This page highlights national guidelines and resources.
AI Trends for Healthcare
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A key difference between the use of AI in healthcare and the use of AI in other industries is where AI provides decision making for diagnosis, prevention, prediction, prognosis, monitoring or treatment. In these cases, the AI is considered a medical device and is currently regulated as such – ‘software as a medical device (SaMD)’. This feeds into a bigger discussion of the use of AI across healthcare, for clinical and non-clinical purposes, and ensuring Australia is ready for its use. The healthcare consequences of the rise of generative models are rapidly unfolding and the national discussion about how to regulate AI is gaining pace.
Gen AI Concepts
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Generative AI products and services, such as OpenAI’s ChatGPT, Alphabet’s Gemini, and Microsoft’s Copilot, have sparked substantial interest in the private and public sectors. Organisations are already experimenting with integrated AI services provided by big tech firms, as well as custom procurements from smaller software companies. In the absence of comprehensive AI regulation in Australia, deploying these systems in a responsible, ethical and legally compliant way demands a deep understanding of how they function and the legal and ethical challenges they raise. But generative AI (GenAI) is not simple. AI software systems are diverse and rely on complex supply chains and data flows. Coming to grips with the technical, operational and regulatory vocabularies that have emerged around GenAI is a considerable challenge. To help entities interested in GenAI deployments, this publication outlines 42 concepts fundamental to AI software systems. Each concept is illustrated through descriptions, examples and real-world use cases, with accessible language and visual elements to accommodate a diverse range of stakeholders and readerships.
Policy for the Responsible Use of AI in Government (September 2024)
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The increasing adoption of artificial intelligence (AI) is reshaping the economy, society and government. While the technology is moving fast, the lasting impacts of AI on the activities of government are likely to be transformational. This policy provides a framework to position the Australian Government as an exemplar under its broader safe and responsible AI agenda. This policy is a first step in the journey to position government as an exemplar in its safe and responsible use of AI, in line with the Australian community’s expectations. It sits alongside whole-of-economy measures such as mandatory guardrails and voluntary industry safety measures.
For government, the benefits of adopting AI include more efficient and accurate agency operations, better data analysis and evidence-based decisions, and improved service delivery for people and business. Many areas of the Australian Public Service (APS) already use AI to improve their work and engagement with the public.
To unlock innovative use of AI, Australia needs a modern and effective regulatory system. Internationally, governments are introducing new regulations to address AI’s distinct risks, focused on preventative, risk-based guardrails that apply across the supply chain and throughout the AI lifecycle. The Australian Government’s consultations on safe and responsible AI show our current regulatory system is not fit for purpose to respond to the distinct risks that AI poses.
The consultation also found that the public expects government to be an exemplar of safe and responsible adoption and use of AI technologies. Public trust in AI and government’s use of it is low, which acts as a handbrake on adoption. The preparedness and maturity for managing AI varies across the APS. AI technologies change at speed and scale, presenting further risks if not acted upon quickly to mitigate them. This means government has an elevated level of responsibility for its use of AI and should be held to a higher standard of ethical behaviour.
The policy aims to create a coordinated approach to government’s use of AI and has been designed to complement and strengthen – not duplicate – existing frameworks in use by the APS. In recognition of the speed and scale of change in this area, the policy is designed to evolve over time as the technology changes, leading practices develop, and the broader regulatory environment matures.
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