When agents insert technological systems into their decision-making processes, they can obscure moral responsibility for the results. This can give rise to a distinct moral wrong, which we call “agency laundering.” At root, agency laundering involves obfuscating one’s moral responsibility by enlisting a technology or process to take some action and letting it forestall others from demanding an account for bad outcomes that result. We argue that the concept of agency laundering helps in understanding important moral problems in a number (...) of recent cases involving automated, or algorithmic, decision-systems. We apply our conception of agency laundering to a series of examples, including Facebook’s automated advertising suggestions, Uber’s driver interfaces, algorithmic evaluation of K-12 teachers, and risk assessment in criminal sentencing. We distinguish agency laundering from several other critiques of information technology, including the so-called “responsibility gap,” “bias laundering,” and masking. (shrink)

Algorithmic systems and predictive analytics play an increasingly important role in various aspects of modern life. Scholarship on the moral ramifications of such systems is in its early stages, and much of it focuses on bias and harm. This paper argues that in understanding the moral salience of algorithmic systems it is essential to understand the relation between algorithms, autonomy, and agency. We draw on several recent cases in criminal sentencing and K–12 teacher evaluation to outline four key ways in (...) which issues of agency, autonomy, and respect for persons can conflict with algorithmic decision-making. Three of these involve failures to treat individual agents with the respect they deserve. The fourth involves distancing oneself from a morally suspect action by attributing one’s decision to take that action to an algorithm, thereby laundering one’s agency. (shrink)

ABSTRACT: So far in this book, we have examined algorithmic decision systems from three autonomy-based perspectives: in terms of what we owe autonomous agents (chapters 3 and 4), in terms of the conditions required for people to act autonomously (chapters 5 and 6), and in terms of the responsibilities of agents (chapter 7). -/- In this chapter we turn to the ways in which autonomy underwrites democratic governance. Political authority, which is to say the ability of a government to exercise (...) power, may be justifiable or not. Whether it is justified and how it can come to be justified is a question of political legitimacy. Political legitimacy is another way in which autonomy and responsibility are linked. This relationship is the basis of the current chapter, and it is important in understanding the moral salience of algorithmic systems. We will draw the connection as follows. We begin, in section 8.1, by describing two uses of technology: crime predicting technology used to drive policing practices and social media technology used to influence elections (including by Cambridge Analytica and by the Internet Research Agency). In section 8.2 we consider several views of legitimacy and argue for a hybrid version of normative legitimacy based on one recently offered by Fabienne Peter. In section 8.3 we will explain that the connection between political legitimacy and autonomy is that legitimacy is grounded in legitimating processes, which are in turn based on autonomy. Algorithmic systems—among them PredPol and the Cambridge Analytica-Facebook-Internet Research Agency amalgam—can hinder that legitimation process and conflict with democratic legitimacy, as we argue in section 8.4. We will conclude by returning to several cases that serve as through-lines to the book: Loomis, Wagner, and Houston Schools. -/- The link below is to an open-access copy of the chapter. (shrink)

New media (highly interactive digital technology for creating, sharing, and consuming information) affords users a great deal of control over their informational diets. As a result, many users of new media unwittingly encapsulate themselves in epistemic bubbles (epistemic structures, such as highly personalized news feeds, that leave relevant sources of information out (Nguyen forthcoming)). Epistemically paternalistic alterations to new media technologies could be made to pop at least some epistemic bubbles. We examine one such alteration that Facebook has made in (...) an effort to fight fake news and conclude that it is morally permissible. We further argue that many epistemically paternalistic policies can (and should) be a perennial part of the internet information environment. (shrink)

ABSTRACT: One important criticism of algorithmic systems is that they lack transparency. Such systems can be opaque because they are complex, protected by patent or trade secret, or deliberately obscure. In the EU, there is a debate about whether the General Data Protection Regulation (GDPR) contains a “right to explanation,” and if so what such a right entails. Our task in this chapter is to address this informational component of algorithmic systems. We argue that information access is integral for respecting (...) autonomy, and transparency policies should be tailored to advance autonomy. -/- To make this argument we distinguish two facets of agency (i.e., capacity to act). The first is practical agency, or the ability to act effectively according to one’s values. The second is what we call cognitive agency, which is the ability to exercise what Pamela Hieronymi calls “evaluative control” (i.e., the ability to control our affective states, such as beliefs, desires, and attitudes). We argue that respecting autonomy requires providing persons sufficient information to exercise evaluative control and properly interpret the world and one’s place in it. We draw this distinction out by considering algorithmic systems used in background checks, and we apply the view to key cases involving risk assessment in criminal justice decisions and K-12 teacher evaluation. -/- The link below is to an open access version of the chapter. (shrink)

This paper examines the practice of using predictive systems to lengthen the prison sentences of convicted persons when the systems forecast a higher likelihood of re-offense or re-arrest. There has been much critical discussion of technologies used for sentencing, including questions of bias and opacity. However, there hasn’t been a discussion of whether this use of predictive systems makes sense in the first place. We argue that it does not by showing that there is no plausible theory of punishment that (...) supports it. (shrink)

Psychometrics firms such as Cambridge Analytica (CA) and troll factories such as the Internet Research Agency (IRA) have had a significant effect on democratic politics, through narrow targeting of political advertising (CA) and concerted disinformation campaigns on social media (IRA) (U.S. Department of Justice 2019; Select Committee on Intelligence, United States Senate 2019; DiResta et al. 2019). It is natural to think that such activities manipulate individuals and, hence, are wrong. Yet, as some recent cases illustrate, the moral concerns with (...) these activities cannot be reduced simply to the effects they have on individuals. Rather, we will argue, the wrongness of these activities relates to the threats they present to the legitimacy of political orders. This occurs primarily through a mechanism we call “emergent manipulation,” rather than through the sort of manipulation that involves specific individuals. (shrink)

Orthodox decision theory gives no advice to agents who hold two goods to be incommensurate in value because such agents will have incomplete preferences. According to standard treatments, rationality requires complete preferences, so such agents are irrational. Experience shows, however, that incomplete preferences are ubiquitous in ordinary life. In this paper, we aim to do two things: (1) show that there is a good case for revising decision theory so as to allow it to apply non-vacuously to agents with incomplete (...) preferences, and (2) to identify one substantive criterion that any such non-standard decision theory must obey. Our criterion, Competitiveness, is a weaker version of a dominance principle. Despite its modesty, Competitiveness is incompatible with prospectism, a recently developed decision theory for agents with incomplete preferences. We spend the final part of the paper showing why Competitiveness should be retained, and prospectism rejected. (shrink)

In this chapter I will argue against both of these interpretations and will begin to develop an alternate account of imagination in experience. Against those who minimize imagination’s role, I will highlight the distinctive contribution of the imagination to experience. In particular, I will foreground the specific role that the imagination plays in making possible the distinct mental act, intermediate between intuition and experience, that Kant calls “perception [Wahrnehmung]” as the “empirical consciousness [Bewußtsein]” of appearances (cf. B207). Because perception involves (...) images essentially (cf. A120), and because Kant understands experience itself to be a “synthesis of perceptions” (cf. B218), this strongly suggests (against minimalists) that experience, too, will incorporate images into the manner in which it allows us to cognize physical objects. By highlighting the contribution of imagination prior to experience, my own account, therefore, overlaps in part with the readings that seek instead to maximize the role of imagination. Against maximalists, however, I will argue that imagination contributes only in (and after) the transition from intuition to perception, rather than already being at work in the stage of intuition itself. More specifically, I will argue that Kant takes the activity of imagination to make perception possible by acting on already-formed intuitions in order to bring about the consciousness of them, rather than to bring the intuitions about in the first place. I will also argue that this synthesis of intuitions should be kept distinct from the activity of understanding. (shrink)

Prediction-based decisions, which are often made by utilizing the tools of machine learning, influence nearly all facets of modern life. Ethical concerns about this widespread practice have given rise to the field of fair machine learning and a number of fairness measures, mathematically precise definitions of fairness that purport to determine whether a given prediction-based decision system is fair. Following Reuben Binns (2017), we take ‘fairness’ in this context to be a placeholder for a variety of normative egalitarian considerations. We (...) explore a few fairness measures to suss out their egalitarian roots and evaluate them, both as formalizations of egalitarian ideas and as assertions of what fairness demands of predictive systems. We pay special attention to a recent and popular fairness measure, counterfactual fairness, which holds that a prediction about an individual is fair if it is the same in the actual world and any counterfactual world where the individual belongs to a different demographic group (cf. Kusner et al. (2018)). (shrink)

Holm (2022) argues that a class of algorithmic fairness measures, that he refers to as the ‘performance parity criteria’, can be understood as applications of John Broome’s Fairness Principle. We argue that the performance parity criteria cannot be read this way. This is because in the relevant context, the Fairness Principle requires the equalization of actual individuals’ individual-level chances of obtaining some good (such as an accurate prediction from a predictive system), but the performance parity criteria do not guarantee any (...) such thing: the measures merely ensure that certain population-level ratios hold. (shrink)

A number of findings in the field of machine learning have given rise to questions about what it means for automated scoring- or decisionmaking systems to be fair. One center of gravity in this discussion is whether such systems ought to satisfy classification parity (which requires parity in accuracy across groups, defined by protected attributes) or calibration (which requires similar predictions to have similar meanings across groups, defined by protected attributes). Central to this discussion are impossibility results, owed to Kleinberg (...) et al. (2016), Chouldechova (2017), and Corbett-Davies et al. (2017), which show that classification parity and calibration are often incompatible. This paper aims to argue that classification parity, calibration, and a newer, interesting measure called counterfactual fairness are unsatisfactory measures of fairness, offer a general diagnosis of the failure of these measures, and sketch an alternative approach to understanding fairness in machine learning. (shrink)

Art-science, as its name suggests, combines art with science. The idea of combining art and science raises the question whether the outcome, art-scientific works, can succeed against a standard properly belonging to them. In other words: can there be such a thing as an art-scientific work, or do such works merely belong to either art or science while superficially seeming to belong to the other sphere as well? Surprisingly perhaps, these concerns overlap with a chief point of contention as regards (...) Adorno’s mature thinking, in particular his Aesthetic Theory ([1970] 2002): whether or not it is coherent to believe that knowledge can have an aesthetic form. This essay is motivated by the thought that Adorno’s reflections are useful for understanding contemporary art as well, and the burgeoning paradigm of art-science represents a welcome occasion to ask the reverse question: can art become theoretical? The first aim of this essay is, accordingly, to consider how Adorno’s negative dialectic of philosophy and art might illuminate the field of art-science, how its works might express sui generis truths. In turn, an examination of how the aestheticisation theme in Adorno might be appropriated for the business of art-science critique, might tell us something about the relationship between artistic content and philosophical interpretation, beauty and truth, in Adorno. (shrink)

This paper addresses the question of how to educate toward democracy, which has as its defining trait the ability to self-correct. We draw on a study that investigated Deep Reflective Thinking (DRT) as a classroom method for cultivating collective doubt, which is essential for developing students’ capacity for self-correction in a community of inquiry.

Recently, there has been much discussion of ‘fair machine learning’: fairness in data-driven decision-making systems (which are often, though not always, made with assistance from machine learning systems). Notorious impossibility results show that we cannot have everything we want here. Such problems call for careful thinking about the foundations of fair machine learning. Sune Holm has identified one promising way forward, which involves applying John Broome's theory of fairness to the puzzles of fair machine learning. Unfortunately, his application of Broome's (...) theory appears to be fatally flawed. This article attempts to rescue Holm's central insight – namely, that Broome's theory can be useful to the study of fair machine learning – by giving an alternative application of Broome's theory, which involves thinking about fair machine learning in counterfactual (as opposed to merely statistical) terms. (shrink)

Recent progress in artificial intelligence (AI) has drawn attention to the technology’s transformative potential, including what some see as its prospects for causing large-scale harm. We review two influential arguments purporting to show how AI could pose catastrophic risks. The first argument — the Problem of Power-Seeking — claims that, under certain assumptions, advanced AI systems are likely to engage in dangerous power-seeking behavior in pursuit of their goals. We review reasons for thinking that AI systems might seek power, that (...) they might obtain it, that this could lead to catastrophe, and that we might build and deploy such systems anyway. The second argument claims that the development of human-level AI will unlock rapid further progress, culminating in AI systems far more capable than any human — this is the Singularity Hypothesis. Power-seeking behavior on the part of such systems might be particularly dangerous. We discuss a variety of objections to both arguments and conclude by assessing the state of the debate. (shrink)

We argue that students have moral reasons to refrain from using chatbots such as ChatGPT to write certain papers. We begin by showing why many putative reasons to refrain from using chatbots fail to generate compelling arguments against their use in the construction of these papers. Many of these reasons rest on implausible principles, hollowed out conceptions of education, or impoverished accounts of human agency. They also overextend to cases where it is permissible to rely on a machine for something (...) that once required human cognition. We then give our account: you have a moral obligation to respect your own humanity (i.e., your capacity to set and pursue your own ends), and the process of writing a humanities paper is important for the cultivation of your humanity. We conclude by considering objections and offering replies. In the end, we argue that the moral reasons students have to refrain from using chatbots depend crucially on instructors’ ability to make writing assignments worthwhile. This relies on instructors having the right kind of institutional support, which sheds light on implications that this duty has for administrators, legislators, and the general public. (shrink)

I argue that metaphysical views of material objects should be understood as 'packages', rather than individual claims, where the other parts of the package include how the theory addresses 'recalcitant data', and that when the packages meet certain general desiderata - which all of the currently competing views *can* meet - there is nothing in the world that could make one of the theories true as opposed to any of the others.

In recent years, educational institutions have started using the tools of commercial data analytics in higher education. By gathering information about students as they navigate campus information systems, learning analytics “uses analytic techniques to help target instructional, curricular, and support resources” to examine student learning behaviors and change students’ learning environments. As a result, the information educators and educational institutions have at their disposal is no longer demarcated by course content and assessments, and old boundaries between information used for assessment (...) and information about how students live and work are blurring. Our goal in this paper is to provide a systematic discussion of the ways in which privacy and learning analytics conflict and to provide a framework for understanding those conflicts. -/- We argue that there are five crucial issues about student privacy that we must address in order to ensure that whatever the laudable goals and gains of learning analytics, they are commensurate with respecting students’ privacy and associated rights, including (but not limited to) autonomy interests. First, we argue that we must distinguish among different entities with respect to whom students have, or lack, privacy. Second, we argue that we need clear criteria for what information may justifiably be collected in the name of learning analytics. Third, we need to address whether purported consequences of learning analytics (e.g., better learning outcomes) are justified and what the distributions of those consequences are. Fourth, we argue that regardless of how robust the benefits of learning analytics turn out to be, students have important autonomy interests in how information about them is collected. Finally, we argue that it is an open question whether the goods that justify higher education are advanced by learning analytics, or whether collection of information actually runs counter to those goods. (shrink)

In this open access book, Timothy Aylsworth and Clinton Castro draw on the deep well of Kantian ethics to argue that we have moral duties, both to ourselves and to others, to protect our autonomy from the threat posed by the problematic use of technology. The problematic use of technologies like smartphones threatens our autonomy in a variety of ways, and critics have only begun to appreciate the vast scope of this problem. In the last decade, we have seen (...) a flurry of books making “self-help” arguments about how we could live happier, more fulfilling lives if we were less addicted to our phones. But none of these authors see this issue as one involving a moral duty to protect our autonomy. (shrink)

The harms associated with wireless mobile devices (e.g. smartphones) are well documented. They have been linked to anxiety, depression, diminished attention span, sleep disturbance, and decreased relationship satisfaction. Perhaps what is most worrying from a moral perspective, however, is the effect these devices can have on our autonomy. In this article, we argue that there is an obligation to foster and safeguard autonomy in ourselves, and we suggest that wireless mobile devices pose a serious threat to our capacity to fulfill (...) this obligation. We defend the existence of an imperfect duty to be a ‘digital minimalist’. That is, we have a moral obligation to be intentional about how and to what extent we use these devices. The empirical findings already justify prudential reasons in favor of digital minimalism, but the moral duty is distinct from and independent of prudential considerations. (shrink)

Why is aesthetics important to Wittgenstein? What, according to him, is the function of the aesthetic? My answer consists of three parts: first, I argue that Wittgenstein finds himself in an aporia of normative consciousness – that is to say, a problem with regard to our awareness of the world in terms of its relation to a norm. Second, I argue that the function of Wittgenstein’s aesthetic writings is to deal with this aporia. Third, through a comparison with Friedrich Schlegel’s (...) writings on allegory, I try to show that the way in which Wittgenstein resolves the aporia renders him a Romanticist philosopher. The point of an aesthetic interaction, for Wittgenstein, is that it can render clear what cannot be described without running against the walls of our cage: the absolute. Through aesthetic interactions we are able to (indirectly) access a ground for norms by which we experience ourselves as unconditionally bound. (shrink)

The attention economy — the market where consumers’ attention is exchanged for goods and services — poses a variety of threats to individuals’ autonomy, which, at minimum, involves the ability to set and pursue ends for oneself. It has been argued that the threat wireless mobile devices pose to autonomy gives rise to a duty to oneself to be a digital minimalist, one whose interactions with digital technologies are intentional such that they do not conflict with their ends. In this (...) paper, we argue that there is a corresponding duty to others to be an attention ecologist, one who promotes digital minimalism in others. Although the moral reasons for being an attention ecologist are similar to those that motivate the duty to oneself, the arguments diverge in important ways. We explore the application of this duty in various domains where we have special obligations to promote autonomy in virtue of the different roles we play in the lives of others, such as parents and teachers. We also discuss the consequences of our arguments for employers, software developers, and policy makers. (shrink)

Full-bodied materialism is a rarity in British philosophy. In fact, notable British materialists before recent times seem to number only two: Thomas Hobbes in the seventeenth century, and Joseph Priestley in the eighteenth. Their materialisms were attempts to construct a scientific ontology, but there the similarity ends, since they had very different ideas of the nature of science. Hobbes took science to be the study of motion, using Galilean geometric method; Priestley worked with a Newtonian methodology and conceived of matter (...) as spheres of force centred on point particles. (shrink)

In discussions of state surveillance, the values of privacy and security are often set against one another, and people often ask whether privacy is more important than national security.2 I will argue that in one sense privacy is more important than national security. Just what more important means is its own question, though, so I will be more precise. I will argue that national security rationales cannot by themselves justify some kinds of encroachments on individual privacy (including some kinds that (...) the United States has conducted). Specifically, I turn my attention to a recent, well publicized, and recently amended statute (section 215 of the USA Patriot Act3), a surveillance program based on that statute (the National Security Agency’s bulk metadata collection program), and a recent change to that statute that addresses some of the public controversy surrounding the surveillance program (the USA Freedom Act).4 That process (a statute enabling surveillance, a program abiding by that statute, a public controversy, and a change in the law) looks like a paradigm case of law working as it should; but I am not so sure. While the program was plausibly legal, I will argue that it was morally and legally unjustifiable. Specifically, I will argue that the interpretations of section 215 that supported the program violate what Jeremy Waldron calls “legal archetypes,”5 and that changes to the law illustrate one of the central features of legal archetypes and violation of legal archetypes. The paper proceeds as follows: I begin in Part 1 by setting out what I call the “basic argument” in favor of surveillance programs. This is strictly a moral argument about the conditions under which surveillance in the service of national security can be justified. In Part 2, I turn to section 215 and the bulk metadata surveillance program based on that section. I will argue that the program was plausibly legal, though based on an aggressive, envelope-pushing interpretation of the statute. I conclude Part 2 by describing the USA Freedom Act, which amends section 215 in important ways. In Part 3, I change tack. Rather than offering an argument for the conditions under which surveillance is justified (as in Part 1), I use the discussion of the legal interpretations underlying the metadata program to describe a key ambiguity in the basic argument, and to explain a distinct concern in the program. Specifically that it undermines a legal archetype. Moreover, while the USA Freedom Act does not violate legal archetypes, and hence meets a condition for justifiability, it helps illustrate why the bulk metadata program did violate archetypes. (shrink)

Questions of privacy have become particularly salient in recent years due, in part, to information-gathering initiatives precipitated by the 2001 World Trade Center attacks, increasing power of surveillance and computing technologies, and massive data collection about individuals for commercial purposes. While privacy is not new to the philosophical and legal literature, there is much to say about the nature and value of privacy. My focus here is on the nature of informational privacy. I argue that the predominant accounts of privacy (...) are unsatisfactory and offer an alternative: for a person to have informational privacy is for there to be limits on the particularized judgments that others are able to reasonably make about that person. (shrink)

Philosothons are events in which students practise Community of Philosophical Inquiry, usually with awards being made using three criteria: critical thinking, creative thinking and collaboration. This seems to generate a tension. On the one hand it recognises collaboration as a valued trait; on the other hand, the element of competition may seem antithetical to collaboration. There are various possible considerations relevant to this apparent problem. We can pose them as seven questions. One, do the awards really recognise the best performers? (...) Two, do the students and teachers see the awards as fair and reasonable? Three, do the awards recognise cooperation as a valuable contribution? Four, do Philosothons generate enthusiasm and goodwill? Five, might awards motivate students to try harder to do well? Six, if competition is normal in society, does it follow that it is justified as part of the Philosothon? Seven, do awards have a role in bringing the event to a climax? In this article, we will develop and evaluate the arguments suggested by these questions. Our conclusion is that the competitive element in the Philosothon is not antithetical to the collaborative ideal of philosophy. (shrink)

Grounding has become all the rage in recent philosophical work and metaphilosophical discussions. While I agree that the concept of ground marks something useful, I am skeptical about the metaphysical weight many imbue it with, and the picture of ‘worldly layering’ that grounding talk inspires. My skepticism centers around the fact that grounding involves necessitation, combined with reasons for thinking matters of necessity are matters of logical or conceptual (semantic, psychological) relations. I sketch an argument for deflationism about ground based (...) on this sort of deflationism about necessity and essence. I also note that in at least some cases, the considerations supporting modal deflationism directly support deflationism about whatever grounding relations may obtain in these cases. (shrink)

This paper lays out the basic structure of any view involving coincident entities, in the light of the grounding problem. While the account is not novel, I highlight fundamental features, to which attention is not usually properly drawn. With this in place, I argue for a number of further claims: The basic differences between coincident objects are modal differences, and any other differences between them need to be explained in terms of these differences. More specifically, the basic difference is not (...) a difference in sort. A number of recent defenses of coincidence, which share the basic structure I outline, misidentify what, in their accounts, plays the basic role of addressing the grounding problem. More tentatively, I argue Coincident entities differ only in these modal properties, and properties they entail. In particular, they do not differ in properties like ‘being a tree,’ ‘being a statue,’ or aesthetic properties, and finally in light of how the account of coincidence offered addresses the grounding problem, the grounding problem provides no reason to prefer monism to pluralism. (shrink)

Critiques John Martin Fischer's bootstrapping model of divine foreknowledge. Invited contribution to a special journal issue on John Martin Fischer's _Our Fate: Essays on God and Free Will_ (Oxford, 2016).

The Golden Rule (“what you want done [or not done] to yourself, do [or don’t do] to others”) is the most widely accepted summary statement of human morality, and even today it continues to have philosophical supporters. This article argues that the Golden Rule suffers from four faults, the first two related to the ethics of justice and the second two related to the ethics of benevolence. One, it fails to explain how to deal with non-reciprocation. Two, it fails to (...) make clear that my obligations are obligations regardless of how I would wish to be treated by others. Three, it lacks any special value in explaining the right occasions for benevolence. And, four, it has no power to motivate benevolence. (shrink)

A comprehensive introduction to the ways in which meaning is conveyed in language. Alan Cruse covers semantic matters, but also deals with topics that are usually considered to fall under pragmatics. A major aim is to highlight the richness and subtlety of meaning phenomena, rather than to expound any particular theory.

Taurek cases focus a choice between two views of permissible action, Can Save One and Must Save Many . It is argued that Taurek cases do illustrate the rationale for Can Save One , but existing views do not highlight the fact that this is because they are examples of claims grounded on non-comparative justice. To act to save the many solely because they form a group is to discriminate against the one for an irrelevant reason. That is a canonical (...) form of non-comparative injustice. The error lies in taking a contingency of some presentations of some Taurek cases, namely, that they involve distribution, to introduce the claims of comparative as opposed to non-comparative justice. But cases of non-comparative justice can, contingently, also involve distribution. In order to settle which form of justice applies it is necessary to examine the nature of the distribution involved and the nature of “classes” to which individuals can be assigned. (shrink)

I argue that most counterfactuals are false.

Argues that divine timelessness is at best irrelevant and at worst counterproductive for addressing the problem of foreknowledge and future contingents.

In this chapter, we turn our attention to the effects of the attention economy on our ability to act autonomously as a group. We begin by clarifying which sorts of groups we are concerned with, which are structured groups (groups sufficiently organized that it makes sense to attribute agency to the group itself). Drawing on recent work by Purves and Davis (2022), we describe the essential roles of trust (i.e., depending on groups to fulfill their commitments) and trustworthiness (i.e., the (...) property of a group that makes trusting them fitting) in autonomous group action, with particular emphasis on democratic institutions (which we view as group agents) and democratic legitimacy (which depends on trust and trustworthiness). We then explain how engagement maximization promotes polarization, which is detrimental to trust and trustworthiness and, in turn, democratic legitimacy and democratic institutions. We close by considering what groups might do to protect themselves from the threat posed to them by the attention economy. (shrink)

Hume’s Treatise, with its celebrated bundle theory of the self, is a significant contribution to the embryonic Newtonian experimental philosophy of the enlightenment. But the theory is inadequate as it stands, as the appendix to the Treatise makes clear. For this account of the self, apparently, rests on contradictory principles — propositions, fortunately, that can be reconciled, according to Hume. My paper is a critical exploration of Hume’s argument for this intriguing suggestion.

There have long been calls from industry for guidance in implementing strategies for sustainable development. The Circular Economy represents the most recent attempt to conceptualize the integration of economic activity and environmental wellbeing in a sustainable way. This set of ideas has been adopted by China as the basis of their economic development, escalating the concept in minds of western policymakers and NGOs. This paper traces the conceptualisations and origins of the Circular Economy, tracing its meanings, and exploring its antecedents (...) in economics and ecology, and discusses how the Circular Economy has been operationalized in business and policy. The paper finds that while the Circular Economy places emphasis on the redesign of processes and cycling of materials, which may contribute to more sustainable business models, it also encapsulates tensions and limitations. These include an absence of the social dimension inherent in sustainable development that limits its ethical dimensions, and some unintended consequences. This leads us to propose a revised definition of the Circular Economy as “an economic model wherein planning, resourcing, procurement, production and reprocessing are designed and managed, as both process and output, to maximize ecosystem functioning and human well-being”. (shrink)

Hans Reichenbach was a formidable figure in early-twentieth-century philosophy of science. Educated in Germany, he was influential in establishing the so-called Berlin Circle, a companion group to the Vienna Circle founded by his colleague Rudolph Carnap. The movement they founded—usually known as "logical positivism," although it is more precisely known as "scientific philosophy" or "logical empiricism"—was a form of epistemology that privileged scientific over metaphysical truths. Reichenbach, like other young philosophers of the exact sciences of his generation, was deeply impressed (...) by the far-reaching changes in physics brought about by Einstein's special and general theories of relativity. Reichenbach responded to scientific advances by doing fundamental work in space-time theories, in quantum mechanics, in statistical mechanics, and in the development of probability theory—making him the most important philosopher of physics in the first generation of logical empiricism. Forced from his academic position by the Nazi race laws in 1933, Reichenbach wrote _Experience and Prediction_ at the University of Istanbul, where had had fled, expressly to introduce logical positivism to English speakers. In the two decades following World War II, during the explosion of scientific advances in North America, logical positivism was the reigning theory of the philosophy of science and Reichenbach was at the peak of his career. But, inevitably, support for logical positivism began to wane as it became obvious that the justification of scientific theories could not be entirely resolved by relying on strictly formal, technical processes. The growth of the discipline of the history of philosophy of science, which has created an audience of scholars eager for seminal classics in scientific philosophy, and the evidence supporting a historicist paradigm within logical positivism are two important reasons to make _Experience and Prediction_ available once again. "Hans Reichenbach's_ Experience and Prediction_ is one of the most important books in twentieth-century philosophy of science. Its author was, along with Rudolf Carnap, one of the two principal ambassadors to North America of the exciting new European philosophical movement known here under the names 'Logical Positivism' and 'Scientific Philosophy.' In 1938, when the book was published, Reichenbach was an exile from his native Germany, teaching in Istanbul, Turkey, and about to emigrate to the United States to take up a prestigious position at UCLA. He wrote_ Experience and Prediction_ in English as his calling card to his new American colleagues. More than any other single book,_ Experience and Prediction_ set the agenda for the new discipline of the philosophy of science that was to emerge after World War II as, perhaps, the most exciting new area in North American philosophy. Many of the problems still at the focus of discussion were given their classic formulations in this book. Long out of print,_ Experience and Prediction_ appears here in a new edition accompanied by a splendid historical introduction by the noted young philosopher and historian of the philosophy of science, Alan Richardson. A jewel of a book may once again be appreciated in its proper setting." —Don A. Howard, University of Notre Dame. (shrink)

Kant's correspondence with his colleague and zealous disciple, Marcus Herz, was prophetic: only a few will understand the Critique of Pure Reason. Unfortunately, the problems are intractable and the necessary conceptual scheme to deal with the problems requires a "complete change of thinking in this part of human knowledge". But eventually people will "get over the initial numbness" Kant reassures another correspondent, Christian Garve. Fortunately, he suggests, there is a central question at the foundation of his difficult thought - a (...) question that is the key to his ideas. So what is this important question that Kant insists has been "stated clearly enough"? And how clear is it? I explore these issues in my paper. (shrink)

Bayesianism is our leading theory of uncertainty. Epistemology is defined as the theory of knowledge. So “Bayesian Epistemology” may sound like an oxymoron. Bayesianism, after all, studies the properties and dynamics of degrees of belief, understood to be probabilities. Traditional epistemology, on the other hand, places the singularly non-probabilistic notion of knowledge at centre stage, and to the extent that it traffics in belief, that notion does not come in degrees. So how can there be a Bayesian epistemology?

“Big Data” and data analytics affect all of us. Data collection, analysis, and use on a large scale is an important and growing part of commerce, governance, communication, law enforcement, security, finance, medicine, and research. And the theme of this symposium, “Individual and Informational Privacy in the Age of Big Data,” is expansive; we could have long and fruitful discussions about practices, laws, and concerns in any of these domains. But a big part of the audience for this symposium is (...) students and faculty in higher education institutions (HEIs), and the subject of this paper is data analytics in our own backyards. Higher education learning analytics (LA) is something that most of us involved in this symposium are familiar with. Students have encountered LA in their courses, in their interactions with their law school or with their undergraduate institutions, instructors use systems that collect information about their students, and administrators use information to help understand and steer their institutions. More importantly, though, data analytics in higher education is something that those of us participating in the symposium can actually control. Students can put pressure on administrators, and faculty often participate in university governance. Moreover, the systems in place in HEIs are more easily comprehensible to many of us because we work with them on a day-to-day basis. Students use systems as part of their course work, in their residences, in their libraries, and elsewhere. Faculty deploy course management systems (CMS) such as Desire2Learn, Moodle, Blackboard, and Canvas to structure their courses, and administrators use information gleaned from analytics systems to make operational decisions. If we (the participants in the symposium) indeed care about Individual and Informational Privacy in the Age of Big Data, the topic of this paper is a pretty good place to hone our thinking and put into practice our ideas. (shrink)

Attempts to unify Marxist and feminist social critique have been vexed by the fact that ‘patriarchy’ predates the advent of capitalism (its transhistorical status). Feminists within the Marxist, socialist, and materialist traditions have responded to this point by either granting patriarchy a certain autonomy relative to capitalism (the ‘dual/triple systems’ approach), or by suggesting that patriarchal relations have a foundational and necessary status in the history of capitalist development (which we term the ‘origins-subsistence’ approach). This paper offers an alternative account (...) of the relationship between capitalism and the transhistorical status of ‘patriarchy’. In aid of a ‘unitary theory’ of Marxist Feminism, we argue that the transhistorical status of patriarchy is better understood through an application of Marx’s concepts of formal and real subsumption. A modified version of these concepts can illuminate not only capitalist appropriation of antecedent social and economic forms, but also its capacity to produce new forms of gendered exploitation and oppression. (shrink)

There is increasing concern about “surveillance capitalism,” whereby for-profit companies generate value from data, while individuals are unable to resist (Zuboff 2019). Non-profits using data-enabled surveillance receive less attention. Higher education institutions (HEIs) have embraced data analytics, but the wide latitude that private, profit-oriented enterprises have to collect data is inappropriate. HEIs have a fiduciary relationship to students, not a narrowly transactional one (see Jones et al, forthcoming). They are responsible for facets of student life beyond education. In addition to (...) classrooms, learning management systems, and libraries, HEIs manage dormitories, gyms, dining halls, health facilities, career advising, police departments, and student employment. HEIs collect and use student data in all of these domains, ostensibly to understand learner behaviors and contexts, improve learning outcomes, and increase institutional efficiency through “learning analytics” (LA). ID card swipes and Wi-Fi log-ins can track student location, class attendance, use of campus facilities, eating habits, and friend groups. Course management systems capture how students interact with readings, video lectures, and discussion boards. Application materials provide demographic information. These data are used to identify students needing support, predict enrollment demands, and target recruiting efforts. These are laudable aims. However, current LA practices may be inconsistent with HEIs’ fiduciary responsibilities. HEIs often justify LA as advancing student interests, but some projects advance primarily organizational welfare and institutional interests. Moreover, LA advances a narrow conception of student interests while discounting privacy and autonomy. Students are generally unaware of the information collected, do not provide meaningful consent, and express discomfort and resigned acceptance about HEI data practices, especially for non-academic data (see Jones et al. forthcoming). The breadth and depth of student information available, combined with their fiduciary responsibility, create a duty that HEIs exercise substantial restraint and rigorous evaluation in data collection and use. (shrink)

The purpose of this article is to discuss the concept and the content of courses on “social ethics”. I will present a dilemma that arises in the design of such courses. On the one hand, they may present versions of “applied ethics”; that is, courses in which moral theories are applied to moral and social problems. On the other hand, they may present generalised forms of “occupational ethics”, usually professional ethics, with some business ethics added to expand the range of (...) the course. Is there, then, not some middle ground that is distinctively designated by the term “social ethics”? I will argue that there is such a ground. I will describe that ground as the ethics of “social practices”. I will then illustrate how this approach to the teaching of ethics may be carried out in five domains of social practice: professional ethics, commercial ethics, corporate ethics, governmental ethics, and ethics in the voluntary sector. My aim is to show that “social ethics” courses can have a clear rationale and systematic content. (shrink)

Despite widespread agreement that privacy in the context of education is important, it can be difficult to pin down precisely why and to what extent it is important, and it is challenging to determine how privacy is related to other important values. But that task is crucial. Absent a clear sense of what privacy is, it will be difficult to understand the scope of privacy protections in codes of ethics. Moreover, privacy will inevitably conflict with other values, and understanding the (...) values that underwrite privacy protections is crucial for addressing conflicts between privacy and institutional efficiency, advising efficacy, vendor benefits, and student autonomy. -/- My task in this paper is to seek a better understanding of the concept of privacy in institutional research, canvas a number of important moral values underlying privacy generally (including several that are explicit in the AIR Statement), and examine how those moral values should bear upon institutional research by considering several recent cases. (shrink)

There are spells in the Greek and Demotic Magical Papyri which promise divine visitations, assistants, ecstatic states, vessel inquiries, and vivid dreams. They also require powerful psychoactive botanical ingredients. How did these spells work and what were the expectations of somebody purchasing them? Looking at the ingredients of visionary spells and relying on the pharmacology of Dioscorides and Theophrastus, I ascertain how these spells achieved the promised visions and altered states of consciousness for the user. These spells guarantee great spiritual (...) and recreational entertainment to the client who would need an abundance of money to purchase the ingredients. (shrink)

Ancient Greek comedy takes interesting approaches to mythological narrative. This article analyzes one excerpt and eight fragments of ancient Greek Old, Middle, and New Comedy. It attempts to show a comic rationalizing approach to mythology. Poets analyzed include Aristophanes, Cratinus, Anaxilas, Timocles, Antiphanes, Anaxandrides, Philemon, Athenion, and Comic Papyrus. Comparisons are made to known rationalizing approaches as found in the mythographers Palaephatus and Heraclitus the Paradoxographer. Ancient comedy tends to make jokes about the ludicrous aspects of myth. Early Greek myth (...) rationalization and mythography share a similar approach to comedy in that they attempt to rationalize the improbable parts of myth narrative. (shrink)

The semeiotic of Charles Sanders Peirce is irreducibly triadic, positing that a sign mediates between the object that determines it and the interpretant that it determines. He eventually holds that each sign has two objects and three interpretants, standardizing quickly on immediate and dynamical for the objects but experimenting with a variety of names for the interpretants. The two most prominent terminologies are immediate/dynamical/final and emotional/energetic/logical, and scholars have long debated how they are related to each other. This paper seeks (...) to shed new light on the matter by reviewing the numerous manuscript drafts where Peirce develops the latter nomenclature while attempting to introduce his pragmatism to a general audience. It then goes on to examine an additional set of interpretants, intentional/effectual/communicational, and shows that the three different trichotomies can be understood as complementary, rather than redundant or conflicting. (shrink)