This paper explores the potential of data mining as a technique that could be used by malicious data miners to threaten the privacy of social network sites users. It applies a data mining algorithm to a real dataset to provide empirically-based evidence of the ease with which characteristics about the SNS users can be discovered and used in a way that could invade their privacy. One major contribution of this article is the use of the decision forest data mining algorithm (...) to the context of SNS, which does not only build a decision tree but rather a forest allowing the exploration of more logic rules from a dataset. One logic rule that SysFor built in this study, for example, revealed that anyone having a profile picture showing just the face or a picture showing a family is less likely to be lonely. Another contribution of this article is the discussion of the implications of the data mining problem for governments, businesses, developers and the SNS users themselves. (shrink)

Revelations of personal matters often have negative consequences for social-media users. These consequences trigger frequent warnings, practical rather than moral in nature, that social-media users should consider carefully what they reveal about themselves since their revelations might cause them various difficulties in the future. I set aside such practical considerations and argue that social-media users have a moral obligation to maintain their own privacy that is rooted in the duty to self-censor. Although Anita L. Allen provides a paternalist justification of (...) the duty that supports my position that social-media users are obligated to self-censor what they reveal about themselves, I justify the obligation through considerations that are more palatable to liberals than is paternalism. I accomplish this by arguing that the failure to self-censor often creates for others undue burdens that individuals are obligated morally not to create. In particular, social-media revelations often create undue burdens for those, such as employers and university personnel, who are obligated morally to respect individuals’ privacy in their decision-making processes. I also demonstrate that this argument is not for a broad duty to self-censor, but, rather, for a narrow duty that applies to particular circumstances such as certain uses of social media. (shrink)

The conjunction of wireless computing, ubiquitous Internet access, and the miniaturisation of sensors have opened the door for technological applications that can monitor health and well-being outside of formal healthcare systems. The health-related Internet of Things (H-IoT) increasingly plays a key role in health management by providing real-time tele-monitoring of patients, testing of treatments, actuation of medical devices, and fitness and well-being monitoring. Given its numerous applications and proposed benefits, adoption by medical and social care institutions and consumers may be (...) rapid. However, a host of ethical concerns are also raised that must be addressed. The inherent sensitivity of health-related data being generated and latent risks of Internet-enabled devices pose serious challenges. Users, already in a vulnerable position as patients, face a seemingly impossible task to retain control over their data due to the scale, scope and complexity of systems that create, aggregate, and analyse personal health data. In response, the H-IoT must be designed to be technologically robust and scientifically reliable, while also remaining ethically responsible, trustworthy, and respectful of user rights and interests. To assist developers of the H-IoT, this paper describes nine principles and nine guidelines for ethical design of H-IoT devices and data protocols. (shrink)

Research is subject to more stringent ethical requirements than most other human activities, and a procedure that is otherwise allowed may be forbidden in research. Hence, risk-taking is more restricted in scientific research than in most non-research contexts, and privacy is better protected in scientific questionnaires than in marketing surveys. Potential arguments for this difference are scrutinized. The case in its favour appears to be weak. A stronger case can be made in favour of a difference in the opposite direction: (...) If perilous or otherwise problematic activities have to be performed it is usually better to perform them in a research context where they are properly evaluated so that guidance is obtained for the future. However, retreating from current ethical demands on research is not a desirable direction to go. Instead, research ethics can serve to inspire the introduction of more stringent ethical principles in other social sectors. (shrink)

:Brain–computer interfaces are driven essentially by algorithms; however, the ethical role of such algorithms has so far been neglected in the ethical assessment of BCIs. The goal of this article is therefore twofold: First, it aims to offer insights into whether the problems related to the ethics of BCIs can be better grasped with the help of already existing work on the ethics of algorithms. As a second goal, the article explores what kinds of solutions are available in that body (...) of scholarship, and how these solutions relate to some of the ethical questions around BCIs. In short, the article asks what lessons can be learned about the ethics of BCIs from looking at the ethics of algorithms. To achieve these goals, the article proceeds as follows. First, a brief introduction into the algorithmic background of BCIs is given. Second, the debate about epistemic concerns and the ethics of algorithms is sketched. Finally, this debate is transferred to the ethics of BCIs. (shrink)

:This article examines privacy threats arising from the use of data mining by private Australian health insurance companies. Qualitative interviews were conducted with key experts, and Australian governmental and nongovernmental websites relevant to private health insurance were searched. Using Rationale, a critical thinking tool, the themes and considerations elicited through this empirical approach were developed into an argument about the use of data mining by private health insurance companies. The argument is followed by an ethical analysis guided by classical philosophical (...) theories—utilitarianism, Mill’s harm principle, Kant’s deontological theory, and Helen Nissenbaum’s contextual integrity framework. Both the argument and the ethical analysis find the use of data mining by private health insurance companies in Australia to be unethical. Although private health insurance companies in Australia cannot use data mining for risk rating to cherry-pick customers and cannot use customers’ personal information for unintended purposes, this article nonetheless concludes that the secondary use of customers’ personal information and the absence of customers’ consent still suggest that the use of data mining by private health insurance companies is wrong. (shrink)

Privacy remains an intractable ethical issue for the information society, and one that is exacerbated by modern applications of artificial intelligence. Given its complicity, there is a moral obligation to redress privacy issues in systems engineering practice itself. This paper investigates the role the concept of privacy plays in contemporary systems engineering practice. Ontologically a nominalist human concept, privacy is considered from an appropriate engineering perspective: human-centred design. Two human-centred design standards are selected as exemplars of best practice, and are (...) analysed using an existing multi-dimensional privacy model. The findings indicate that the human-centred standards are currently inadequate in dealing with privacy issues. Some implications for future practice are subsequently highlighted. (shrink)

Using a Rawlsian approach to analyze the ethical implications of data mining within three major codes of ethics used by American marketing firms, the author argues that marketers should re-conceptualize their business conduct, as defined in their individual codes of ethics, to incorporate a Rawlsian concern for society's least advantaged members. Rawls's concept of primary goods provides the framework for the argument that anonymity, a component of privacy, is vital for consumers whose autonomy is affected by data mining. A combination (...) of practical measures, ethical guidelines, and legislative protections are recommended for minimizing concerns about data mining, while still allowing for commercial advantages provided by the practice. (shrink)

The opaque use of data collection methods on the WWW has given rise to privacy concerns among Internet users. Privacy policies on websites may ease these concerns, if they communicate clearly and unequivocally when, how and for what purpose data are collected, used or shared. This paper examines privacy policies from a linguistic angle to determine whether the language of these documents is adequate for communicating data-handling practices in a manner that enables informed consent on the part of the user. (...) The findings highlight that corporate privacy policies obfuscate, enhance and mitigate unethical data handling practices and use persuasive appeals to increase companies’ trustworthiness. The communicative strategies identified provide starting points for redesigning existing privacy statements with a view to communicating data handling practices in a more transparent and responsible manner, laying the groundwork for informed consent. (shrink)

Academic research into RFID technology has largely neglected ethics. What scarce research was being performed has now dwindled despite having some consumers continue to express their ethical concerns. This article aims at reducing this apparent void by exploring the antecedents that cause the public to react when consumers are targeted by RFID technology. Through the analysis of 11 real RFID implementations used to target consumers, our research indicates that several factors can influence consumer response through the distinct nature of the (...) technology, namely, Customization of communications, Imposition of tag use, Segmentation and targeting, Modified role of the sales representative, Physical distance between the consumer and the tag, and Security of transactions. The article then proposes a construct to determine the risk of raising consumer ethical concerns. The construct of “Connective Proximity” and its three components are defined. Our research highlights the need for further studies on the ethical considerations of tagging humans and specifically tracking consumers when performing marketing activities with RFID technology. Our article aims at invigorating research on this topic, which has a lot to contribute to both society and corporations. (shrink)