Open-street CCTV in Australia: the politics of resistance and expansion

This paper summarizes the first systematic attempt to document and assess the extent of open-street CCTV systems in Australia. In addition to providing empirical data, this paper argues that it is tempting for Australian scholars, and those elsewhere, to view the UK ‘surveillance revolution’ as the harbinger of inevitable global trends sweeping across jurisdictions. However analysis of the Australian data suggests that the deployment of CCTV in other national contexts may follow substantially divergent patterns. While the Australian CCTV experience follows many trends exhibited in other nations, it is nevertheless significant that the diffusion of CCTV in Australia has been more restrained than in the UK. We suggest that the divergence between the UK and Australian experiences resides in contrasting political structures and the consequent variation in the strength of debate and resistance at the local level

Biased Embeddings from Wild Data: Measuring, Understanding and Removing

Many modern Artificial Intelligence (AI) systems make use of data embeddings, particularly in the domain of Natural Language Processing (NLP). These embeddings are learnt from data that has been gathered "from the wild" and have been found to contain unwanted biases. In this paper we make three contributions towards measuring, understanding and removing this problem. We present a rigorous way to measure some of these biases, based on the use of word lists created for social psychology applications; we observe how gender bias in occupations reflects actual gender bias in the same occupations in the real world; and finally we demonstrate how a simple projection can significantly reduce the effects of embedding bias. All this is part of an ongoing effort to understand how trust can be built into AI systems.Comment: Author's original versio

It's all about risk, isn't it? Science, politics, public opinion and regulatory reform

Like most Western democracies, Australia has seen constant business complaints about the regulatory burden and the need for reform. Governments have been sympathetic to these concerns and initiated numerous enquiries into ways to reduce red tape. One, published by the Regulation Taskforce in 2006, argues that a key problem is that Australians are becoming 'risk averse'. Drawing on research into the regulatory aftermath of major disasters, this paper argues that the Taskforce's approach is over-simplistic. Risk has at least three dimensions: actuarial, social and political. Proliferation of rules and regulations in the aftermath of a major disaster can be as much, if not more, the product of political risk aversion as it is of social and actuarial assessments. 'Smart' regulation, which aims to reduce risk while avoiding an excess of rules, must address all three dimensions. The paper explores when and how there can be a 'smart' response to major disaster