This book originated as lectures for a course on political philosophy that Rawls taught regularly at Harvard in the 1980s.

This is the first new scholarly edition this century of one of the greatest works in the history of philosophy, David Hume's Enquiry concerning Human Understanding. It is the third volume of the Clarendon Hume Edition, which will be the definitive edition for the foreseeable future. In this work Hume gives an elegant and accessible presentation of strikingly original and challenging views. The distinguished Hume scholar Tom Beauchamp presents an authoritative text accompanied by an introduction, annotation, a glossary, biographical sketches, (...) bibliographies, and indexes. (shrink)

Firms use algorithms to make important business decisions. To date, the algorithmic accountability literature has elided a fundamentally empirical question important to business ethics and management: Under what circumstances, if any, are algorithmic decision-making systems considered legitimate? The present study begins to answer this question. Using factorial vignette survey methodology, we explore the impact of decision importance, governance, outcomes, and data inputs on perceptions of the legitimacy of algorithmic decisions made by firms. We find that many of the procedural governance (...) mechanisms in practice today, such as notices and impact statements, do not lead to algorithmic decisions being perceived as more legitimate in general, and, consistent with legitimacy theory, that algorithmic decisions with good outcomes are perceived as more legitimate than bad outcomes. Yet, robust governance, such as offering an appeal process, can create a legitimacy dividend for decisions with bad outcomes. However, when arbitrary or morally dubious factors are used to make decisions, most legitimacy dividends are erased. In other words, companies cannot overcome the legitimacy penalty of using arbitrary or morally dubious factors, such as race or the day of the week, with a good outcome or an appeal process for individuals. These findings add new perspectives to both the literature on legitimacy and policy discussions on algorithmic decision-making in firms. (shrink)

"Featuring seventeen original essays on the ethics of Artificial Intelligence by some of the most prominent AI scientists and academic philosophers today, this volume represents the state-of-the-art thinking in this fast-growing field and highlights some of the central themes in AI and morality such as how to build ethics into AI, how to address mass unemployment as a result of automation, how to avoiding designing AI systems that perpetuate existing biases, and how to determine whether an AI is conscious. As (...) AI technologies progress, questions about the ethics of AI, in both the near-future and the long-term, become more pressing than ever. Should a self-driving car prioritize the lives of the passengers over the lives of pedestrians? Should we as a society develop autonomous weapon systems that are capable of identifying and attacking a target without human intervention? What happens when AIs become smarter and more capable than us? Could they have greater than human moral status? Can we prevent superintelligent AIs from harming us or causing our extinction? At a critical time in this fast-moving debate, thirty leading academics and researchers at the forefront of AI technology development come together to explore these existential questions, including Aaron James, Allan Dafoe, Andrea Loreggia, Andrew Critch, Azim Shariff, Carrick Flynn, Cathy O'Neil, Eliezer Yudkowsky, Eric Schwitzgebel, Frances Kamm, Francesca Rossi, Hanna Gunn, Iyad Rahwan, Jessica Taylor, JF Bonnefon, K. Brent Venable, Kate Devlin, Mara Garza, Nicholas Mattei, Nick Bostrom, Patrick LaVictoire, Peter Asaro, Peter Railton, S. Matthew Liao, Shannon Vallor, Stephen Wolfram, Steve Petersen, Stuart Russell, Susan Schneider, Wendell Wallach "--. (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)

Purpose This paper aims to formalize long-term trajectories of human civilization as a scientific and ethical field of study. The long-term trajectory of human civilization can be defined as the path that human civilization takes during the entire future time period in which human civilization could continue to exist. -/- Design/methodology/approach This paper focuses on four types of trajectories: status quo trajectories, in which human civilization persists in a state broadly similar to its current state into the distant future; catastrophe (...) trajectories, in which one or more events cause significant harm to human civilization; technological transformation trajectories, in which radical technological breakthroughs put human civilization on a fundamentally different course; and astronomical trajectories, in which human civilization expands beyond its home planet and into the accessible portions of the cosmos. -/- Findings Status quo trajectories appear unlikely to persist into the distant future, especially in light of long-term astronomical processes. Several catastrophe, technological transformation and astronomical trajectories appear possible. -/- Originality/value Some current actions may be able to affect the long-term trajectory. Whether these actions should be pursued depends on a mix of empirical and ethical factors. For some ethical frameworks, these actions may be especially important to pursue. (shrink)

While the ethics of technology is analyzed across disciplines from science and technology studies, engineering, computer science, critical management studies, and law, less attention is paid to the role that firms and managers play in the design, development, and dissemination of technology across communities and within their firm. Although firms play an important role in the development of technology, and make associated value judgments around its use, it remains open how we should understand the contours of what firms owe society (...) as the rate of technological development accelerates. We focus here on digital technologies: devices that rely on rapidly accelerating digital sensing, storage, and transmission capabilities to intervene in human processes. This symposium focuses on how firms should engage ethical choices in developing and deploying these technologies. In this introduction, we, first, identify themes the symposium articles share and discuss how the set of articles illuminate diverse facets of the intersection of technology and business ethics. Second, we use these themes to explore what business ethics offers to the study of technology and, third, what technology studies offers to the field of business ethics. Each field brings expertise that, together, improves our understanding of the ethical implications of technology. Finally we introduce each of the five papers, suggest future research directions, and interpret their implications for business ethics. (shrink)

Organizations increasingly rely on algorithm-based HR decision-making to monitor their employees. This trend is reinforced by the technology industry claiming that its decision-making tools are efficient and objective, downplaying their potential biases. In our manuscript, we identify an important challenge arising from the efficiency-driven logic of algorithm-based HR decision-making, namely that it may shift the delicate balance between employees’ personal integrity and compliance more in the direction of compliance. We suggest that critical data literacy, ethical awareness, the use of participatory (...) design methods, and private regulatory regimes within civil society can help overcome these challenges. Our paper contributes to literature on workplace monitoring, critical data studies, personal integrity, and literature at the intersection between HR management and corporate responsibility. (shrink)

Biometric technology was once the purview of security, with face recognition and fingerprint scans used for identification and law enforcement. This is no longer the case; biometrics is increasingly used for commercial and civil applications. Due to the widespread diffusion of biometrics, it is important to address the ethical issues inherent to the development and deployment of the technology. This article explores the burgeoning research on biometrics for non-security purposes and the ethical implications for organizations. This will be achieved by (...) reviewing the literature on biometrics and business ethics and drawing from disciplines such as computer ethics to inform a more robust discussion of key themes. Although there are many ethical concerns, privacy is the key issue, with associated themes. These include definitions of privacy, the privacy paradox, informed consent, regulatory frameworks and guidelines, and discrimination. Despite the proliferation of biometric technology, there is little empirical research on applied biometrics and business ethics. As such, there are several avenues for research to improve understanding of the ethical implications of using this technology. (shrink)

Trust is a fundamental aspect of the moral treatment of stakeholders within the organization–stakeholder relationship. Stakeholders trust the organization to return benefit or protections from harm commensurate with their contributions or stakes. However, in many situations, the firm holds greater power than the stakeholder and therefore cannot necessarily be trusted to return the aforementioned duty to the stakeholder. Stakeholders must therefore rely on the trustworthiness of the organization to fulfill obligations in accordance to Phillips’ principle of fairness (Business Ethics Quarterly7(1), (...) 1997, 51–66), particularly where low-power stakeholders may not be fully consenting (Van Buren III, Business Ethics Quarterly11(3), 2001, 481–499). The construct of organizational trustworthiness developed herewith is presented as a possible solution to the problem of unfairness in organization–stakeholder relations. While organizational trustworthiness does not create an ethical obligation where none existed before, stakeholders who lack power will likely be treated fairly when organizational trustworthiness is present. (shrink)

How are we to appraise new technological developments that may bring revolutionary social changes? Currently this is often done by trying to predict or anticipate social consequences and to use these as a basis for moral and regulatory appraisal. Such an approach can, however, not deal with the uncertainties and unknowns that are inherent in social changes induced by technological development. An alternative approach is proposed that conceives of the introduction of new technologies into society as a social experiment. An (...) ethical framework for the acceptability of such experiments is developed based on the bioethical principles for experiments with human subjects: non-maleficence, beneficence, respect for autonomy, and justice. This provides a handle for the moral and regulatory assessment of new technologies and their impact on society. (shrink)

The goal of this paper is to investigate the ethical implications of emerging forms of control that have developed along with the use of ubiquitous information technology. Because it can be exerted at a distance, almost anytime and anywhere, IT-based control has become more subtle, indirect, and almost invisible, with many negative side effects. Yet the issues raised by this new form of control have rarely been interpreted, treated, and framed as ethical issues in business ethics literature. Thus, a more (...) comprehensive inquiry rooted in ethical concerns is necessary to improve understanding of this more subtle form of control, its ethical consequences, and the way ethical considerations can be taken into consideration and acted on by management. This article addresses this goal with a qualitative, exploratory case study of a telecommunications company, in which salespeople have been equipped with ubiquitous technology. The findings specify the characteristics and consequences of ubiquitous IT-based control, thereby inviting a rethinking of the ethical issues related to the privacy, autonomy, human dignity, and health of salespeople. In particular, this article highlights four ethical issues raised by the use of ubiquitous IT at work: the ambivalence of this use of ubiquitous IT at work, the subtlety of the control exerted by ubiquitous IT, the invasiveness of ubiquitous IT, and the self-reinforcement of ubiquitous IT-based control. Such issues are not often taken into account, suggesting that ethical considerations fail to enter into managerial decision making. This study directly raises questions about the intentions, responsibilities, and divisions across different categories of organizational members who participate in such control systems. It also provides useful insights into employees’ perceptions and offers guidance to managers who want to apply a professional code of ethics to the uses of ubiquitous IT. (shrink)

How can we improve business ethics education for the twenty first century? This study evaluates the effectiveness of a visual case exercise in the form of a 3D immersive game given to undergraduate students at two UK Universities as part of a mandatory business ethics module. We propose that due to evolving learning styles, the immersive nature of interactive games lends itself as a vehicle to make the learning of ethics more ‘concrete’ and ‘personal’ and therefore more engaging. To achieve (...) this, we designed and built an immersive 3D simulation game in the style of a visual case. The effectiveness of the game was evaluated using a mixed methods approach measuring recognised and adapted constructs from the technology acceptance model. Results demonstrate that students found the game beneficial to their learning of ethics with the development of knowledge and skills applicable to the real world and that they engaged with the process due to game elements. Findings demonstrate the potential for the development of simulated games to teach ethics at all levels and modes of delivery and the contribution of this type of visual case model as a pedagogic method. (shrink)

The recent rise in ethical consumerism has seen increasing numbers of corporate brands project a socially responsible and ethical image. But does having a corporate brand that is perceived to be ethical have any influence on outcome variables of interest for its product brands? This study analyzes the relationship between perceived ethicality at a corporate level, and brand trust, brand affect and brand loyalty at a product level. A theoretical framework with hypothesized relationships is developed and tested in order to (...) answer the research question. Data have been collected for 45 product categories in the fast moving consumer goods sector using a panel of 4,027 Spanish consumers. The proposed relationships are tested using structural equations modeling. The results suggest there is a positive relationship between perceived ethicality of a brand and both brand trust and brand affect. Brand affect also positively influences brand trust. Further, brand trust and brand affect both show a positive relation with brand loyalty. The managerial and academic implications of the results are discussed. (shrink)

This study proposes a research model based on attachment theory, which examines the role of corporate citizenship in the formation of organizational trust and work engagement. In the model, work engagement is directly influenced by four dimensions of perceived corporate citizenship, including economic, legal, ethical, and discretionary citizenship, while work engagement is also indirectly affected by perceived corporate citizenship through the mediation of organizational trust. Empirical testing using a survey of personnel from 12 large firms confirms most of our hypothesized (...) effects. Finally, theoretical and managerial implications of our findings are discussed. (shrink)

The development of technology raises an array of ethical issues related to work. Many of these ethical issues are old issues surfacing under new guises. Technology has not changed the issues, but technology makes the issues' analysis and application more complex. This paper identifies several new ethical issues raised by technological change: computer crime, an over-reliance on computer controlled systems, bio-technical developments, degradation of quality-of-life at work and new categories of work-related injuries. These issues are discussed in the context of (...) management responsibilities and responses. The paper offers a five-step process for the effective management of these ethical issues: Be aware of the issues, develop an ethical framework, be consistent, communicate clearly, stay alert for future developments. (shrink)

Artificial intelligence is shaping strategy, activities, interactions, and relationships in business and specifically in marketing. The drawback of the substantial opportunities AI systems and applications provide in marketing are ethical controversies. Building on the literature on AI ethics, the authors systematically scrutinize the ethical challenges of deploying AI in marketing from a multi-stakeholder perspective. By revealing interdependencies and tensions between ethical principles, the authors shed light on the applicability of a purely principled, deontological approach to AI ethics in marketing. To (...) reconcile some of these tensions and account for the AI-for-social-good perspective, the authors make suggestions of how AI in marketing can be leveraged to promote societal and environmental well-being. (shrink)

Algorithms increasingly make managerial decisions that people used to make. Perceptions of algorithms, regardless of the algorithms' actual performance, can significantly influence their adoption, yet we do not fully understand how people perceive decisions made by algorithms as compared with decisions made by humans. To explore perceptions of algorithmic management, we conducted an online experiment using four managerial decisions that required either mechanical or human skills. We manipulated the decision-maker, and measured perceived fairness, trust, and emotional response. With the mechanical (...) tasks, algorithmic and human-made decisions were perceived as equally fair and trustworthy and evoked similar emotions; however, human managers' fairness and trustworthiness were attributed to the manager's authority, whereas algorithms' fairness and trustworthiness were attributed to their perceived efficiency and objectivity. Human decisions evoked some positive emotion due to the possibility of social recognition, whereas algorithmic decisions generated a more mixed response – algorithms were seen as helpful tools but also possible tracking mechanisms. With the human tasks, algorithmic decisions were perceived as less fair and trustworthy and evoked more negative emotion than human decisions. Algorithms' perceived lack of intuition and subjective judgment capabilities contributed to the lower fairness and trustworthiness judgments. Positive emotion from human decisions was attributed to social recognition, while negative emotion from algorithmic decisions was attributed to the dehumanizing experience of being evaluated by machines. This work reveals people's lay concepts of algorithmic versus human decisions in a management context and suggests that task characteristics matter in understanding people's experiences with algorithmic technologies. (shrink)

Fueled by ever-growing amounts of (digital) data and advances in artificial intelligence, decision-making in contemporary societies is increasingly delegated to automated processes. Drawing from social science theories and from the emerging body of research about algorithmic appreciation and algorithmic perceptions, the current study explores the extent to which personal characteristics can be linked to perceptions of automated decision-making by AI, and the boundary conditions of these perceptions, namely the extent to which such perceptions differ across media, (public) health, and judicial (...) contexts. Data from a scenario-based survey experiment with a national sample (N = 958) show that people are by and large concerned about risks and have mixed opinions about fairness and usefulness of automated decision-making at a societal level, with general attitudes influenced by individual characteristics. Interestingly, decisions taken automatically by AI were often evaluated on par or even better than human experts for specific decisions. Theoretical and societal implications about these findings are discussed. (shrink)

Using Ajzen's Theory of Planned Behavior and Kohlberg's Theory of Moral Development, we look at individual beliefs (What should I do?), intention (What would I do?), and actual behaviors (What did I do?) and the rationale used in each instance. Of the 12 hypotheses, 10 are strongly supported and 2 are moderately supported. This data set shows that significant differences exist between belief and action, belief and intention, and intention and action; the rationales used to support belief, intention, and action (...) differ from one another. Implications for academic research and managerial practice are discussed and research limitations are examined. (shrink)

Trust is a fundamental aspect of the moral treatment of stakeholders within the organization-stakeholder relationship. Stakeholders trust the organization to return benefit or protections from harm commensurate with their contributions or stakes. However, in many situations, the firm holds greater power than the stakeholder and therefore cannot necessarily be trusted to return the aforementioned duty to the stakeholder. Stakeholders must therefore rely on the trustworthiness of the organization to fulfill obligations in accordance to Phillips' principle of fairness (Business Ethics Quarterly (...) 7(1), 1997, 51-66), particularly where low-power stakeholders may not be fully consenting (Van Buren III, Business Ethics Quarterly 11(3), 2001, 481-499). The construct of organizational trustworthiness developed herewith is presented as a possible solution to the problem of unfairness in organizationstakeholder relations. While organizational trustworthiness does not create an ethical obligation where none existed before, stakeholders who lack power wiU likely be treated fairly when organizational trustworthiness is present. (shrink)

Trust is a fundamental aspect of the moral treatment of stakeholders within the organization–stakeholder relationship. Stakeholders trust the organization to return benefit or protections from harm commensurate with their contributions or stakes. However, in many situations, the firm holds greater power than the stakeholder and therefore cannot necessarily be trusted to return the aforementioned duty to the stakeholder. Stakeholders must therefore rely on the trustworthiness of the organization to fulfill obligations in accordance to Phillips’ principle of fairness (Business Ethics Quarterly (...) 7(1), 1997, 51–66), particularly where low-power stakeholders may not be fully consenting (Van Buren III, Business Ethics Quarterly 11(3), 2001, 481–499). The construct of organizational trustworthiness developed herewith is presented as a possible solution to the problem of unfairness in organization–stakeholder relations. While organizational trustworthiness does not create an ethical obligation where none existed before, stakeholders who lack power will likely be treated fairly when organizational trustworthiness is present. (shrink)

The purpose of this paper is to draw out and make explicit the assumptions made in the treatment of technology within business ethics. Drawing on the work of Freeman (1994, 2000) on the assumed separation between business and ethics, we propose a similar separation exists in the current analysis of technology and ethics. After first identifying and describing the separation thesis assumed in the analysis of technology, we will explore how this assumption manifests itself in the current literature. A different (...) stream of analysis, that of science and technology studies (STS), provides a starting point in understanding the interconnectedness of technology and society. As we will demonstrate, business ethicists are uniquely positioned to analyze the relationship between business, technology, and society. The implications of a more complex and rich definition of lsquotechnologyrsquo ripple through the analysis of business ethics. Finally, we propose a pragmatic approach to understanding technology and explore the implications of such an approach to technology. This new approach captures the broader understanding of technology advocated by those in STS and allows business ethicists to analyze a broader array of dilemmas and decisions. (shrink)

Companies increasingly deploy artificial intelligence technologies in their personnel recruiting and selection process to streamline it, making it faster and more efficient. AI applications can be found in various stages of recruiting, such as writing job ads, screening of applicant resumes, and analyzing video interviews via face recognition software. As these new technologies significantly impact people’s lives and careers but often trigger ethical concerns, the ethicality of these AI applications needs to be comprehensively understood. However, given the novelty of AI (...) applications in recruiting practice, the subject is still an emerging topic in academic literature. To inform and strengthen the foundation for future research, this paper systematically reviews the extant literature on the ethicality of AI-enabled recruiting to date. We identify 51 articles dealing with the topic, which we synthesize by mapping the ethical opportunities, risks, and ambiguities, as well as the proposed ways to mitigate ethical risks in practice. Based on this review, we identify gaps in the extant literature and point out moral questions that call for deeper exploration in future research. (shrink)

Real engines of the artificial intelligence revolution, machine learning models, and algorithms are embedded nowadays in many services and products around us. As a society, we argue it is now necessary to transition into a phronetic paradigm focused on the ethical dilemmas stemming from the conception and application of AIs to define actionable recommendations as well as normative solutions. However, both academic research and society-driven initiatives are still quite far from clearly defining a solid program of study and intervention. In (...) this contribution, we will focus on selected ethical investigations around AI by proposing an incremental model of trust that can be applied to both human-human and human-AI interactions. Starting with a quick overview of the existing accounts of trust, with special attention to Taddeo’s concept of “e-trust,” we will discuss all the components of the proposed model and the reasons to trust in human-AI interactions in an example of relevance for business organizations. We end this contribution with an analysis of the epistemic and pragmatic reasons of trust in human-AI interactions and with a discussion of kinds of normativity in trustworthiness of AIs. (shrink)

Algorithms silently structure our lives. Algorithms can determine whether someone is hired, promoted, offered a loan, or provided housing as well as determine which political ads and news articles consumers see. Yet, the responsibility for algorithms in these important decisions is not clear. This article identifies whether developers have a responsibility for their algorithms later in use, what those firms are responsible for, and the normative grounding for that responsibility. I conceptualize algorithms as value-laden, rather than neutral, in that algorithms (...) create moral consequences, reinforce or undercut ethical principles, and enable or diminish stakeholder rights and dignity. In addition, algorithms are an important actor in ethical decisions and influence the delegation of roles and responsibilities within these decisions. As such, firms should be responsible not only for the value-laden-ness of an algorithm but also for designing who-does-what within the algorithmic decision. As such, firms developing algorithms are accountable for designing how large a role individual will be permitted to take in the subsequent algorithmic decision. Counter to current arguments, I find that if an algorithm is designed to preclude individuals from taking responsibility within a decision, then the designer of the algorithm should be held accountable for the ethical implications of the algorithm in use. (shrink)

Based on the assumption that consumers will reward firms for their support of social programs, many organizations have adopted corporate social responsibility (CSR) practices. Drawing on social identity theory, a model of influence of CSR on loyalty is developed and tested using a sample of real consumers. Results demonstrate that CSR initiatives are linked to stronger loyalty both because the consumer develops a more positive company evaluation, and because one identifies more strongly with the company. Moreover, identity salience is shown (...) to play a crucial role in the influence of CSR initiatives on consumer loyalty when this influence occurs through consumer-company identification. A strong identifier is not necessarily in a constant state of salience, but activating identity salience of a particular consumer social identity (a company) will affect consumer reactions to product stimuli, increasing consumer loyalty. (shrink)

How are we to appraise new technological developments that may bring revolutionary social changes? Currently this is often done by trying to predict or anticipate social consequences and to use these as a basis for moral and regulatory appraisal. Such an approach can, however, not deal with the uncertainties and unknowns that are inherent in social changes induced by technological development. An alternative approach is proposed that conceives of the introduction of new technologies into society as a social experiment. An (...) ethical framework for the acceptability of such experiments is developed based on the bioethical principles for experiments with human subjects: non-maleficence, beneficence, respect for autonomy, and justice. This provides a handle for the moral and regulatory assessment of new technologies and their impact on society. (shrink)

Public trust in business, defined as the degree to which the public—meaning society at large—trusts business in general, is largely understudied. This article suggests four domains of existing trust research from which scholars of public trust in business can draw. The authors then propose four main hypotheses, which aim to predict the determinants of public trust, and test these hypotheses using a factorial vignette methodology. These results will provide scholars with more direction as this article is, to the authors’ knowledge, (...) one of the first empirical studies of public trust. Furthermore, the study will enable those companies interested in increasing public trust to understand better respective determinants of public trust. (shrink)

This study reviewed and analysed the phenomenon of employer branding. We began with a review of recent research in employer branding. Next, drawing the theoretical knowledge from OB, HRM, and marketing, a framework is developed depicting the antecedents of employer branding and its impact on the company performance. For this, primary data were collected administering a questionnaire survey on 347 top-level executives in 209 companies in India, and secondary data were collected on financial performance. The results revealed that realistic job (...) previews, perceived organizational support, equity in reward administration, perceived organizational prestige, organizational trust, leadership of top management, psychological contract obligations, and corporate social responsibility influence employer branding, which in turn impact non-financial and financial performance of companies. Furthermore, leadership of top management is the most potent predictor of employer branding. Greater deviation of the existing state from the ideal state of antecedents adversely affects employer branding. Management can use this framework for developing strategy towards implementation of employer branding. (shrink)