The debate about the ethical implications of Artificial Intelligence dates from the 1960s :741–742, 1960; Wiener in Cybernetics: or control and communication in the animal and the machine, MIT Press, New York, 1961). However, in recent years symbolic AI has been complemented and sometimes replaced by Neural Networks and Machine Learning techniques. This has vastly increased its potential utility and impact on society, with the consequence that the ethical debate has gone mainstream. Such a debate has primarily focused on principles—the (...) ‘what’ of AI ethics —rather than on practices, the ‘how.’ Awareness of the potential issues is increasing at a fast rate, but the AI community’s ability to take action to mitigate the associated risks is still at its infancy. Our intention in presenting this research is to contribute to closing the gap between principles and practices by constructing a typology that may help practically-minded developers apply ethics at each stage of the Machine Learning development pipeline, and to signal to researchers where further work is needed. The focus is exclusively on Machine Learning, but it is hoped that the results of this research may be easily applicable to other branches of AI. The article outlines the research method for creating this typology, the initial findings, and provides a summary of future research needs. (shrink)

Fear appeals are used in many domains. Cybersecurity researchers are also starting to experiment with fear appeals, many reporting positive outcomes. Yet there are ethical concerns related to the use of fear to motivate action. In this paper, we explore this aspect from the perspectives of cybersecurity fear appealdeployersandrecipients. We commenced our investigation by considering fear appeals from three foundational ethical perspectives. We then consulted the two stakeholder groups to gain insights into the ethical concerns they consider to be pertinent. (...) We first consulteddeployers: (a) fear appeal researchers and (b) Chief Information Security Officers (CISOs), and then potential cybersecurity fear appealrecipients:members of a crowdsourcing platform. We used their responses to develop aneffects-reasoning matrix, identifying the potential benefits and detriments of cybersecurity fear appeals for all stakeholders. Using these insights, we derived six ethical principles to guide cybersecurity fear appeal deployment. We then evaluated a snapshot of cybersecurity studies using the ethical principle lens. Our contribution is,first, a list of potential detriments that could result from the deployment of cybersecurity fear appeals andsecond, the set of six ethical principles to inform the deployment of such appeals. Both of these are intended to inform cybersecurity fear appeal design and deployment. (shrink)

With the delegation of ethical checking mechanisms to the institutional review boards (IRBs), flexible interpretations of overarching research ethics principles differed across scientific and cultural settings. This article is a comparative case study of ethical frameworks for social research in the Philippines and Taiwan. Justifications in choosing the two cases preponderantly focused on data trends regarding research and development (R&D) policy and practice. This article compared the elements observed in the two frameworks, specifically in terms of: national regulations, curricular requirements, (...) procedures for IRB review application, and other arrangements. Findings revealed that the Philippine academe enjoys relative autonomy or described as more fragmented, unlike Taiwan institutions that strictly follow centralized and country-wide standardization. The intensification of research ethics in Taiwan did not, however, hamper R&D efforts. On the contrary, the Taiwan model may have strengthened the current research ecosystem and bolstered confidence in the different sectors, thus generating multi-sectoral funding and collaborations. (shrink)

Meeting appropriate ethical standards for research involving human participants, mean ensuring confidentiality. It is assumed that the research participant will accept the safeguarding protocols necessary to ensure confidentiality. This assumption however oversimplifies the variation of motivations that goes into participants’ decisions to participate in research. Drawing on reflections from my fieldwork experience in Ghana, I answer the questions: Why do research participants reject confidentiality? What ethical position can one take when the researcher and the researched have conflicting perspectives about confidentiality? (...) I contend that participants with personal stake refuse confidentiality when they want to be acknowledged for their data. Rejecting confidentiality is however, embedded in the individual perspective, cultural, and political context of the study area. The ethical concerns of such refusal can be ameliorated if confidentiality is nuanced to include six categorically distinct but mutually non-exclusive stages: research-planning, ongoing-information, writing-up, reality-after-research, differential-disseminations, and no-confidentiality-clause. The paper further argues that whilst maintaining institutional allegiance in this matter is crucial, employing confidentiality should lie at the intersection of participants’ motivation for taking part in the research, the socio-cultural-specific-context of the study location and the nature of the topic being explored. (shrink)