The author of this working paper argues that there is no substitute for sound, evidence-based policy development to support a human-centric approach to social policy and government to service delivery. To enhance the benefits from AI while minimising the adverse risks, social security administration needs to understand better the scope and depth of the risks...

This report focuses on how leaders in Australia are adapting their approach to delivering services effectively and efficiently, in a fashion that leverages digital technology and builds public trust. The report draws on the findings of an expert roundtable with senior leaders from a variety of agencies, as well as non-profit, academia and technology organisations.

Machine learning (ML) can have a significant impact on public policy by modelling complex relationships and augmenting human decision-making. In this report, the authors give an overview of ML and discuss the importance of its interpretability.

This paper recommends that Forum for Cooperation on Artificial Intelligence (FCAI) governments, stakeholders and other likeminded entities prioritise cooperative research and development efforts on deployment of artificial intelligence as a tool for climate change monitoring and management and accelerating development and adoption of privacy enhancing technologies.

Remote biometric technologies – in particular, facial recognition – have gained a lot of traction in the security sector in recent years. This report presents a set of proposed principles for the use of facial recognition in law enforcement investigations, along with a self-assessment questionnaire intended to support law enforcement agencies to design policies surrounding...