To assess ethics pedagogy in science and engineering, we developed a new tool called the Engineering and Science Issues Test (ESIT). ESIT measures moral judgment in a manner similar to the Defining Issues Test, second edition, but is built around technical dilemmas in science and engineering. We used a quasi-experimental approach with pre- and post-tests, and we compared the results to those of a control group with no overt ethics instruction. Our findings are that several (but not all) stand-alone classes (...) showed a significant improvement compared to the control group when the metric includes multiple stages of moral development. We also found that the written test had a higher response rate and sensitivity to pedagogy than the electronic version. We do not find significant differences on pre-test scores with respect to age, education level, gender or political leanings, but we do on whether subjects were native English speakers. We did not find significant differences on pre-test scores based on whether subjects had previous ethics instruction; this could suggest a lack of a long-term effect from the instruction. (shrink)

New technologies from artificial intelligence to drones, and biomedical enhancement make the future of the human family increasingly hard to predict and protect. This book explores how the philosophical tradition of virtue ethics can help us to cultivate the moral wisdom we need to live wisely and well with emerging technologies.

Privacy is a critical challenge for corporate social responsibility in the mobile device ecosystem. Mobile application firms can collect granular and largely unregulated data about their consumers, and must make ethical decisions about how and whether to collect, store, and share these data. This paper conducts a discourse analysis of mobile application developer forums to discover when and how privacy conversations, as a representative of larger ethical debates, arise during development. It finds that online forums can be useful spaces for (...) ethical deliberations, as developers use these spaces to define, discuss, and justify their values. It also discovers that ethical discussions in mobile development are prompted by work practices which vary considerably between iOS and Android, today’s two major mobile platforms. For educators, regulators, and managers interested in encouraging more ethical discussion and deliberation in mobile development, these work practices provide a valuable point of entry. But while the triggers for privacy conversations are quite different between platforms, ultimately the justifications for privacy are similar. Developers for both platforms use moral and cautionary tales, moral evaluation, and instrumental and technical rationalization to justify and legitimize privacy as a value in mobile development. Understanding these three forms of justification for privacy is useful to educators, regulators, and managers who wish to promote ethical practices in mobile development. (shrink)

A team of philosophers and scientists at Dartmouth College worked for three years to create, train faculty and pilot test an adequate and exportable class in research methods for graduate students of science and engineering. Developing and testing methods for evaluating students’ progress in learning research ethics were part of the project goals. Failure of methods tried in the first year led to the refinement of methods for the second year. These were used successfully in the pilot course and in (...) one university setting external to Dartmouth. The process of development and justification for the final methods are discussed here. (shrink)

As information systems transform our world, computer scientists design affordances that influence the uses and impacts of these technological objects. This article describes how the practices of design affect the social values materialized in emerging technologies, and explores how design practices can encourage ethical reflection and action. The article presents an ethnography of a laboratory that engineered software for mobile phones to track users’ locations, habits, and behaviors. This technical work raised a number of ethical challenges, particularly around questions of (...) data use and surveillance. The ethnography suggests that particular activities within laboratories can help engineers agree on social values as important to design. It characterizes these activities as values levers: practices that open new conversations about social values and encourage consensus around those values as design criteria. Laboratory leaders and advocates can enable and strengthen these levers to encourage ethical reflection and action as an explicit part of design practice. (shrink)

To assess ethics pedagogy in science and engineering, we developed a new tool called the Engineering and Science Issues Test. ESIT measures moral judgment in a manner similar to the Defining Issues Test, second edition, but is built around technical dilemmas in science and engineering. We used a quasi-experimental approach with pre- and post-tests, and we compared the results to those of a control group with no overt ethics instruction. Our findings are that several stand-alone classes showed a significant improvement (...) compared to the control group when the metric includes multiple stages of moral development. We also found that the written test had a higher response rate and sensitivity to pedagogy than the electronic version. We do not find significant differences on pre- test scores with respect to age, education level, gender or political leanings, but we do on whether subjects were native English speakers. We did not find significant differences on pre- test scores based on whether subjects had previous ethics instruction; this could suggest a lack of a long-term effect from the instruction. (shrink)

The particular design of any technology may have profound social implications. Computing technologies are deeply intermeshed with the activities of daily life, playing an ever more central role in how we work, learn, communicate, socialize, and participate in government. Despite the many ways they have improved life, they cannot be regarded as unambiguously beneficial or even value-neutral. Recent experience shows they can lead to unintended but harmful consequences. Some technologies are thought to threaten democracy through the spread of propaganda on (...) online social networks, or to threaten privacy through the aggregation of datasets that include increasingly personal information, or to threaten justice when machine learning is used in such high-stakes, decision-making contexts as loan application reviews, employment procedures, or parole hearings. It is insufficient to ethically assess technology after it has produced negative social impacts, as has happened, for example, with facial recognition software that discriminates against people of color and with self-driving cars that are unable to cope with pedestrians who jay-walk. Developers of new technologies should aim to identify potential harmful consequences early in the design process and take steps to eliminate or mitigate them. This task is not easy. Designers will often have to negotiate among competing values—for instance, between efficiency and accessibility for a diverse user population, or between maximizing benefits and avoiding harm. There is no simple recipe for identifying and solving ethical problems. -/- Computer science education can help meet these challenges by making ethical reasoning about computing technologies a central element in the curriculum. Students can learn to think not only about what technology they could create, but also whether they should create that technology. Learning to reason this way requires courses unlike those currently standard in computer science curricula. A range of university courses on topics in areas of computing, ethics, society and public policy are emerging to meet this need. Some cover computer science broadly, while others focus on specific problems like privacy and security; typically, these classes exist as stand-alone courses in the computer science curriculum. Others have integrated ethics into the teaching of introductory courses on programming, artificial intelligence, and human-computer interaction. (shrink)

Technological change is often seen as something that follows its own logic -- something we may welcome, or about which we may protest, but which we are unable to alter fundamentally. This reader challenges that assumption and its distinguished contributors demonstrate that technology is affected at a fundamental level by the social context in which it develops. General arguments are introduced about the relation of technology to society and different types of technology are examined: the technology of production: domestic and (...) reproductive technology; and military technology. The book draws on authors from Karl Marx to Cynthia Cockburn to show that production technology is shaped by social relations in the workplace. It moves on to the technologies of the household and biological reproduction, which are topics that male-dominated social science has tended to ignore or trivialise -- though these are actually of crucial significance where powerful shaping factors are at work, normally unnoticed. The final section asks what shapes the most frightening technology of all -- the technology of weaponry, especially nuclear weapons. The editors argue that social scientists have devoted disproportionate attention to the effects of technology on society, and tended to ignore the more fundamental question of what shapes technology in the first place. They have drawn both on established work in the history and sociology of technology and on newer feminist perspectives to show just how important and fruitful it is to try to answer that deeper question. The first edition of this reader, published in 1985, had a considerable influence on thinking about the relationship between technology andsociety. This second edition has been thoroughly revised and expanded to take into account new research and the emergence of new theoretical perspectives. (shrink)