The paper offers a solution to the generality problem for a reliabilist epistemology, by developing an “algorithm and parameters” scheme for type-individuating cognitive processes. Algorithms are detailed procedures for mapping inputs to outputs. Parameters are psychological variables that systematically affect processing. The relevant process type for a given token is given by the complete algorithmic characterization of the token, along with the values of all the causally relevant parameters. The typing that results is far removed from the typings of folk (...) psychology, and from much of the epistemology literature. But it is principled and empirically grounded, and shows good prospects for yielding the desired epistemological verdicts. The paper articulates and elaborates the theory, drawing out some of its consequences. Toward the end, the fleshed-out theory is applied to two important case studies: hallucination and cognitive penetration of perception. (shrink)

The “looks” of things are frequently invoked (a) to account for the epistemic status of perceptual beliefs and (b) to distinguish perceptual from inferential beliefs. ‘Looks’ for these purposes is normally understood in terms of a perceptual experience and its phenomenal character. Here I argue that there is also a nonexperiential sense of ‘looks’—one that relates to cognitive architecture, rather than phenomenology—and that this nonexperiential sense can do the work of (a) and (b).

This innovative text is psychologically informed, both in its diagnosis of inferential errors, and in teaching students how to watch out for and work around their natural intellectual blind spots. It also incorporates insights from epistemology and philosophy of science that are indispensable for learning how to evaluate premises. The result is a hands-on primer for real world critical thinking. The authors bring a fresh approach to the traditional challenges of a critical thinking course: effectively explaining the nature of validity, (...) assessing deductive arguments, reconstructing, identifying and diagramming arguments, and causal and probabilistic inference. Additionally, they discuss in detail, important, frequently neglected topics, including testimony, including the evaluation of news and other information sources, the nature and credibility of science, rhetoric, and dialectical argumentation. The treatment of probability uses frequency trees and a frequency approach more generally, and argument reconstruction is taught using argument maps; these methods have been shown to improve students’ reasoning and argument evaluation. (shrink)

Some forms of ethical relativism seem to endorse strict contradictions. Various forms of relativism are distinguished, And their vulnerability to such charges compared. Means of avoiding incoherence are considered. Relativistic justification seems either innocuous but nonrelativistic or else unintelligible. Relativistic analyses of moral judgments are implausible and seem required for no other purpose than to avoid charges of incoherence.

Much of the intuitive appeal of evidentialism results from conflating two importantly different conceptions of evidence. This is most clear in the case of perceptual justification, where experience is able to provide evidence in one sense of the term, although not in the sense that the evidentialist requires. I argue this, in part, by relying on a reading of the Sellarsian dilemma that differs from the version standardly encountered in contemporary epistemology, one that is aimed initially at the epistemology of (...) introspection but which generalizes to theories of perceptual justification as well. (shrink)

Broadly speaking, the contemporary scientific realist is concerned to justify belief in what we might call theoretical truth, which includes truth based on ampliative inference and truth about unobservables. Many, if not most, contemporary realists say scientific realism should be treated as ‘an overarching scientific hypothesis’ (Putnam 1978, p. 18). In its most basic form, the realist hypothesis states that theories enjoying general predictive success are true. This hypothesis becomes a hypothesis to be tested. To justify our belief in the (...) realist hypothesis, realists commonly put forward an argument known as the ‘no-miracles argument’. With respect to the basic hypothesis this argument can be stated as follows: it would be a miracle were our theories as successful as they are, were they not true; the only possible explanation for the general predictive success of our scientific theories is that they are true. (shrink)

There are two primary arguments against scientific realism, one pertaining to underdetermination, the other to the history of science. While these arguments are usually treated as altogether distinct, P. Kyle Stanford's ‘problem of unconceived alternatives’ constitutes one kind of synthesis: I propose that Stanford's argument is best understood as a broad modus ponens underdetermination argument, into which he has inserted a unique variant of the historical pessimistic induction. After articulating three criticisms against Stanford's argument and the evidence that he offers, (...) I contend that, as it stands, Stanford's argument poses no threat to contemporary scientific realism. Nonetheless, upon identifying two useful insights present in Stanford's general strategy, I offer an alternative variant of the modus ponens underdetermination argument, one that, although historically informed by science, requires no inductive premises. I contend that this non-inductive but historically informed variant of the modus ponens clarifies and considerably strengthens the case against scientific realism. (shrink)

To what extent are cognitive capacities, especially perceptual capacities, informationally encapsulated and to what extent are they cognitively penetrable? And why does this matter? Two reasons we care about encapsulation/penetrability are: (a) encapsulation is sometimes held to be definitional of modularity, and (b) penetrability has epistemological implications independent of modularity. I argue that modularity does not require encapsulation; that modularity may have epistemological implications independently of encapsulation; and that the epistemological implications of the cognitive penetrability of perception are messier than (...) is sometimes thought. (shrink)

Nearly everyone agrees that perception gives us justification and knowledge, and a great number of epistemologists endorse a particular two-part view about how this happens. The view is that perceptual beliefs get their justification from perceptual experiences, and that they do so by being based on them. Despite the ubiquity of these two views, I think that neither has very much going for it; on the contrary, there’s good reason not to believe either one of them.

Can beliefs that are not consciously formulated serve as part of an agent's evidence for other beliefs? A common view says no, any belief that is psychologically immediate is also epistemically immediate. I argue that some unconscious beliefs can serve as evidence, but other unconscious beliefs cannot. Person-level beliefs can serve as evidence, but subpersonal beliefs cannot. I try to clarify the nature of the personal/subpersonal distinction and to show how my proposal illuminates various epistemological problems and provides a principled (...) framework for solving other problems. (shrink)

Cognitive penetration of perception is the idea that what we see is influenced by such states as beliefs, expectations, and so on. A perceptual belief that results from cognitive penetration may be less justified than a nonpenetrated one. Inferentialism is a kind of internalist view that tries to account for this by claiming that some experiences are epistemically evaluable, on the basis of why the perceiver has that experience, and the familiar canons of good inference provide the appropriate standards by (...) which experiences are evaluated. I examine recent defenses of inferentialism by Susanna Siegel, Peter Markie, and Matthew McGrath and argue that the prospects for inferentialism are dim. (shrink)

The axiological tenet of scientific realism, “science seeks true theories,” is generally taken to rest on a corollary epistemological tenet, “we can justifiably believe that our successful theories achieve (or approximate) that aim.” While important debates have centered on, and have led to the refinement of, the epistemological tenet, the axiological tenet has suffered from neglect. I offer what I consider to be needed refinements to the axiological postulate. After showing an intimate relation between the refined postulate and ten theoretical (...) desiderata, I argue that the axiological postulate does not depend on its epistemological counterpart; epistemic humility can accompany us in the quest for truth. Upon contrasting my axiological postulate against the two dominant non-realist alternatives and the standard realist postulate, I contend that its explanatory and justificatory virtues render it, among the axiologies considered, the richest account of the scientific enterprise. (shrink)

This article endeavors to identify the strongest versions of the two primary arguments against epistemic scientific realism: the historical argument—generally dubbed “the pessimistic meta-induction”—and the argument from underdetermination. It is shown that, contrary to the literature, both can be understood as historically informed but logically validmodus tollensarguments. After specifying the question relevant to underdetermination and showing why empirical equivalence is unnecessary, two types of competitors to contemporary scientific theories are identified, both of which are informed by science itself. With the (...) content and structure of the two nonrealist arguments clarified, novel relations between them are uncovered, revealing the severity of their collective threat against epistemic realism and its “no-miracles” argument. The final section proposes, however, that the realist’s axiological tenet “science seeks truth” is not blocked. An attempt is made to indicate the promise for a nonepistemic, purely axiological scientific realism—here dubbed “Socratic scientific realism.”. (shrink)

The scientific realism debate has now reached an entirely new level of sophistication. Faced with increasingly focused challenges, epistemic scientific realists have appropriately revised their basic meta-hypothesis that successful scientific theories are approximately true: they have emphasized criteria that render realism far more selective and, so, plausible. As a framework for discussion, I use what I take to be the most influential current variant of selective epistemic realism, deployment realism. Toward the identification of new case studies that challenge this form (...) of realism, I break away from the standard list and look to the history of celestial mechanics, with an emphasis on twentieth century advances. I then articulate two purely deductive arguments that, I argue, properly capture the historical threat to realism. I contend that both the content and form of these novel challenges seriously threaten selective epistemic realism. I conclude on a positive note, however, arguing for selective realism at a higher level. Even in the face of threats to its epistemic tenet, scientific realism need not be rejected outright: concern with belief can be bracketed while nonetheless advocating core realist tenets. I show that, in contrast with epistemic deployment realism, a purely axiological scientific realism can account for key scientific practices made salient in my twentieth century case studies. And embracing the realists favored account of inference, inference to the best explanation, while pointing to a set of the most promising alternative selective realist meta-hypothesis, I show how testing the latter can be immensely valuable to our understanding of science. (shrink)

The authors of a much discussed recent book A Lot of People are Saying: The New Conspiracism and the Assault on Democracy, Russell Muirhead and Nancy L. Rosenblum argue that ‘a new conspiracism’ has emerged recently. Their examples include Donald Trump’s allegations that elections have been rigged, ‘Birther’ accusations about Barack Obama, ‘QAnon’ and ‘Pizzagate’. They characterize these as ‘conspiracism without the theory’. They argue that the new conspiracism is validated by repetition, disregards experts, and is satisfied with the conclusion (...) that allegations are ‘true enough’. Here I argue that there is no new conspiracism. Muirhead and Rosenblum have misconstrued their chief examples of new conspiracism and mischaracterized classic conspiracism. The non-existence of a new conspiracism matters. If those studying contemporary conspiracism suppose that many of the objects of their study are theory-free then they are liable to fail to examine the theories that actually are driving contemporary conspiracism. Also, if they suppose that they are confronting an entirely new phenomenon then they are in danger of failing to learn lessons from the rich history of conspiracy theorizing. (shrink)

Outside of philosophy, ‘intuition’ means something like ‘knowing without knowing how you know’. Intuition in this broad sense is an important epistemological category. I distinguish intuition from perception and perception from perceptual experience, in order to discuss the distinctive psychological and epistemological status of evaluative property attributions. Although it is doubtful that we perceptually experience many evaluative properties and also somewhat unlikely that we perceive many evaluative properties, it is highly plausible that we intuit many instances of evaluative properties as (...) such. The resulting epistemological status of evaluative property attributions is very much like it would be if we literally perceived such properties. (shrink)

Raftopoulos’s most recent book argues, among other things, for the cognitive impenetrability of early vision. Before we can assess any such claims, we need to know what’s meant by “early vision” and by “cognitive penetration”. In this contribution to this book symposium, I explore several different things that one might mean – indeed, that Raftopoulos might mean – by these terms. I argue that whatever criterion we choose for delineating early vision, we need a single criterion, not a mishmash of (...) distinct criteria. And I argue against defining cognitive penetration in partly epistemological terms, although it is fine to offer epistemological considerations in defending some definitions as capturing something of independent interest. Finally, I raise some questions about how we are to understand the “directness” of certain putative cognitive influences on perception and about whether there’s a decent rationale for restricting directness in the way that Raftopoulos apparently does. (shrink)

In this paper I challenge and adjudicate between the two positions that have come to prominence in the scientific realism debate: deployment realism and structural realism. I discuss a set of cases from the history of celestial mechanics, including some of the most important successes in the history of science. To the surprise of the deployment realist, these are novel predictive successes toward which theoretical constituents that are now seen to be patently false were genuinely deployed. Exploring the implications for (...) structural realism, I show that the need to accommodate these cases forces our notion of “structure” toward a dramatic depletion of logical content, threatening to render it explanatorily vacuous: the better structuralism fares against these historical examples, in terms of retention, the worse it fares in content and explanatory strength. I conclude by considering recent restrictions that serve to make “structure” more specific. I show however that these refinements will not suffice: the better structuralism fares in specificity and explanatory strength, the worse it fares against history. In light of these case studies, both deployment realism and structural realism are significantly threatened by the very historical challenge they were introduced to answer. (shrink)

In the nearly 30 years since Premack and Woodruff famously asked, “Does the chimpanzee have a theory of mind?”, the question of exactly how much non‐human primates understand about the mental lives of others has had an unusually dramatic history. As little as ten years ago it appeared that the answer would be a simple one, with early investigations of non‐human primates’ mentalistic abilities yielding a steady stream of negative findings. Indeed, by the mid‐1990s even very cautious researchers were ready (...) to flatly assert that Theory of Mind was a uniquely human capacity. Recently, however, an exciting new theoretical perspective on primate social cognition has arisen, and with it the distinct possibility that our evolutionary relatives may understand far more of the social world than we previously believed. In this paper we review new theory and evidence suggesting that non‐human primates may indeed represent the mental states of others, at least within the domains for which their distinctive social ecology has prepared them. Having asserted that Premack and Woodruff's original question can be answered with a qualified yes, we then consider the new questions that arise in its place, particularly how and why our own Theory of Mind became more domain‐general than that of other primates. (shrink)

Four Challenges to Epistemic Scientific Realism—and the Socratic Alternative.

Stewart Cohen argues that much contemporary epistemological theorizing is hampered by the fact that ‘epistemic justification’ is a term of art and one that is never given any serious explication in a non-tendentious, theory-neutral way. He suggests that epistemologists are therefore better off theorizing in terms of rationality, rather than in terms of ‘epistemic justification’. Against this, I argue that even if the term ‘epistemic justification’ is not broadly known, the concept it picks out is quite familiar, and partly because (...) it’s a term of art, justification talk is a better vehicle for philosophical theorizing. ‘Rational’ is too unclear for our philosophical purposes, and the fact that ‘epistemic justification’ gets fleshed out by appeal to substantive, controversial theses is no obstacle to its playing the needed role in epistemological theorizing. (shrink)

In the context of critically ill children, Baines contended that the best interests test was neither objective nor coherent, and thus of little applicability in making end-of-life decisions. In reply, Bridgeman attempted to refute these claims through legal analysis and contended that the doctrine allowed for responsive, fact-specific, context-sensitive and prudential reasoning. This paper is a response to Bridgeman, and argues that an examination of case law reveals the subjective and value-laden nature of the test. Courts must make decisions in (...) contested cases, but there is no reason to hold that a judge can divine the best interests of a critically ill child better than either parents or medical staff. This paper analyses a number of cases where judicial decisions appear at odds with the child's best interests, and argues that as the outcome depends upon the value system of the decision-maker the test is unhelpful in contested end-of-life cases. (shrink)

Although The Structure of Scientific Revolutions is one of the most influential books of this century, its author, Thomas Kuhn, is notorious for disavowing most of the consequences wrought by his text. Insofar as these consequences have appeared "radical" or "antipositivist," this article argues that they are very misleading, and that Kuhn's complaints are therefore well placed. Indeed, Kuhn unwittingly succeeded where Daniel Bell's The End of Ideology tried and failed, namely, to alleviate the anxieties of alienated academics and defensive (...) policy-makers by teaching them that they could all profit from solving their own paradigmatic puzzles. The influence of tructure is traced from the philosophy of science into the social sciences and science policy. Special attention is paid to the import of the General Education in Science curriculum at Harvard, in which Kuhn taught for most of the period prior to writing tructure. Harvard President James Conant had designed this curriculum in order to keep "pure science" in the good favor of the American public, in whose eyes it suffered after the use of the atomic bomb. While Conant was keen to stress the distinctiveness of science from other social practices, Kuhn's model seemed to provide a blueprint for reconstituting any practice as a science. This enabled potentially antiscientific academics to become scientists themselves, thereby neutralizing any radical challenges to the ends of scientific inquiry. The article concludes by reconstructing some of the inchoate possibilities for radical critique that Kuhn's success preempted, and by making some suggestions for how they may be recovered in the present academic environment. (shrink)

The most promising contemporary form of epistemic scientific realism is based on the following intuition: Belief should be directed, not toward theories as wholes, but toward particular theoretical constituents that are responsible for, or deployed in, key successes. While the debate on deployment realism is quite fresh, a significant degree of confusion has already entered into it. Here I identify five criteria that have sidetracked that debate. Setting these distractions aside, I endeavor to redirect the attention of both realists and (...) non-realists to the fundamental intuition above. In more detail: I show that Stathis Psillos (1999) has offered an explicit criterion for picking out particular constituents, which, contrary to Kyle Stanford’s (2006a) criticisms, neither assumes the truth of theories nor requires hindsight. I contend, however, that, in Psillos’s case studies, Psillos has not successfully applied his explicit criterion. After clarifying the various alternative criteria at work (in those case studies and in a second line of criticism offered by Stanford), I argue that, irrespective of Stanford’s criticisms, the explicit criterion Psillos does offer is not an acceptable one. Nonetheless, the deployment realist’s fundamental intuition withstands all of these challenges. In closing, I point in a direction toward which I’ve elsewhere focused, suggesting that, despite the legitimacy and applicability of the deployment realist’s intuition, the historical threat that prompted it remains. (shrink)

A short discussion piece arguing that the neuropsychological phenomenon of double dissociations is most revealing of underlying cognitive architecture because of the capacities that are spared, more than the capacities that are lost.

As artificial intelligence (AI) thrives and propagates through modern life, a key question to ask is how to include humans in future AI? Despite human involvement at every stage of the production process from conception and design through to implementation, modern AI is still often criticized for its “black box” characteristics. Sometimes, we do not know what really goes on inside or how and why certain conclusions are met. Future AI will face many dilemmas and ethical issues unforeseen by their (...) creators beyond those commonly discussed (e.g., trolley problems and variants of it) and to which solutions cannot be hard-coded and are often still up for debate. Given the sensitivity of such social and ethical dilemmas and the implications of these for human society at large, when and if our AI make the “wrong” choice we need to understand how they got there in order to make corrections and prevent recurrences. This is particularly true in situations where human livelihoods are at stake (e.g., health, well-being, finance, law) or when major individual or household decisions are taken. Doing so requires opening up the “black box” of AI; especially as they act, interact, and adapt in a human world and how they interact with other AI in this world. In this article, we argue for the application of cognitive architectures for ethical AI. In particular, for their potential contributions to AI transparency, explainability, and accountability. We need to understand how our AI get to the solutions they do, and we should seek to do this on a deeper level in terms of the machine-equivalents of motivations, attitudes, values, and so on. The path to future AI is long and winding but it could arrive faster than we think. In order to harness the positive potential outcomes of AI for humans and society (and avoid the negatives), we need to understand AI more fully in the first place and we expect this will simultaneously contribute towards greater understanding of their human counterparts also. (shrink)

I reconstruct my own journey into the history of the human sciences, which I show to have been a process of discovering the metaphysical standing of the human. I begin with Alexandre Koyré’s encounter with Edmund Husserl in the 1930s, which I use to throw light on the legacy of Kant’s ‘anthropological’ understanding of the human, which dominated and limited 19th-century science. As I show, those who broke from Kant’s strictures and set the stage for the 20th-century revolutions in science (...) - from Hegel, to John McTaggart, to Max Weber - typically were pursuing crypto-theological questions about how a finite being can comprehend an infinite universe. This journey is about the ‘common measure’ of being human, which is what links Plato to Kuhn, but has been most consistently taken up by law. I suggest that in seeking this ‘measure of man’, we may discover that to be human is not necessarily to be Homo sapiens, which would suggest a radical reorientation of the history of the human sciences. (shrink)

Response to Horgan, Goldman, and Graham. Part of a book symposium on my _Perception and Basic Beliefs_.

Soofi1 aims to develop an account of dignity in dementia care based on Nussbaum’s capabilities approach. He does this by drawing on the Kitwood and Bredin2 list of well-being indicators, in order to fill out her account of human flourishing to cover aspects such as practical reasoning that appear beyond the reach of those with relatively severe dementia. As Soofi points out, Nussbaum’s claim that such lost abilities can be compensated through guardianship measures is implausible. He asserts in response that (...) his account of dignity is sufficient to address the desiderata he sets out at the start, including especially the problem of exclusionary implications any putative account should address. So far, so good, but an objection Soofi raises for his own account is that it seems unable to cover cases of severe late-stage dementia. His response is, > …that there is insufficient factual evidence to suggest that people at the very advanced stages of dementia lose all capabilities. But for the sake of argument, let’s suppose that this is true. This, however, still does not undermine the conceptual rigour of the modified version of Nussbaum’s account. This is because the list of the dementia-specific capabilities that I …. (shrink)

Systematicity theory—developed and articulated by Paul Hoyningen-Huene—and scientific realism constitute separate encompassing and empirical accounts of the nature of science. Standard scientific realism asserts the axiological thesis that science seeks truth and the epistemological thesis that we can justifiably believe our successful theories at least approximate that aim. By contrast, questions pertaining to truth are left “outside” systematicity theory’s “intended scope” ; the scientific realism debate is “simply not” its “focus”. However, given the continued centrality of that debate in the (...) general philosophy of science literature, and given that scientific realists also endeavor to provide an encompassing empirical account of science, I suggest that these two contemporary accounts have much to offer one another. Overlap for launching a discussion of their relations can be found in Nicholas Rescher’s work. Following through on a hint from Rescher, I embrace a non-epistemic, purely axiological scientific realism—what I have called, Socratic scientific realism. And, bracketing the realist’s epistemological thesis, I put forward the axiological tenet of scientific realism as a needed supplement to systematicity theory. There are two broad components to doing this. First, I seek to make clear that axiological realism and systematicity theory accord with one another. Toward that end, after addressing Hoyningen-Huene’s concerns about axiological analysis, I articulate a refined axiological realist meta-hypothesis: it is, in short, that the end toward which scientific inquiry is directed is an increase in a specific subclass of true claims. I then identify a key feature of scientific inquiry, not generally flagged explicitly, that I take to stand as shared terrain for the two empirical meta-hypotheses. And I argue that this feature can be informatively accounted for by my axiological meta-hypothesis. The second broad component goes beyond mere compatibility between the two positions: I argue that, in want of a systematic account of science, we are prompted to find an end toward which scientific inquiry is directed that is deeper than what systematicity theory offers. Specifically, I argue that my refined axiological realist meta-hypothesis is required to both explain and justify key dimensions of systematicity in science. To the quick question, what is it that the scientific enterprise is systematically doing? My quick answer is that it is systematically seeking to increase a particular subclass of true claims. (shrink)

In some recent work, Ernest Sosa rejects the “perceptual model” of rational intuition, according to which intuitions (beliefs formed by intuition) are justified by standing in the appropriate relation to a nondoxastic intellectual experience (a seeming-true, or the like), in much the way that perceptual beliefs are often held to be justified by an appropriate relation to nondoxastic sense experiential states. By extending some of Sosa’s arguments and adding a few of my own, I argue that Sosa is right to (...) reject the perceptual model of intuition, and that we should reject the “perceptual model” of perception as well. Rational intuition and perception should both receive a virtue theoretic (e.g., reliabilist) account, rather than an evidentialist one. To this end, I explicitly argue against the Grounds Principle, which holds that all justified beliefs must be based on some adequate reason, or ground. (shrink)

First published in 2001. Routledge is an imprint of Taylor & Francis, an informa company.

How should billions of species observations worldwide be shared and made reusable? Many biodiversity scientists assume the ideal solution is to standardize all datasets according to a single, universal classification and aggregate them into a centralized, global repository. This ideal has known practical and theoretical limitations, however, which justifies investigating alternatives. To support better community deliberation and normative evaluation, we develop a novel conceptual framework showing how different organizational models, regulative ideals and heuristic strategies are combined to form shared infrastructures (...) supporting data reuse. The framework is anchored in a general definition of data pooling as an activity of making a taxonomically standardized body of information available for community reuse via digital infrastructure. We describe and illustrate unified and pluralistic ideals for biodiversity data pooling and show how communities may advance toward these ideals using different heuristic strategies. We present evidence for the strengths and limitations of the unification and pluralistic ideals based on systemic relationships of power, responsibility and benefit they establish among stakeholders, and we conclude the pluralistic ideal is better suited for biodiversity data. (shrink)

Nearly thirty years after the first stirrings of the Kuhnian revolution, history and philosophy of science continues to galvanize methodological discussions in all corners of the academy except its own. Evidence for this domestic stagnation appears in Warren Schmaus's thoughtful review of Social Epistemology in which Schmaus takes for granted that history of science is the ultimate court of appeal for disputes between philosophers and sociologists. As against this, this essay argues that such disputes may be better treated by experimental (...) psychology. Humanistic methods typically (though not always) blind the historian to cognitive biases and limitations that make it difficult for philosophers and sociologists to mobilize historical research for settling their differences. It is also observed that the failure of philosophers to incorporate the methods and findings of experiemental psychology is symptomatic of an artificially restrictive understanding of the normative dimension of their enterprise. (shrink)

J s mill's principle of liberty is often thought to say that the only good reason for interfering with a person's conduct is that it is harmful to others. An alternative interpretation is defended: that the only good reason for interfering is to prevent harm to others. Harm-Prevention is the aim, But the latter principle allows that conduct affected not be harmful; interference must be calculated to prevent harm to others, Perhaps indirectly. This accords with mill's official statement of his (...) principle, Accommodates his own otherwise troublesome examples of cooperation and good samaritan requirements, And fits as well with the texts. (shrink)

The effects of the present COVID-19 crisis transcend national and social borders, requiring all of us to adapt to ever-changing, unprecedented circumstances. While in some respects these experiences are shared, the impact of the crisis has been disproportionately harmful for those who were already socially vulnerable: low-income people and workers who are precariously employed, people with disabilities and chronic health issues, unhoused people, people who depend on now-defunct public services, and, as will be the focus of this paper, incarcerated people.In (...) response to the pandemic, state, local, and federal governments have enacted policies that would be politically unthinkable in normal circumstances. The US... (shrink)