Near knowledge : inductive learning systems in law

Induction is an interesting model of legal reasoning, since it provides a method of capturing initial states of legal principles and rules, and adjusting these principles and rules over time as the law changes. In this article I explain how Artificial Intelligence-based inductive learning algorithms work, and show how they have been used in law to model legal domains. I identify some problems with implementations undertaken in law to date, and create a taxonomy of appropriate cases to use in legal inductive inferencing systems. I suggest that inductive learning algorithms have potential in modeling law, but that the artificial intelligence implementations to date are problematic. I argue that induction should be further investigated, since it has the potential to be an extremely useful mechanism for understanding legal domains.

What aspects of demographic, personality, attitudes, and perceptions of law enforcement influence self-reported likelihood of drink driving?

The aim of the current study was to examine the associations between a number of individual factors (demographic factors (age and gender), personality factors, risk-taking propensity, attitudes towards drink driving, and perceived legitimacy of drink driving enforcement) and how they influence the self-reported likelihood of drink driving. The second aim of this study was to examine the potential of attitudes mediating the relationship between risk-taking and self-reported likelihood of drink driving. In total, 293 Queensland drivers volunteered to participate in an online survey that assessed their self-reported likelihood to drink drive in the next month, demographics, traffic-related demographics, personality factors, risk-taking propensity, attitudes towards drink driving, and perceived legitimacy of drink driving enforcement. An ordered logistic regression analysis was utilised to evaluate the first aim of the study; at the first step the demographic variables were entered; at step two the personality and risk-taking were entered; at the third step, the attitudes and perceptions of legitimacy variables were entered. Being a younger driver and having a high risk-taking propensity were related to self-reported likelihood of drink driving. However, when the attitudes variable was entered, these individual factors were no longer significant; with attitudes being the most important predictor of self-reported drink driving likelihood. A significant mediation model was found with the second aim of the study, such that attitudes mediated the relationship between risk-taking and self-reported likelihood of drink driving. Considerable effort and resources are utilised by traffic authorities to reducing drink driving on the Australian road network. Notwithstanding these efforts, some participants still had some positive attitudes towards drink driving and reported that they were likely to drink drive in the future. These findings suggest that more work is needed to address attitudes regarding the dangerousness of drink driving.

The human embryo as property? Cryopreservation and the challenges for law

The development of the new reproductive technologies has presented significant challenges for policy makers and law reformers. This article focuses on the particular challenges posed by cryopreservation of embryos. These issues are analysed through discussion of relevant Australian statutory provisions and United States case law. The article concludes with a consideration of whether the property model provides an appropriate framework for reproductive material.

Review: "Controversies in Health Law" by In Freckelton and Kerry Peterson

During the past couple of decades health law has been transformed. Within that period we have been confronted with advances in medical science, particularly in genetics, reproductive technology and life-sustaining treatments. Health care has become more expensive, more consumer oriented and more litigious. In addition, the ethical implications of these developments, and the role for law, both as a regulator of health care and in its responses to emerging challenges, have occupied policy-makers, law reformers, health professionals, ethicists and the broader community in Australia and overseas. While many issues have emerged from these developments, there have been few easy solutions...

Guest editorial : the body and the law

This issue of the Journal of Law and Medicine seeks to explore the law's relationship with the human body within a broad context of social, cultural and technological considerations. It does this both in terms of the ways in which the law constitutes the body (for example, by labelling it as property or otherwise), and in terms of the legal rules which regulate rights to bodies and body parts.

Medical science and the law

Advances in medical science have presented both law and bioethics with some of the most fascinating questions of our time. As science continues to forge ahead into new frontiers, in fields such as reproductive technology, human genetics, cloning technologies, and stem cell research, questions have arisen over the role for law in regulating this new terrain. The speed with which medical science has advanced, and continues to advance, can make it difficult to formulate appropriate regulatory responses. The rapid pace of scientific change and the increasing complexity of the science can present hurdles and barriers to the engagement of the public with science and the legal and ethical issues raised by it.

Strategic intelligence in law enforcement : anticipating transnational organised crime

This thesis is an explorative study of four national level law enforcement agencies' applications of strategic intelligence against transnational organised crime. The thesis develops a hybrid conceptual model for strategic intelligence in law enforcement, which explains how strategic intelligence influences police management. Dr Coyne explored case studies of strategic intelligence in the Criminal Intelligence Service Canada, Serious and Organised Crime Agency United Kingdom, Australian Crime Commission and the Australian Federal Police. The research provides an understanding of the impact of strategic intelligence across strategic responses to transnational organised crime and the implications this has for police management and intelligence theory.

Interpretation of association rules with multi-tier granule mining

This study was a step forward to improve the performance for discovering useful knowledge – especially, association rules in this study – in databases. The thesis proposed an approach to use granules instead of patterns to represent knowledge implicitly contained in relational databases; and multi-tier structure to interpret association rules in terms of granules. Association mappings were proposed for the construction of multi-tier structure. With these tools, association rules can be quickly assessed and meaningless association rules can be justified according to the association mappings. The experimental results indicated that the proposed approach is promising.

Analysing the Prospects of a Successful Application Under s 180 of the Property Law Act 1974 (Qld)

Section 180 of the Property Law Act 1974 (Qld) makes provision for an applicant to seek a statutory right of user over a neighbour’s property where such right of use is reasonably necessary in the interests of effective use in any reasonable manner of the dominant land. In recent years, the Queensland courts have been confronted with a number of such applications. Litigation has also been common in New South Wales which has a statutory provision in largely similar terms. This article seeks to identify those factors that have underpinned successful applications, the obstacles that an applicant may encounter and the considerations that have guided the courts when considering the associated issues of compensation and costs.

Facilitating query decomposition in query language modeling by association rule mining using multiple sliding windows

This paper presents a novel framework to further advance the recent trend of using query decomposition and high-order term relationships in query language modeling, which takes into account terms implicitly associated with different subsets of query terms. Existing approaches, most remarkably the language model based on the Information Flow method are however unable to capture multiple levels of associations and also suffer from a high computational overhead. In this paper, we propose to compute association rules from pseudo feedback documents that are segmented into variable length chunks via multiple sliding windows of different sizes. Extensive experiments have been conducted on various TREC collections and our approach significantly outperforms a baseline Query Likelihood language model, the Relevance Model and the Information Flow model.

ACE research briefing paper 007 : Ken Talbot - an entrepreneur's contribution to the growth of the Australian Mining Industry

Ken Talbot was one of Australian mining’s most successful entrepreneurs and rose to the top of his industry to become one of Australia’s wealthiest men. Although the nation’s resources industry is synonymous with global names such as Xstrata, BHP Billiton and Rio Tinto, Ken was an individual who made a big impact on the development and growth of the sector. This case study examines Ken’s achievements, his transition from employee to entrepreneur, and the qualities that enabled him to succeed at such a high level. In particular, it focuses on his Jellinbah and Coppabella mining developments that directly led to the creation of Macarthur Coal and the Talbot Group. By the time of his premature death in an African plane crash in 2010, Ken had amassed a fortune estimated at almost $1 billion and was aged just 59. The last publically available Talbot Group annual report for calendar year 2009 showed that the investment portfolio of the group returned 113 per cent that year. Even throughout the global financial crisis the portfolio made a positive return on investment of no less than 10 per cent. Ken’s sense of mateship and his tremendous people skills were keys to his success in the mining industry and the wider community. In addition to excelling in business, he is also remembered for his philanthropy and leaving 30 per cent of his estate to charity through the Talbot Family Foundation.