Several technological developments, such as self-service technologies and artificial intelligence, are disrupting the retailing industry by changing consumption and purchase habits and the overall retail experience. Although AI represents extraordinary opportunities for businesses, companies must avoid the dangers and risks associated with the adoption of such systems. Integrating perspectives from emerging research on AI, morality of machines, and norm activation, we examine how individuals morally behave toward AI agents and self-service machines. Across three studies, we demonstrate that consumers’ moral concerns (...) and behaviors differ when interacting with technologies versus humans. We show that moral intention is less likely to emerge for AI checkout and self-checkout machines compared with human checkout. In addition, moral intention decreases as people consider the machine less humanlike. We further document that the decline in morality is caused by less guilt displayed toward new technologies. The non-human nature of the interaction evokes a decreased feeling of guilt and ultimately reduces moral behavior. These findings offer insights into how technological developments influence consumer behaviors and provide guidance for businesses and retailers in understanding moral intentions related to the different types of interactions in a shopping environment. (shrink)

Accounting firms are reporting the use of Artificial Intelligence in their auditing and advisory functions, citing benefits such as time savings, faster data analysis, increased levels of accuracy, more in-depth insight into business processes, and enhanced client service. AI, an emerging technology that aims to mimic the cognitive skills and judgment of humans, promises competitive advantages to the adopter. As a result, all the Big 4 firms are reporting its use and their plans to continue with this innovation in areas (...) such as audit planning risk assessments, tests of transactions, analytics, and the preparation of audit work-papers, among other uses. As the uses and benefits of AI continue to emerge within the auditing profession, there is a gradual awakening to the fact that unintended consequences may also arise. Thus, we heed to the call of numerous researchers to not only explore the benefits of AI but also investigate the ethical implications of the use of this emerging technology. By combining two futuristic ethical frameworks, we forecast the ethical implications of the use of AI in auditing, given its inherent features, nature, and intended functions. We provide a conceptual analysis of the practical ethical and social issues surrounding AI, using past studies as well as our inferences based on the reported use of the technology by auditing firms. Beyond the exploration of these issues, we also discuss the responsibility for the policy and governance of emerging technology. (shrink)

Within the theoretical framework of the moral intensity model of ethical decision making (Jones, 1991), two studies ascertained the contention that ethicality judgements are contingent upon the perceived intensity of the moral issue. In addition, Study 1 extended the validity of the moral intensity notion to whistle-blowing behaviour; Study 2 addressed the effect of the individual difference variable, need-for-cognition, on differential utilization of intensity dimensions in the ethical decision process. A scenario approach was used in both studies. Results have provided (...) convergent support for the issue-contingency nature of ethical decisions. Study 1 also showed that felt empathy for potential victims predicted the likelihood of whistle-blowing behaviour, and that the perceived overall ethicality of a wrongdoing predicted felt empathy when potential victims are psychologically and physically close. Results of Study 2 further suggested a greater utilization of issue-relevant information by high need-for-cognition individuals in ethical decision making. (shrink)

Business, management, and business ethics literature pay little attention to the topic of AI robots. The broad spectrum of potential ethical issues pertains to using driverless cars, AI robots in care homes, and in the military, such as Lethal Autonomous Weapon Systems. However, there is a scarcity of in-depth theoretical, methodological, or empirical studies that address these ethical issues, for instance, the impact of morality and where accountability resides in AI robots’ use. To address this dearth, this study offers a (...) conceptual framework that interpretively develops the ethical implications of AI robot applications, drawing on descriptive and normative ethical theory. The new framework elaborates on how the locus of morality and moral intensity combine within context-specific AI robot applications, and how this might influence accountability thinking. Our theorization indicates that in situations of escalating AI agency and situational moral intensity, accountability is widely dispersed between actors and institutions. ‘Accountability clusters’ are outlined to illustrate interrelationships between the locus of morality, moral intensity, and accountability and how these invoke different categorical responses: illegal, immoral, permissible, and supererogatory pertaining to using AI robots. These enable discussion of the ethical implications of using AI robots, and associated accountability challenges for a constellation of actors—from designer, individual/organizational users to the normative and regulative approaches of industrial/governmental bodies and intergovernmental regimes. (shrink)

More organizations use AI in the hiring process than ever before, yet the perceived ethicality of such processes seems to be mixed. With such variation in our views of AI in hiring, we need to understand how these perceptions impact the organizations that use it. In two studies, we investigate how ethical perceptions of using AI in hiring are related to perceptions of organizational attractiveness and innovativeness. Our findings indicate that ethical perceptions of using AI in hiring are positively related (...) to perceptions of organizational attractiveness, both directly and indirectly via perceptions of organizational innovativeness, with variations depending on the type of hiring method used. For instance, we find that individuals who consider it ethical for organizations to use AI in ways often considered to be intrusive to privacy, such as analyzing social media content for traits and characteristics, view such organizations as both more innovative and attractive. Our findings trigger a timely discussion about the critical role of ethical perceptions of AI in hiring on organizational attractiveness and innovativeness. (shrink)

This study examines employee perceptions on the effective adoption of artificial intelligence principles in their organizations. 49 interviews were conducted with employees of 24 organizations across 11 countries. Participants worked directly with AI across a range of positions, from junior data scientist to Chief Analytics Officer. The study found that there are eleven components that could impact the effective adoption of AI principles in organizations: communication, management support, training, an ethics office, a reporting mechanism, enforcement, measurement, accompanying technical processes, a (...) sufficient technical infrastructure, organizational structure, and an interdisciplinary approach. The components are discussed in the context of business code adoption theory. The findings offer a first step in understanding potential methods for the effective adoption of AI principles in organizations. (shrink)

PurposeThe information technology related ethical issues will only increase in frequency and complexity with the increasing diffusion of IT in economies and societies. The purpose of this paper is to explore Egyptian students' attitudes towards the information ethics issues of privacy, access, property, and accuracy, and it evaluates the possible impact of a number of personal characteristics on such attitudes.Design/methodology/approachThis research utilized a cross‐sectional sample and data set to test five hypotheses. It adopted an instrument to collect the respondents' background (...) information and assess their attitudes towards the information ethics issues of privacy, property, accuracy, and access. Egyptian business students at Alexandria University were asked to participate in the survey. A total of 305 responses were collected and analyzed.FindingsThe analysis revealed that students are sensitive to the ethicality of information privacy, information accuracy, and information access. However, students are insensitive to the ethicality of property right. In addition, years of education have a main effect on students' attitudes towards property, and gender and age have an interaction effect on students' attitudes towards access.Research limitations/implicationsThe findings of this research are based on a cross‐sectional data set collected from a sample of business students at a public university. Students, however, may make poor surrogates for business or IT professionals. Future similar research designs that employ large samples from Egyptian working professionals and students in other private and public universities are needed to verify the findings of this research.Practical implicationsThe findings suggest that the investigated university as well as the other similar Egyptian universities should consider integrating ethics education into their curricula. Teaching information ethics, especially from an Islamic perspective, is expected to positively influence students' information ethical attitudes. The enforcement of the existing property right protection laws should also curb software piracy in the Egyptian market.Originality/valueIt is vital to expand the ethical research currently being performed in IT in order to help bridge the gap between behavior and IT. The findings of this research extend the understanding of students' attitudes towards the information ethics issues in Egyptian culture and contribute to the growing body of knowledge on global information ethics. (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)