In this essay, a new approach to the ethics of emerging information technology will be presented, called anticipatory technology ethics (ATE). The ethics of emerging technology is the study of ethical issues at the R&D and introduction stage of technology development through anticipation of possible future devices, applications, and social consequences. In the essay, I will first locate emerging technology in the technology development cycle, after which I will consider ethical approaches to emerging technologies, as well as obstacles in developing (...) such approaches. I will argue that any sound approach must centrally include futures studies of technology. I then present ATE and some applications of it to emerging information technologies. In ATE, ethical analysis is performed at three levels, the technology, artifact and application levels, and at each levels distinct types of ethical questions are asked. ATE analyses result in the identification and evaluation of a broad range of ethical issues that can be anticipated in relation to an emerging information technology. This ethical analysis can then be used for ethical recommendations for design or governance. (shrink)

Using Asimov’s “Bicentennial Man” as a springboard, a number of metaethical issues concerning the emerging field of machine ethics are discussed. Although the ultimate goal of machine ethics is to create autonomous ethical machines, this presents a number of challenges. A good way to begin the task of making ethics computable is to create a program that enables a machine to act an ethical advisor to human beings. This project, unlike creating an autonomous ethical machine, will not require that we (...) make a judgment about the ethical status of the machine itself, a judgment that will be particularly difficult to make. Finally, it is argued that Asimov’s “three laws of robotics” are an unsatisfactory basis for machine ethics, regardless of the status of the machine. (shrink)

Technological revolutions are dissected into three stages: the introduction stage, the permeation stage, and the power stage. The information revolution is a primary example of this tripartite model. A hypothesis about ethics is proposed, namely, ethical problems increase as technological revolutions progress toward and into the power stage. Genetic technology, nanotechnology, and neurotechnology are good candidates for impending technological revolutions. Two reasons favoring their candidacy as revolutionary are their high degree of malleability and their convergence. Assuming the emerging technologies develop (...) into mutually enabling revolutionary technologies, we will need better ethical responses to cope with them. Some suggestions are offered about how our approach to ethics might be improved. (shrink)

Traditionally, the manufacturer/operator of a machine is held (morally and legally) responsible for the consequences of its operation. Autonomous, learning machines, based on neural networks, genetic algorithms and agent architectures, create a new situation, where the manufacturer/operator of the machine is in principle not capable of predicting the future machine behaviour any more, and thus cannot be held morally responsible or liable for it. The society must decide between not using this kind of machine any more (which is not a (...) realistic option), or facing a responsibility gap, which cannot be bridged by traditional concepts of responsibility ascription. (shrink)

A principal goal of the discipline of artificial morality is to design artificial agents to act as if they are moral agents. Intermediate goals of artificial morality are directed at building into AI systems sensitivity to the values, ethics, and legality of activities. The development of an effective foundation for the field of artificial morality involves exploring the technological and philosophical issues involved in making computers into explicit moral reasoners. The goal of this paper is to discuss strategies for implementing (...) artificial morality and the differing criteria for success that are appropriate to different strategies. (shrink)

Traditionally, the manufacturer/operator of a machine is held (morally and legally) responsible for the consequences of its operation. Autonomous, learning machines, based on neural networks, genetic algorithms and agent architectures, create a new situation, where the manufacturer/operator of the machine is in principle not capable of predicting the future machine behaviour any more, and thus cannot be held morally responsible or liable for it. The society must decide between not using this kind of machine any more (which is not a (...) realistic option), or facing a responsibility gap, which cannot be bridged by traditional concepts of responsibility ascription. (shrink)

This paper proposes a framework for an ethical impact assessment which can be performed in regard to any policy, service, project or programme involving information technology. The framework is structured on the four principles posited by Beauchamp and Childress together with a separate section on privacy and data protection. The framework identifies key social values and ethical issues, provides some brief explanatory contextual information which is then followed by a set of questions aimed at the technology developer or policy-maker to (...) facilitate consideration of ethical issues, in consultation with stakeholders, which may arise in their undertaking. In addition, the framework includes a set of ethical tools and procedural practices which can be employed as part of the ethical impact assessment. Although the framework has been developed within a European context, it could be applied equally well beyond European borders. (shrink)

The purpose of this paper is to present some of the findings (which were reported on more extensively in earlier work) regarding the visibility of gender issues in the literature on selected information and communication technologies (ICTs) with a view to make predictions about potential ethical issues that the application of these ICTs may bring about in the future. On the basis of the analysis of around 100 published sources, which dealt with various aspects of selected ICTs, conclusions have been (...) drawn regarding gender issues and concerns that the applications of these ICTs may cause. The authors' analysis is theoretically informed by critical discourse analysis (CDA) which assumes that texts, both written and spoken, as well as other forms of symbolic representations, are indicative of social practices. Of particular methodological relevance was the survey of methods of text and discourse analysis presented in Titscher et al and especially the application of keyword search as a way to measure the prominence of each investigated method. This approach to literature surveying proved very useful in selecting analytic material: only those published sources on the selected four ICTs have been included in the survey, for which the analysis of keywords, abstracts and indexes of terms indicated authors' interest in gender issues. Findings - First, ICTs such as affective computing, ambient intelligence, and artificial intelligence, have been found to have the potential of positively affecting gender power relations and thus positively affecting gender balance in the areas of labour market related to ICT across EU countries and worldwide. Second, more research on the relationship between gender and ICT design, application and representation is needed, so as to enhance a better understanding of ethical issues resulting from unequal participation of women and men in all aspects of ICT production and implementation, which in itself is an ethical dilemma with which both the ICT business and legislators have to grapple. The paper offers insight into the relationship between the level of attention devoted to particular ICTs by ICT researchers, as evidenced in the reviewed literature, and the likelihood of the application of a particular ICT in the future, which is looked at and assessed from a gender perspective. (shrink)

Ethical issues of information and communication technologies (ICTs) are important because they can have significant effects on human liberty, happiness, and people’s ability to lead a good life. They are also of functional interest because they can determine whether technologies are used and whether their positive potential can unfold. For these reasons, policy makers are interested in finding out what these issues are and how they can be addressed. The best way of creating ICT policy that is sensitive to ethical (...) issues pertain to being proactive in addressing such issues at an early stage of the technology life cycle. The present paper uses this position as a starting point and discusses how knowledge of ethical aspects of emerging ICTs can be gained. It develops a methodology that goes beyond established futures methodologies to cater for the difficult nature of ethical issues. The authors outline how the description of emerging ICTs can be used for an ethical analysis. (shrink)

Expert systems are knowledge-based information systems which are expected to have human attributes in order to replicate human capacity in ethical decision making. An expert system functions by virtue of its information, its inferential rules, and its decision criteria, each of which may be problematic. This paper addresses three basic reasons for ethical concern when using the currently available expert systems in a decisions-making capacity. These reasons are (1) expert systems' lack of human intelligence, (2) expert systems' lack of emotions (...) and values, and (3) expert systems' possible incorporation of intentional or accidental bias. For these reasons artificial ethics seems to be science fiction. Consequently, expert systems should be used only in an advising capacity and managers should not absolve themselves from legal and ethical responsibility when using expert systems in decision making. (shrink)

To effectively pursue ethical action, the business community must recognize that the fundamental form of human association is not the "social contract" into which persons enter as atomic individuals, making partial commitments to each other for the purpose of gaining limited common ends or of satisfying certain laws. The fundamental form of human association is rather the face to face community in which ongoing commitments are the rule and in which aspects of every individual''s experience are conditioned by the continuing (...) membership. The following discussion initiates a preliminary phase in the consideration of what constitutes ethical issues associated with the business applications of expert systems. The focus is on knowledge based expert system applications in public accounting, specifically in the audit domain. Prior research on the development and use of expert systems in auditing has focused on a limited set of ethical issues. Niebuhr''s theory of the "the responsible self" is used here to broaden the scope of what constitutes an ethical issue and provides a framework for identifying responsible action. Within this framework, an action is responsible if it takes into consideration ongoing relationships among the stakeholder groups affected. Actions prior to the development of the system along with the potential consequences for the system must be considered. The discursive requirements that provide the context and conditions necessary for implementing the proposed theoretical framework are presented and an illustration of how the responsibility ethic can be implemented in the audit expert system domain is developed. (shrink)

In three essays, examine the idea of an artificial science, the nature of artifacts, our artificial world and the example of history as an artificial science.