This study focuses on how moral aspects of purpose shape collaborative processes. It does so by analyzing the unfolding of 21 relationships between four nonprofits and their funders using a framework based on French pragmatist sociology to help uncover the deeply held, ideological and moral beliefs that underscore assumptions about what the overarching purpose of a collaborative effort is or should be. This study contributes to the literature on single and cross-sectoral collaboration by showing that the way partners handle and (...) reconcile differences about purpose is related to the forms of agreement likely to be achieved. It also suggests that certain forms of agreement are inherently more enduring than others. Taken as a whole, this study provides some plausible explanations as to why so many collaborations fail despite their seeming benefits for all the parties involved. (shrink)

This article considers the issue of opacity as a problem for socially consequential mechanisms of classification and ranking, such as spam filters, credit card fraud detection, search engines, news trends, market segmentation and advertising, insurance or loan qualification, and credit scoring. These mechanisms of classification all frequently rely on computational algorithms, and in many cases on machine learning algorithms to do this work. In this article, I draw a distinction between three forms of opacity: opacity as intentional corporate or state (...) secrecy, opacity as technical illiteracy, and an opacity that arises from the characteristics of machine learning algorithms and the scale required to apply them usefully. The analysis in this article gets inside the algorithms themselves. I cite existing literatures in computer science, known industry practices, and do some testing and manipulation of code as a form of lightweight code audit. I argue that recognizing the distinct forms of opacity that may be coming into play in a given application is a key to determining which of a variety of technical and non-technical solutions could help to prevent harm. (shrink)

This paper argues that the dominance of linear models has led many sociologists to construe the social world in terms of a "general linear reality." This reality assumes (1) that the social world consists of fixed entities with variable attributes, (2) that cause cannot flow from "small" to "large" attributes/events, (3) that causal attributes have only one causal pattern at once, (4) that the sequence of events does not influence their outcome, (5) that the "careers" of entities are largely independent, (...) and (6) that causal attributes are generally independent of each other. The paper discusses examples of these assumptions in empirical work, consider standard and new methods addressing them, and briefly explores alternative models for reality that employ demographic, sequential, and network perspectives. (shrink)

Inspired by recent breakthroughs in predictive modeling, practitioners in both industry and government have turned to machine learning with hopes of operationalizing predictions to drive automated decisions. Unfortunately, many social desiderata concerning consequential decisions, such as justice or fairness, have no natural formulation within a purely predictive framework. In efforts to mitigate these problems, researchers have proposed a variety of metrics for quantifying deviations from various statistical parities that we might expect to observe in a fair world and offered a (...) variety of algorithms in attempts to satisfy subsets of these parities or to trade o the degree to which they are satised against utility. In this paper, we connect this approach to fair machine learning to the literature on ideal and non-ideal methodological approaches in political philosophy. The ideal approach requires positing the principles according to which a just world would operate. In the most straightforward application of ideal theory, one supports a proposed policy by arguing that it closes a discrepancy between the real and the perfectly just world. However, by failing to account for the mechanisms by which our non-ideal world arose, the responsibilities of various decision-makers, and the impacts of proposed policies, naive applications of ideal thinking can lead to misguided interventions. In this paper, we demonstrate a connection between the fair machine learning literature and the ideal approach in political philosophy, and argue that the increasingly apparent shortcomings of proposed fair machine learning algorithms reflect broader troubles faced by the ideal approach. We conclude with a critical discussion of the harms of misguided solutions, a reinterpretation of impossibility results, and directions for future research. (shrink)

The debate about the ethical implications of Artificial Intelligence dates from the 1960s :741–742, 1960; Wiener in Cybernetics: or control and communication in the animal and the machine, MIT Press, New York, 1961). However, in recent years symbolic AI has been complemented and sometimes replaced by Neural Networks and Machine Learning techniques. This has vastly increased its potential utility and impact on society, with the consequence that the ethical debate has gone mainstream. Such a debate has primarily focused on principles—the (...) ‘what’ of AI ethics —rather than on practices, the ‘how.’ Awareness of the potential issues is increasing at a fast rate, but the AI community’s ability to take action to mitigate the associated risks is still at its infancy. Our intention in presenting this research is to contribute to closing the gap between principles and practices by constructing a typology that may help practically-minded developers apply ethics at each stage of the Machine Learning development pipeline, and to signal to researchers where further work is needed. The focus is exclusively on Machine Learning, but it is hoped that the results of this research may be easily applicable to other branches of AI. The article outlines the research method for creating this typology, the initial findings, and provides a summary of future research needs. (shrink)

In recent years, the sharing economy has attracted considerable attention, both scholarly and popular, relating to its capacity to enforce or undermine extant economic conventions. However, the process through which technological developments can effectively have this outcome of altering extant conventions on what is morally acceptable or desirable is still unclear. In this paper, we draw on the work of Boltanski and Thévenot and the notion of agencement to investigate the moral and performative dimension of controversies related to the SE. (...) The research stems from a qualitative case-based study of the controversy following Uber’s implementation in Montréal’s taxi market. We contribute to the literature on the SE through an empirical study of the moral debates entailed in the unfolding in situ of a SE device. We also add to the literature using the ‘Orders of Worth’ framework by showing how a compromise is solidified. We find that beyond discursive strategies, it is the concrete recomposition of laws, conventions, devices, persons, etc. that harmonised different definitions of the common good. Finally, we contribute to the literature on the relationship between technology, ethics, and social change by capturing the specific values that legitimise Uber, and by following their unfolding throughout a controversy. (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)

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)

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)

Bioethics became applied ethics when it was assimilated to moral philosophy. Because deduction is the rationality of moral philosophy, subsuming facts under moral principles to deduce conclusions about what ought to be done became the prescribed reasoning of bioethics, and bioethics became a theory comprised of moral principles. Bioethicists now realize that applied ethics is too abstract and spare to apprehend the specificity, particularity, complexity and contingency of real moral issues. Empirical ethics and contextual ethics are needed to incorporate these (...) features into morality, not just bioethics. The relevant facts and features of problems have to be identified, investigated and framed coherently, and potential resolutions have to be constructed and assessed. Moreover, these tasks are pursued and melded within manifold contexts, for example, families, work and health care systems, as well as societal, economic, legal and political backgrounds and encompassing worldviews. This naturalist orientation and both empirical ethics and contextual ethics require judgment, but how can judgment be rational? Rationality, fortunately, is more expansive than deductive reasoning. Judgment is rational when it emanates from a rational process of deliberation, and a process of deliberation is rational when it uses the resources of non-formal reason: observation, creative construction, formal and informal reasoning methods and systematic critical assessment. Empirical ethics and contextual ethics recognize that finite, fallible human beings live in complex, dynamic, contingent worlds, and they foster creative, critical deliberation and employ non-formal reason to make rational moral judgments. (shrink)

Business Ethics: A European Review, EarlyView.

Modern digital technologies—from web-based services to Artificial Intelligence (AI) solutions—increasingly affect the daily lives of billions of people. Such innovation brings huge opportunities, but also concerns about design, development, and deployment of digital technologies. This article identifies and discusses five clusters of risk in the international debate about digital ethics: ethics shopping; ethics bluewashing; ethics lobbying; ethics dumping; and ethics shirking.

Research on social entrepreneurship has taken an increasing interest in issues pertaining to ideology. In contrast to existing research which tends to couch ‘ideology’ in pejorative terms, this paper conceives ideology as a key mechanism for rendering social entrepreneurship an object with which people can identify. Specifically, drawing on qualitative research of arguably one of the most prolific social entrepreneurship intermediaries, the global Impact Hub network, we investigate how social entrepreneurship is narrated as an ‘ideal subject,’ which signals toward others (...) what it takes to lead a meaningful life. Taking its theoretical cues from the theory of justification advanced by Boltanski, Chiapello and Thévenaut, and from recent affect-based theorizing on ideology, our findings indicate that becoming a social entrepreneur is considered not so much a matter of struggle, hardship, and perseverance but rather of ‘having fun.’ We caution that the promise of enjoyment which pervades portrayals of the social entrepreneur might cultivate a passive attitude of empty ‘pleasure’ which effectively deprives social entrepreneurship of its more radical possibilities. The paper concludes by discussing the broader implications this hedonistic rendition of social entrepreneurship has and suggests a re-politicization of social entrepreneurship through a confronting with what Slavoj Žižek calls the ‘impossible.’. (shrink)

Latour is a world famous and widely published French sociologist who has written with great eloquence and perception about the relationship between people, science, and technology. He is also closely associated with the school of thought known as Actor Network Theory. In this book he sets out for the first time in one place his own ideas about Actor Network Theory and its relevance to management and organization theory.