration of AI governance into established governance structures.

The Queensland government has already embarked on several AI projects, showcasing its commitment to leveraging technology for public sector innovation. Projects like the Department of Agriculture and Fisheries' use of drones for weed detection and the deployment of QChat, an AI-driven chatbot facilitating customer engagement and regulatory compliance, exemplify Queensland's early adoption and application of AI across various domains.

The assurance profiling tool currently used by government bodies will be supplemented by the new AI policy, clarifying the assurance levels required for different AI and ADM projects. This structured approach ensures that projects are subjected to appropriate levels of scrutiny based on their financial and risk profiles, promoting accountability and transparency in the deployment of AI technologies. Looking ahead, Queensland's initiative to implement robust governance frameworks and risk assessment protocols for AI deployment in the public sector sets a significant precedent for other jurisdictions worldwide facing similar challenges. This proactive approach not only aims to harness the benefits of AI technology to enhance government services but also prioritizes responsible deployment and risk management.

By embedding these frameworks, Queensland seeks to navigate the complexities inherent in AI adoption effectively. The comprehensive AI governance policy and risk assessment framework are designed not only to identify and mitigate risks associated with AI and automated decision-making (ADM) but also to ensure transparency, accountability, and ethical considerations throughout the lifecycle of AI projects.

One of the key strengths of Queensland's approach lies in its integration with existing governance structures and assurance processes. By aligning AI risk assessments with established frameworks such as the ICT Investment review and portfolio assurance, the initiative ensures that AI projects undergo rigorous scrutiny commensurate with their financial and risk profiles. This ensures that potential risks are identified early and managed appropriately, minimizing disruptions and maximizing the benefits derived from AI technologies.

Moreover, Queensland's initiative underscores a commitment to innovation and efficiency within the public sector. Projects like the Department of Agriculture and Fisheries' drone-based weed detection and the deployment of QChat highlight tangible examples of how AI can enhance operational capabilities, improve service delivery, and drive productivity gains. These initiatives not only demonstrate Queensland's leadership in adopting cutting-edge technologies but also showcase the practical applications of AI across diverse domains.

As Queensland continues to refine its AI governance frameworks and adapt to emerging technological trends, the state is well-positioned to serve as a model for responsible AI deployment nationally and internationally. By sharing insights, best practices, and lessons learned, Queensland can support other jurisdictions in overcoming regulatory, ethical, and technical challenges associated with AI implementation.

In essence, Queensland's proactive stance on AI governance not only aims to maximize the transformative potential of AI in public services but also sets a benchmark for ethical standards, risk management, and operational excellence in government sectors globally. By fostering a culture of innovation and accountability, Queensland paves the way for sustainable AI adoption that benefits citizens, enhances governance, and strengthens public trust in technological advancements.