Green criminology and the reconceptualization of school violence: Comparing green school violence and traditional forms of school violence for school children

School crime and violence continue to be important topics of criminological inquiry. Forms of violence that have received much attention from criminologists include school gun violence, assaults, and bullying. What appears missing from criminological studies are analyses of different forms of violent victimization imposed on school children related to environmental injustice, pollution, and exposure to toxins. In this article, we argue for the interpretation of these harms as violent victimizations. To facilitate this, we draw upon definitions of violent victimization developed in green criminology, conceptualizing exposure to environmental toxins as violent assault, and introduce the term green school violence (GSV). Next, we draw upon the medical, environmental, and public health literature to offer a series of examples of GSV in the United States, discuss numerous environmental hazards present in American schools, and describe their scope and severity. A conservative estimate of the frequency of GSV suggests that far more school children are victimized by GSV than forms of interpersonal acts of violence

Testing The Marshall Hypothesis: A Survey Among Justice And Safety College Students

In his concurrence with the Supreme Court ruling in Furman v. Georgia (1972), Justice Thurgood Marshall postulated that levels of support for capital punishment are associated with the amount of knowledge about the death penalty process. He suggested that exposure to information about capital punishment produces sentiments in opposition to capital punishment except in instances for which support is based on retributive beliefs. These notions have become known as the Marshall Hypothesis and have been empirically tested among a variety of populations. The research presented in this thesis adds to that body of literature by testing these ideas among a sample of students in the College of Justice and Safety at Eastern Kentucky University. Results from a self-administered survey provide support for two of the three hypotheses originally posited by Justice Marshall. Implications of these findings are discussed and suggestions for future research are provided

MIchigan Climate Assessment 2019: Considering Michigan\u27s Future in a Changing Climate

https://commons.emich.edu/michigan_climate2019/1000/thumbnail.jp

A Red Teaming Framework for Securing AI in Maritime Autonomous Systems

Artificial intelligence (AI) is being ubiquitously adopted to automate processes in science and industry. However, due to its often intricate and opaque nature, AI has been shown to possess inherent vulnerabilities which can be maliciously exploited with adversarial AI, potentially putting AI users and developers at both cyber and physical risk. In addition, there is insufficient comprehension of the real-world effects of adversarial AI and an inadequacy of AI security examinations; therefore, the growing threat landscape is unknown for many AI solutions. To mitigate this issue, we propose one of the first red team frameworks for evaluating the AI security of maritime autonomous systems. The framework provides operators with a proactive (secure by design) and reactive (post-deployment evaluation) response to securing AI technology today and in the future. This framework is a multi-part checklist, which can be tailored to different systems and requirements. We demonstrate this framework to be highly effective for a red team to use to uncover numerous vulnerabilities within a real-world maritime autonomous systems AI, ranging from poisoning to adversarial patch attacks. The lessons learned from systematic AI red teaming can help prevent MAS-related catastrophic events in a world with increasing uptake and reliance on mission-critical AI

A Red Teaming Framework for Securing AI in Maritime Autonomous Systems

Artificial intelligence (AI) is being ubiquitously adopted to automate processes in science and industry. However, due to its often intricate and opaque nature, AI has been shown to possess inherent vulnerabilities which can be maliciously exploited with adversarial AI, potentially putting AI users and developers at both cyber and physical risk. In addition, there is insufficient comprehension of the real-world effects of adversarial AI and an inadequacy of AI security examinations; therefore, the growing threat landscape is unknown for many AI solutions. To mitigate this issue, we propose one of the first red team frameworks for evaluating the AI security of maritime autonomous systems. The framework provides operators with a proactive (secure by design) and reactive (post-deployment evaluation) response to securing AI technology today and in the future. This framework is a multi-part checklist, which can be tailored to different systems and requirements. We demonstrate this framework to be highly effective for a red team to use to uncover numerous vulnerabilities within a real-world maritime autonomous systems AI, ranging from poisoning to adversarial patch attacks. The lessons learned from systematic AI red teaming can help prevent MAS-related catastrophic events in a world with increasing uptake and reliance on mission-critical AI

The Neglect of Quantitative Research in Green Criminology and Its Consequences

While interest in green criminology has rapidly expanded over the past twenty-five years, much of this growth has occurred on the periphery of orthodox criminology. This article suggests that green criminology’s marginalization is partially a result of its non-quantitative methodology. We hypothesize that non-quantitative tendencies within green criminology distance it from orthodox criminology because orthodox criminology values quantitative methods (Tewksbury et al. in J Crim Justice Educ 16(2):265–279, 2005). Here, we examine how neglecting quantitative research methods may contribute to inattention to green criminology within orthodox criminology, and we consider what can be done to change that situation. We suggest that employing quantitative approaches within green criminology is one way to increase its appeal to mainstream criminology, and that quantitative studies, in conjunction with other research methodologies, can also enhance generalizability of findings, influence policy, and advance theory construction and hypothesis testing

Does the modernization of environmental enforcement reduce toxic releases? An examination of self-policing, criminal prosecutions and toxic releases in the United States, 1988–2014

According to modernization theory, enforcement schemes that rely on end-of-the-pipe regulation are not as effective at achieving improved environmental performance as market-based approaches that encourage pollution prevention. Consistent with that observation, the U.S. Environmental Protection Agency transitioned to the use of self-policing to encourage pollution prevention. Other studies note that environmental compliance is significantly affected by traditional “command-and-control” strategies. Using Prais Winston regression we examine these contrasting views by estimating the relationship between toxic releases, self-policing, and criminal prosecutions from 1988 through 2014. Initial correlations suggest that (1) self-policing is not associated with toxic releases but that (2) criminal prosecutions may reduce toxic releases through general deterrence signals. Subsequent analyses controlling for gross domestic product revealed that neither self-policing nor criminal enforcement correlate with toxic releases but that gross domestic product was the strongest predictor of emissions. The implications of these findings for the control of toxic emissions are discussed

Report from the PredictER Expert Panel Meeting, November 2, 2007

On November 2, 2007, the Indiana University Center for Bioethics convened an expert panel on predictive health research (PHR) as part of the Center’s Program in Predictive Health Ethics Research (http://www.bioethics.iu.edu/predicter.asp) which is supported by a grant from the Richard M. Fairbanks Foundation. The goal of this meeting was to identify the major obstacles and opportunities for engaging the community in PHR. PredictER intends to use the results of this meeting as a first step toward more fully engaging the Indianapolis community in discussions about PHR.Richard M. Fairbanks Foundatio