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Environment

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Natural environment
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Environment
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Position paper

Pathways to Australian decarbonisation


This paper presents a series of positions focused on enabling emissions reductions across all major sectors of the economy. Together, these positions are intended to support the Australian Government’s 2035 emissions reduction targets and place Australia on a credible, resilient pathway to achieving net zero emissions by 2050.
Briefing paper

Climate change and culture: reimagining an inclusive, sustainable and creative future


Climate change is driving systems toward tipping points that require urgent action, and the cost of inaction far outweighs the cost of action. Yet the case cannot be made in the language of economics alone. That is what arts and culture can do. This paper sets out placing culture at the centre of a new...
Guide

Greening AI in the public sector: an introductory handbook for procurement


As public agencies consider adopting new artificial intelligence (AI) products, it’s clear that residents and public sector staff have concerns about the environmental impacts of AI infrastructures. This handbook demonstrates that there are practical steps agencies can take to incorporate environmental performance criteria into public AI procurement, optimising sustainability while preserving quality of service.
Report

Operationalising Aboriginal land and sea management


This report describes research undertaken to understand the conditions necessary to support scalable, Aboriginal community-led caring for Country. The research explored the alignment of Aboriginal knowledge and management systems with existing policy and land management structures and identified ways to enable caring for Country practices at a landscape-scale across NSW.
Report

Environmental cost of artificial intelligence: carbon, water and land footprints

Aria Farsi, Tshilidzi Marwala, Kaveh Madani

This report examines the environmental footprints of the energy required to power artificial intelligence's (AI’s) rapid expansion. It frames AI’s environmental footprint as a governance and justice challenge, not only a technical problem. The benefits of AI often flow across borders and sectors, while the environmental burdens can be concentrated in specific communities and regions.