Roderic Broadhurst is Professor of Criminology at RegNet. He is Director of the ANU Cybercrime Observatory which was established in 2012. The Observatory is a focal point for research on human factors and cybercrime.
His current research focuses on crime and development, the recidivism of homicide offenders, cybercrime and organized and transnational crime.
You might also like
A new report from the ANU Cybercrime Observatory, Artificial Intelligence and Crime addresses the pressing challenges to cyber safety and security that automated crime-‐ware or malware pose to increasingly common automated processes in many domains of modern life. The research paper also highlights the role artificial intelligence programs may play in preventing cybercrime, particularly in detecting and mitigating the interference and manipulation of the data relied upon for automated decision making or guidance.
Investment and interest in developing machine learning (ML) technologies that underpin AI capabilities across industry, civil and military applications have grown exponentially in the past decade. This investment in AI research and development has boosted innovation and productivity as well as intensifying competition between states in the race to gain technological advantage. The scale of data acquisition and aggregation essential for the ‘training’ of effective AI via ML pattern recognition processes also poses broader associated risks to privacy and fairness as such technology shifts from a niche to a general purpose technology. The potential weaponisation of AI applications such as computational marketing, ‘deep’ fake images or news and enhanced surveillance, however, are pressing challenges to democracies and human rights. Poorly implemented ethical, accountability and regulatory measures will also provide opportunities for criminal activity as well as the potential of accidents, unreliability and other unintended consequences.
Read the entire Artificial Intelligence and Crime report via the link below.