Computer Ethics

As artificial intelligence moves ever closer to the goal of producing fully autonomous agents, the question of how to design and implement an artificial moral agent (AMA) becomes increasingly pressing. Robots possessing autonomous capacities to do things that are useful to humans will also have the capacity to do things that are harmful to humans and other sentient beings. Theoretical challenges to developing artiticial moral agents result both from controversies among ethicists
about moral theory itself, and from computational limits to the implementation of such theories. In this paper the ethical disputes are surveyed, the possibility of a `moral Turing Test ’ is considered and the computational difficulties accompanying the
different types of approach are assessed. Human-like performance, which is prone to include immoral actions, may not be acceptable in machines, but moral perfection may be computationally unattainable . The risks posed by autonomous machines ignorantly or deliberately harming people and other sentient beings are great. The development of machines with enough intelligence to assess the effects of their actions on sentient beings and act accordingly may ultimately be the most important task faced by the designers of artificially intelligent automata.

- Result of “the Onlife Initiative,” a one-year project funded by the European Commission to study the deployment of ICTs and its effects on the human condition
- Inspires reflection on the ways in which a hyperconnected world forces the rethinking of the conceptual frameworks on which policies are built
- Draws upon the work of a group of scholars from a wide range of disciplines including, anthropology, cognitive science, computer science, law, philosophy, political science

What is the impact of information and communication technologies (ICTs) on the human condition? In order to address this question, in 2012 the European Commission organized a research project entitled The Onlife Initiative: concept reengineering for rethinking societal concerns in the digital transition. This volume collects the work of the Onlife Initiative. It explores how the development and widespread use of ICTs have a radical impact on the human condition.

ICTs are not mere tools but rather social forces that are increasingly affecting our self-conception (who we are), our mutual interactions (how we socialise); our conception of reality (our metaphysics); and our interactions with reality (our agency). In each case, ICTs have a huge ethical, legal, and political significance, yet one with which we have begun to come to terms only recently.

The impact exercised by ICTs is due to at least four major transformations: the blurring of the distinction between reality and virtuality; the blurring of the distinction between human, machine and nature; the reversal from information scarcity to information abundance; and the shift from the primacy of stand-alone things, properties, and binary relations, to the primacy of interactions, processes and networks.

Such transformations are testing the foundations of our conceptual frameworks. Our current conceptual toolbox is no longer fitted to address new ICT-related challenges. This is not only a problem in itself. It is also a risk, because the lack of a clear understanding of our present time may easily lead to negative projections about the future. The goal of The Manifesto, and of the whole book that contextualises, is therefore that of contributing to the update of our philosophy. It is a constructive goal. The book is meant to be a positive contribution to rethinking the philosophy on which policies are built in a hyperconnected world, so that we may have a better chance of understanding our ICT-related problems and solving them satisfactorily.

The Manifesto launches an open debate on the impacts of ICTs on public spaces, politics and societal expectations toward policymaking in the Digital Agenda for Europe’s remit. More broadly, it helps start a reflection on the way in which a hyperconnected world calls for rethinking the referential frameworks on which policies are built.

One of the enduring concerns of moral philosophy is deciding who or what is deserving of ethical consideration. Much recent attention has been devoted to the "animal question"--consideration of the moral status of nonhuman animals. In this book, David Gunkel takes up the "machine question": whether and to what extent intelligent and autonomous machines of our own making can be considered to have legitimate moral responsibilities and any legitimate claim to moral consideration.

The machine question poses a fundamental challenge to moral thinking, questioning the traditional philosophical conceptualization of technology as a tool or instrument to be used by human agents. Gunkel begins by addressing the question of machine moral agency: whether a machine might be considered a legitimate moral agent that could be held responsible for decisions and actions. He then approaches the machine question from the other side, considering whether a machine might be a moral patient due legitimate moral consideration. Finally, Gunkel considers some recent innovations in moral philosophy and critical theory that complicate the machine question, deconstructing the binary agent–patient opposition itself.

Technological advances may prompt us to wonder if the science fiction of computers and robots whose actions affect their human companions (think of HAL in 2001: A Space Odyssey) could become science fact. Gunkel's argument promises to influence future considerations of ethics, ourselves, and the other entities who inhabit this world.

Multi-user online environments involve millions of participants world-wide. In these online communities participants can use their online personas – avatars – to chat, fight, make friends, have sex, kill monsters and even get married. Unfortunately participants can also use their avatars to stalk, kill, sexually assault, steal from and torture each other. Despite attempts to minimise the likelihood of interpersonal virtual harm, programmers cannot remove all possibility of online deviant behaviour. Participants are often greatly distressed when their avatars are harmed by other participants’ malicious actions, yet there is a tendency in the literature on this topic to dismiss such distress as evidence of too great an involvement in and identification with the online character. In this paper I argue that this dismissal of virtual harm is based on a set of false assumptions about the nature of avatar attachment and its relation to genuine moral harm. I argue that we cannot dismiss avatar attachment as morally insignificant without being forced to also dismiss other, more acceptable, forms of attachment such as attachment to possessions, people and cultural objects and communities. Arguments against according moral significance to virtual harm fail because they do not reflect participants’ and programmers’ experiences and expectations of virtual communities and they have the unintended consequence of failing to grant significance to attachments that we take for granted, morally speaking. Avatar attachment is expressive of identity and self-conception and should therefore be accorded the moral significance we give to real-life attachments that play a similar role.

We propose a formal framework for interpretable machine learning. Combining elements from statistical learning, causal interventionism, and decision theory, we design an idealised explanation game in which players collaborate to find the best explanation(s) for a given algorithmic prediction. Through an iterative procedure of questions and answers, the players establish a three-dimensional Pareto frontier that describes the optimal trade-offs between explanatory accuracy, simplicity, and relevance. Multiple rounds are played at different levels of abstraction, allowing the players to explore overlapping causal patterns of variable granularity and scope. We characterise the conditions under which such a game is almost surely guaranteed to converge on a (conditionally) optimal explanation surface in polynomial time, and highlight obstacles that will tend to prevent the players from advancing beyond certain explanatory thresholds. The game serves a descriptive and a normative function, establishing a conceptual space in which to analyse and compare existing proposals, as well as design new and improved solutions.

This paper put forwards a theory of information ethics based on the concept of an 'information access state'; an information access state is a relation between a person or persons and some information. I argue that this framework is preferable to those theories put forward by Luciano Floridi (2002) and Joroen van den Hoven (1995), because it focuses on the importance of information to persons and it allows for the positive ethical value of both access to information and the denial of access to information. This “information access account” allows us to capture a broader range of practical ethical issues with regard to information than either of these rival theories.

This paper proposes a notion, the ?ambit? of an action, that allows the degree of distribution of an action in a multiagent system to be quantified without regard to its functionality. It demonstrates the use of that notion in the design, analysis and implementation of dynamically-reconfigurable multi-agent systems. It distinguishes between the extensional (or system) view and intensional (or agent-based) view of such a system and shows how, using the notion of ambit, the step-wise derivation paradigm of Formal Methods can be used to derive the latter from the former. In closing it addresses the manner in which these ideas inform studies in the ethics of systems of artificial agents.

This paper presents the first bibliometric mapping analysis of the field of computer and information ethics (C&IE). It provides a map of the relations between 400 key terms in the field. This term map can be used to get an overview of concepts and topics in the field and to identify relations between information and communication technology concepts on the one hand and ethical concepts on the other hand. To produce the term map, a data set of over thousand articles published in leading journals and conference proceedings in the C&IE field was constructed. With the help of various computer algorithms, key terms were identified in the titles and abstracts of the articles and co-occurrence frequencies of these key terms were calculated. Based on the co-occurrence frequencies, the term map was constructed. This was done using a computer program called VOSviewer. The term map provides a visual representation of the C&IE field and, more specifically, of the organization of the field around three main concepts, namely privacy, ethics, and the Internet.

Recently, media and communication researchers have shown an increasing interest in critical data studies and ways to utilize data for social progress. In this commentary, I highlight several useful contributions in the International Panel on Social Progress' (IPSP) report toward identifying key data justice issues, before suggesting extra focus on algorithmic discrimination and implicit bias. Following my assessment of the IPSP's report, I emphasize the importance of two emerging media and communication areas – data ontology and semantic technology – that impact internet users daily yet receive limited attention from critical data researchers. I illustrate two examples to show how data ontologies and semantic technologies impact social processes by engaging in the hierarchization of social relations and entities, a practice that will become more common as the internet changes states towards a " smarter " version of itself.

It might seem impossible to "compute" ideas that humans feel most passionately about and have such difficulty codifying: their ethical beliefs. We've been attempting to make ethics computable for three reasons. First, to avert possible harmful behavior from increasingly autonomous machines, we want to determine whether one can add an ethical dimension to them. Second, we want to advance the study of ethical theory by making it more precise. Finally, we want to solve a particular problem in ethical theory, to develop a decision procedure for an ethical theory that involves multiple, potentially competing, and duties. We've adopted the action-based approach to ethical theory, where the theory tells us how we should act in ethical dilemmas. This approach lends itself to machine implementation by giving the agent either a single principle or several principles to guide its actions, unlike other approaches that don't clearly specify the correct action in an ethical dilemma. The approach to computing ethics that we describe in this article is illustrated by MedEthEx, a system that uses machine learning to resolve a biomedical ethical dilemma. This, we believe, lends support for our approach to computing ethics

The idea of artificial intelligence for social good (henceforth AI4SG) is gaining traction within information societies in general and the AI community in particular. It has the potential to tackle social problems through the development of AI-based solutions. Yet, to date, there is only limited understanding of what makes AI socially good in theory, what counts as AI4SG in practice, and how to reproduce its initial successes in terms of policies. This article addresses this gap by identifying seven ethical factors that are essential for future AI4SG initiatives. The analysis is supported by 27 case examples of AI4SG projects. Some of these factors are almost entirely novel to AI, while the significance of other factors is heightened by the use of AI. From each of these factors, corresponding best practices are formulated which, subject to context and balance, may serve as preliminary guidelines to ensure that well-designed AI is more likely to serve the social good.

From a liberal perspective, pluralism and viewpoint diversity are seen as a necessary condition for a well-functioning democracy. Recently, there have been claims that viewpoint diversity is diminishing in online social networks, putting users in a “bubble”, where they receive political information which they agree with. The contributions from our investigations are fivefold: (1) we introduce different dimensions of the highly complex value viewpoint di- versity using political theory; (2) we provide an overview of the metrics used in the literature of viewpoint diversity analysis; (3) we operationalize new metrics using the theory and provide a framework to analyze viewpoint di- versity in Twitter for different political cultures; (4) we share our results for a case study on minorities we performed for Turkish and Dutch Twitter users; (5) we show that minority users cannot reach a large percentage of Turkish Twitter users. With the last of these contributions, using theory from communication scholars and philosophers, we show how minority access is missing from the typical dimensions of viewpoint diversity studied by computer scientists and the impact it has on viewpoint diversity analysis.

This paper describes a one-day workshop format for introducing ethics into the engineering curriculum prepared at the University of Puerto Rico at Mayagüez (UPRM). It responds to the ethics criteria newly integrated into the accreditation process by the Accreditation Board of Engineering and Technology (ABET). It also employs an ethics across the curriculum (EAC) approach; engineers identify the ethical issues, write cases that dramatize these issues, and then develop exercises making use of these cases that are specially tailored to mainstream engineering classes. The different activities and strategies employed in this workshop are set forth. Specific references are made to the cases and exercises developed as a result of these workshops. The paper ends by summarizing the different assessments made of the workshop by addressing the following questions: how did it contribute to the overall ABET effort at UPRM; could other universities benefit from a similar activity; and how did the participants evaluate the workshop?

In this article, I analyse deterrence theory and argue that its applicability to cyberspace is limited and that these limits are not trivial. They are the consequence of fundamental differences between deterrence theory and the nature of cyber conflicts and cyberspace. The goals of this analysis are to identify the limits of deterrence theory in cyberspace, clear the ground of inadequate approaches to cyber deterrence, and define the conceptual space for a domain-specific theory of cyber deterrence, still to be developed.

A major approach to the ethics of artificial intelligence (AI) is to use social choice, in which the AI is designed to act according to the aggregate views of society. This is found in the AI ethics of " coherent extrapolated volition " and " bottom-up ethics ". This paper shows that the normative basis of AI social choice ethics is weak due to the fact that there is no one single aggregate ethical view of society. Instead, the design of social choice AI faces three sets of decisions: standing, concerning whose ethics views are included; measurement, concerning how their views are identified; and aggregation, concerning how individual views are combined to a single view that will guide AI behavior. These decisions must be made up front in the initial AI design— designers cannot " let the AI figure it out ". Each set of decisions poses difficult ethical dilemmas with major consequences for AI behavior, with some decision options yielding pathological or even catastrophic results. Furthermore, non-social choice ethics face similar issues, such as whether to count future generations or the AI itself. These issues can be more important than the question of whether or not to use social choice ethics. Attention should focus on these issues, not on social choice.

Safety-critical systems require the utmost care in their specification and design to avoid errors in their implementation, using state of the art techniques in a responsible manner. To do otherwise is at best unprofessional and at worst can lead to disastrous consequences. An inappropriate approach could lead to loss of life, and will almost certainly result in financial penalties in the long run, whether because of loss of business or because of the imposition of fines. Legislation and standards impose external pressures, but education and ethical considerations should help provide more self-imposed guidelines for all those involved in the production of safety-critical systems. This paper considers some of the issues involved, with pointers to material providing greater depth in particular areas, especially with respect to the use of formal methods.

Cloud computing can raise ethical issues. In many cases these will depend on particular applications and circumstances. The present paper sets out to identify ethical issues of cloud computing that arise from the fundamental nature of the technology rather than any specific circumstances. The paper describes how these general features were identified, how ethical issues arising from them were collected and it concludes by discussing means of addressing them.

This article seeks to reconsider how traditional notions of ethics—ethics that privilege reason, truth, meaning, and a fixed conception of “the human”—are upended by digital technology, cybernetics, and virtual reality.We argue that prevailing ethical systems are incompatible with the way technology refigures the concepts and practices of identity, meaning, truth, and finally, communication. The article examines how both ethics and technology repurpose the liberal humanist subject even as they render such a subject untenable. Such an impasse reformats the question of ethics by introducing questions of radical alterity, making it possible for new ethical systems to emerge.

The aims of the study were to describe the relationship between all three of Kohlberg's levels of moral development and attitudes towards software piracy as well as to determine if an individual's Knowledge of Intellectual Property Laws moderated this relationship. The research exploring moral development and attitudes towards software piracy is limited in that the results are inconclusive and often do not assess higher levels of moral development. In this study, we explore some of the early antecedent relationships in the theory of reasoned action. An exploratory, non-experimental, cross-sectional survey design was used and a questionnaire containing three scales (attitudes towards software piracy, levels of moral development and Knowledge of Intellectual Property Laws) were obtained from a sample of 402 respondents from three medium-sized South African organisations and from an online survey on a prominent South African online information technology magazine. The results indicated that there is a significant positive relationship between the respondents’ attitudes to software piracy and levels of moral development. Additionally, there are significant relationships between attitudes towards software piracy and each of the levels of moral development. Level 2 moral development predicted the most amount of variance in attitudes towards software piracy. The moderated multiple linear regression revealed that the Knowledge of Intellectual Property Laws did not have a moderating effect on the relationship between attitudes towards software piracy and moral development. These findings provide a more in-depth analysis of the relationship between attitudes and levels of moral development with respect to software piracy.

This experiment examined the affective consequences of sex-stereotyped educational software on students in the sixth, seventh, and eighth grades of a private school. All students worked with the same, two experimental programs either in the school computer center or at single computer stations. The results showed that situational stress was an affective consequence of working with cross-gender educational software if the students were asked to perform in the public context of the computer center. This was not true if the student worked in more privacy. It is concluded that such stress in females while using the more predominant male-stereotyped aggressive video game formats in the public, ego-involving environment of the computer center or classroom may be a possible factor in their avoidance of computers as documented in most recent literature.

In this article I propose an ethical analysis of information warfare, the warfare waged in the cyber domain. The goal is twofold: filling the theoretical vacuum surrounding this phenomenon and providing the conceptual grounding for the definition of new ethical regulations for information warfare. I argue that Just War Theory is a necessary but not sufficient instrument for considering the ethical implications of information warfare and that a suitable ethical analysis of this kind of warfare is developed when Just War Theory is merged with Information Ethics. In the initial part of the article, I describe information warfare and its main features and highlight the problems that arise when Just War Theory is endorsed as a means of addressing ethical problems engendered by this kind of warfare. In the final part, I introduce the main aspects of Information Ethics and define three principles for a just information warfare resulting from the integration of Just War Theory and Information Ethics.

In this paper I critique the ethical implications of automating CCTV surveillance. I consider three modes of CCTV with respect to automation: manual (or non-automated), fully automated, and partially automated. In each of these I examine concerns posed by processing capacity, prejudice towards and profiling of surveilled subjects, and false positives and false negatives. While it might seem as if fully automated surveillance is an improvement over the manual alternative in these areas, I demonstrate that this is not necessarily the case. In preference to the extremes I argue in favour of partial automation in which the system integrates a human CCTV operator with some level of automation. To assess the degree to which such a system should be automated I draw on the further issues of privacy and distance. Here I argue that the privacy of the surveilled subject can benefit from automation, while the distance between the surveilled subject and the CCTV operator introduced by automation can have both positive and negative effects. I conclude that in at least the majority of cases more automation is preferable to less within a partially automated system where this does not impinge on efficacy.

This criterion study examined the impact of the cultural dimensions of individualism and collectivism on actual plagiarism in working business students. Given globalization of business and recent business scandals, furthering our understanding of international ethics remains critical. Business students are the potential employees, managers and leaders of organizations in the future. In this study we focus on one form of unethical conduct by business students, i.e. actual plagiarism, and seek to determine the link between this behavior and cultural values of individualism/collectivism and associated stereotypes of Asian/Caucasian students. Our findings suggest that individualists plagiarize more than collectivists, and that no significant differences in plagiarism exist between Asian and Caucasian students, contrary to popular beliefs. The implications of these findings for scholars and managers are discussed.

The parallel rise of pervasive data collection platforms and computational methods for collecting, analyzing, and drawing inferences from large quantities of user data has advanced social computing research, investigating digital traces to understand mediated behaviors of individuals, groups, and societies. At the same time, methods employed to access these data have raised questions about ethical research practices. This article provides insights into U.S. institutional review boards’ (IRBs) attitudes and practices regulating social computing research. Through descriptive and inferential analysis of survey data from staff at 59 IRBs at research universities, we examine how IRBs evaluate the growing variety of studies using pervasive digital data. Findings unpack the difficulties IRB staff face evaluating increasingly technical research proposals while highlighting the belief in their ability to surmount these difficulties. They also indicate a lack of consensus among IRB staff about what should be reviewed and a willingness to work closely with researchers.

Personal Health Monitoring (PHM) uses electronic devices which monitor and record health-related data outside a hospital, usually within the home. This paper examines the ethical issues raised by PHM. Eight themes describing the ethical implications of PHM are identified through a review of 68 academic articles concerning PHM. The identified themes include privacy, autonomy, obtrusiveness and visibility, stigma and identity, medicalisation, social isolation, delivery of care, and safety and technological need. The issues around each of these are discussed. The system / lifeworld perspective of Habermas is applied to develop an understanding of the role of PHMs as mediators of communication between the institutional and the domestic environment. Furthermore, links are established between the ethical issues to demonstrate that the ethics of PHM involves a complex network of ethical interactions. The paper extends the discussion of the critical effect PHMs have on the patient’s identity and concludes that a holistic understanding of the ethical issues surrounding PHMs will help both researchers and practitioners in developing effective PHM implementations.

Based on a literature review.