Artificial Intelligence (AI)
Alternative labels
Generative AI (GenAI)
Submission
Submission to the NSW Legislative Council Public Accountability & Works Committee on Data Centres in NSW
This submission responds to the NSW Legislative Council Inquiry on Data Centres, focusing on planning frameworks, governance, transparency and accountability. It argues for a whole‑of‑life public accountability framework that treats data centres as major infrastructure, and sets out 9 recommendations to strengthen regulatory oversight, environmental protection and public‑interest outcomes in NSW.
Report
The climate disinformation war: how to fight back for Australia’s democracy and security
Australia faces a rapidly escalating breakdown in information integrity. Climate disinformation is evolving from a communications issue into a national security challenge. This report finds that government efforts are not commensurate with the sheer scale, resourcing and coordination of disinformation networks. It provides recommendations for systemic approaches, initial steps and as a task for government.
Report
Organizational transformation in the age of AI: how organizations maximize AI’s potential
This white paper examines how leading organisations are embedding artificial intelligence (AI) across customer experience, operations, R&D, strategic planning and talent. Drawing on insights from more than 450 executives worldwide, it highlights a shift from isolated use cases to connected systems, from episodic initiatives to continuous processes and from task automation to human value creation.
Report
Artificial intelligence and Australian charities
The report examines the adoption and governance of artificial intelligence (AI) by Australian charities, finding the benefits for the sector come with particular risks. Although AI adoption in charities is driven by structural necessity, algorithmic decision-making could introduce new risks of accountability gaps and discrimination. The report identifies six principles for AI governance in charities.
Guide
Guidance for AI proof of concept to scale
The purpose of this guidance is to enable Australian Government agencies to move beyond isolated artificial intelligence (AI) experiments and achieve meaningful business AI adoption, ensuring that AI delivers value and is embedded responsibly within government operations and services. It provides practical advice for successfully scaling AI proof of concepts.