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  • 6 March 2024

    What role can stories play in supporting people-centred policymaking and place-based reform?

    Thea Snow

  • 27 February 2024

    While the political and policy focus has rightly been on regulating artificial intelligence, we also need to plan now to harness AI’s power as a policymaking tool – especially, its capacity to model outcomes in complex systems.

    José-Miguel Bello y Villarino

  • 7 February 2024

    Simple quantitative metrics don’t do justice to the breadth and complexity of human experience. Researchers and policymakers can benefit from frameworks implementing a nested relationship between data and lived experiences, metrics and relational processes.

    Juliet Bennett

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  • 8 November 2023

    What are the challenges to academic influence in public policy? And what practical steps are available to bridge the gap between researchers and policymakers?

    Susan Harris Rimmer, Ed Morgan and Sofija Tanveska

  • 8 November 2023

    What are the challenges to academic influence in public policy? And what practical steps are available to bridge the gap between researchers and policymakers?

    Susan Harris Rimmer, Ed Morgan and Sofija Tanveska

  • 8 November 2023

    What are the challenges to academic influence in public policy? And what practical steps are available to bridge the gap between researchers and policymakers?

    Susan Harris Rimmer, Ed Morgan and Sofija Tanveska

  • 31 October 2023

    While governments often prioritise rebuilding roads and other physical infrastructure post-disaster, just as great a focus is needed on supporting communities to build resilient social infrastructure.

    Timothy Heffernan

  • 24 October 2023

    What is the potential for AI to automate repetitive, low complexity tasks in knowledge sectors? And what can government do to manage this transition?

    Ian Opperman (with ChatGPT)

  • 18 October 2023

    Grasping the opportunities and managing the risks of generative AI is a generational challenge. The eSafety Commissioner explains how Australia is starting to tackle this issue.

    Julie Inman Grant

Regulating artificial intelligence against gender bias: can Australia emerge as a world leader?

25 August 2023|

Australia has joined the race to regulate AI – but we aren’t paying enough attention to the gender-related challenges generated by these systems. Here’s how we can start to fix that.

How research can enhance policymaking: improving the interface between academia and government

16 August 2023|

Breaking down the barriers to collaboration between researchers and policy practitioners takes relationships of trust, innovative knowledge-brokering institutions and better mutual understanding.

The AI genie is out of the bottle – here’s how to regulate it

15 August 2023|

Generative AI is here to stay. But with a nuanced understanding of the technology, sophisticated regulation and a long-term view, we can minimise its harms and capitalise on its transformative potential.

Measuring what matters: embracing Mental Wealth as an overarching indicator of national prosperity

2 August 2023|

As Australia embraces a broader definition of national progress, we should use metrics that prioritise the wellbeing of the economy and society together.

Australia should enhance the ESG capabilities of small businesses – here’s how

7 July 2023|

Australia can be a leader in sustainable business and contribute to a greener and more socially responsible future by developing strategic supports, incentives, stricter regulations and collaboration platforms for small and medium enterprises.

A black sky and some green shoots: how to shape AI for the common good

4 July 2023|

A passive approach to emerging artificial intelligence technologies could generate significant social problems – but “mission economy” and “just transition” approaches to AI can unlock a better, more inclusive future.

The biggest risks of AI don’t come from it getting smarter than us – they come from us

20 June 2023|

Policymakers should prioritise the risks of inequality, a loss of creativity and self-interested manipulation when thinking about AI.

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