We consider two ways one might use algorithmic randomness to characterize a probabilistic law. The first is a generative chance* law. Such laws involve a nonstandard notion of chance. The second is a probabilistic* constraining law. Such laws impose relative frequency and randomness constraints that every physically possible world must satisfy. While each notion has virtues, we argue that the latter has advantages over the former. It supports a unified governing account of non-Humean laws and provides independently motivated solutions to (...) issues in the Humean best-system account. On both notions, we have a much tighter connection between probabilistic laws and their corresponding sets of possible worlds. Certain histories permitted by traditional probabilistic laws are ruled out as physically impossible. As a result, such laws avoid one variety of empirical underdetermination, but the approach reveals other varieties of underdetermination that are typically overlooked. (shrink)

Humean accounts of chance have a problem with undermining futures: they have to accept that some series of events are physically possible and have a nonzero chance but are inconsistent with the chances being what they are. This contradicts basic platitudes about chances (such as those given by Bigelow et al. (1993) and Schaffer (2007)) and leads to inconsistency between plausible constraints on credences. We show how Humeans can avoid these contradictions by drawing on metaphysically impossible worlds that are, nevertheless, (...) scientifically possible. One major advantage of our approach is that one single move deals with these both problems, whereas previous Humean approaches to undermining (such as that given by Lewis (1994), Thau (1994), and Hall (1994)) have only addressed the connection between credence and chance. Furthermore, our approach connects more closely with the way we employ stochastic scientific theories. And it’s part of a unified solution to other challenges that the Humean faces. (shrink)

This paper is a response to Lewis’ ‘Humean Supervenience Debugged’ . Lewis was in the business of defending Humean Supervenience, and the project seemed successful until the case of chance. Lewis thus originally named chance the ‘big bad bug’ for Humean Supervenience until the aforementioned paper in which he claims victory. Here I argue that he was unsuccessful and that Humean Supervenience remains bugged by chance. I will show how this bug remains due to a misdiagnosis of where the problem (...) lies with regard to undermining. First, I define Humean Supervenience and chance, and state the bug in its original form, then secondly I describe Lewis’ attempt to remove the bug. Thirdly, I explain why the bug persists, despite Lewis’ efforts, and show the real source of the undermining problem to be due to the circularity of Humean Supervenient style accounts of chance. Finally I describe the situation this leaves chance in, and show how the incompatibility of chance and Humean Supervenience is evidence for the nonexistence of chance. I conclude that it is the circularity of the formation of Humean Supervenient laws of chance which continue to bug Humean Supervenience, leaving it untenable and resulting in little chance for chance. (shrink)

For Humeans, many facts—even ones intuitively “about” particular, localized macroscopic parts of the world—turn out to depend on surprisingly global fundamental bases. We investigate some counterintuitive consequences of this picture. Many counterfactuals whose antecedents describe intuitively localized, non-actual states of affairs nevertheless end up involving wide-ranging implications for the global, embedding Humean mosaic. The case of self-undermining chances is a familiar example of this. We examine that example in detail and argue that popular existing strategies such as “holding the laws (...) fixed as laws” or “holding the laws fixed as true” are of no help. Interestingly, we show how a new proposal that draws on the resources of the Mentaculus can yield the right results—but only on the assumption that the Humean can make cross-world identifications. We go on to argue that the Humean cannot make such identifications. We conclude that the root of this trouble is deeper, and its reach broader, than the familiar cases suggest. We think it is very much an open question whether the Humean has sufficient resources to properly conceptualize macroscopic objects or to analyze these “local” counterfactuals. (shrink)

Shills are people who endorse products and companies for pay, while pretending that their endorsements are ingenuous. Here we argue that there is something objectionable about shilling that is not reducible to its bad consequences, the lack of epistemic conscientiousness it often relies upon, or to the shill’s insincerity. Indeed, we take it as a premise of our inquiry that shilling can sometimes be sincere, and that its wrongfulness is not mitigated by the shill’s sincerity, in cases where the shill (...) is sincere. Our proposal is that the shill’s defining characteristic is their knowingly engaging in a kind of speech that obscures a certain aspect of its social status – most commonly, by pretending to speak on their own personal behalf, while in fact speaking as an employee – and that this sort of behaviour is objectionable irrespective of any other features of the shill’s conduct. This sort of obfuscation undermines a socially beneficial communicative custom, in which we conscientiously mark the distinction between personal speech and speech-for-hire. (shrink)

Some modern cosmological models predict the appearance of Boltzmann Brains: observers who randomly fluctuate out of a thermal bath rather than naturally evolving from a low-entropy Big Bang. A theory in which most observers are of the Boltzmann Brain type is generally thought to be unacceptable, although opinions differ. I argue that such theories are indeed unacceptable: the real problem is with fluctuations into observers who are locally identical to ordinary observers, and their existence cannot be swept under the rug (...) by a choice of probability distributions over observers. The issue is not that the existence of such observers is ruled out by data, but that the theories that predict them are cognitively unstable: they cannot simultaneously be true and justifiably believed. (shrink)

The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI re-uses ontologies that provide a representation of biomedical knowledge from the Open Biological and Biomedical Ontologies (OBO) project and adds the ability to describe how this knowledge was derived. We here describe the state of OBI and several applications that are using it, such as adding semantic expressivity to (...) existing databases, building data entry forms, and enabling interoperability between knowledge resources. OBI covers all phases of the investigation process, such as planning, execution and reporting. It represents information and material entities that participate in these processes, as well as roles and functions. Prior to OBI, it was not possible to use a single internally consistent resource that could be applied to multiple types of experiments for these applications. OBI has made this possible by creating terms for entities involved in biological and medical investigations and by importing parts of other biomedical ontologies such as GO, Chemical Entities of Biological Interest (ChEBI) and Phenotype Attribute and Trait Ontology (PATO) without altering their meaning. OBI is being used in a wide range of projects covering genomics, multi-omics, immunology, and catalogs of services. OBI has also spawned other ontologies (Information Artifact Ontology) and methods for importing parts of ontologies (Minimum information to reference an external ontology term (MIREOT)). The OBI project is an open cross-disciplinary collaborative effort, encompassing multiple research communities from around the globe. To date, OBI has created 2366 classes and 40 relations along with textual and formal definitions. The OBI Consortium maintains a web resource providing details on the people, policies, and issues being addressed in association with OBI. (shrink)

This work is on Hobbesian Conception of Human Nature: Moral Implications for Nigeria Society. It will be absurd indeed to discuss about Ethics and Society without talking about the concept of human nature. In other words, there is no philosophy of life without a theory of human nature. Human nature can be defined as the psychological and social qualities that characterized humankind, especially in contrast with other living things. The problem here is that Hobbes believes that the state of nature (...) was the worst case scenario. Hobbes was ready to sacrifice all of his freedom to avoid the state of nature. Applying this position to the Nigerian society, it is glaring that this view gives justification to authoritarian government and tyranny. This work therefore intends to expose Hobbes concept of human nature and then apply his view to moral issues in Nigeria society. Hobbes view of human nature has a much laudable appeal which can make available a structure for modern day politics in Nigeria. Notwithstanding the issues inherent in Hobbes concept of human nature it could be used as a yardstick in analyzing some perennial, moral and political issues in Nigeria society. (shrink)

This work is on Paul Taylors Biocentric Ethics: A Survey of Contemporary Environmental Conflicts. When we accept the concept of biocentrism there is bound to exist conflicts between interests and cultural values of humans and the well-being of nonhuman living beings. These conflicts as we shall see need fair resolution principles because they are equal competing claims. Thus, the concept of equality here deals with the fact already established. This work exposes that both humans and nonhuman living beings of the (...) wild have inherent worth of their own, which deserve respect and consideration. In other words, they both have right‘ to pursue and attain their own ends without hindrance of any sort. (shrink)

The issue of poor waste management has become a very important issue of concern to various scholars in environmental studies. Effective waste management in Port Harcourt has been seen as one of the greatest issue being faced in Rivers State. It cannot be over emphasized that the generation of waste and its adverse effect has increased over time. This paper critically looks into the ethical implications and effects of poor waste management in Rivers state with focus on Port Harcourt. Hence, (...) this paper was able to establish that the failure of the government to enact environmental laws and punishing those found wanting, and also providing the necessary working tools for waste managers have all resulted to poor waste management. Thus, the effects of all these cannot be over emphasized. This paper makes some significant recommendations for government, waste managers and the public in general on the necessity to adopt certain ethical principles and also to sensitize the populace on proper waste management. The paper in conclusion exposes some ethical implications and effects of poor waste management in Port Harcourt and how it has resulted to the city of Port Harcourt called the Garden City now being seen as a Tattered City. (shrink)

This study investigated Boko Haram and terrorist activities in Nigeria while looking at the ethical implications and responses of the Christians. The study was guided by two objectives which are to; analyse whether the acts of terror carried out by Boko Haram are ethical and examine the responses of the Christians with respect to Boko Haram acts of terror. However, the methods of exposition and critical analysis was used and content analysis was used to analyse data collected. Data was collected (...) from secondary sources like textbooks, journal articles, interviews, institutional materials and internet sources. The study also looked at concept of terrorism and a brief history of Boko Haram. The findings of the study showed that since Boko Haram acts of terrorism is simply a display of violence to terrify the populace and the government, it can be said that their actions and activities which include violence is unacceptable and could be termed wrong taking cognizance of the consequentialist view which opines that the morality of an action depends on its results. The ethics of care which is seen as a context-based approach to preserve relationship, negates Boko Haram acts of terror which apparently has a considerable effect on a number of relationships. The findings further showed that the Christians responded by rejecting to integrate with Muslims and also encouraged Christians to move to areas where there are major Christian settlements while others had to fall back to the natural tendency of self-preservation. (shrink)

The study investigated ethical considerations and science diplomacy on coronavirus disease (Covid-19) pandemic in Nigeria. The outbreak of the coronavirus disease (Covid-19) in Nigeria has spread quickly to about 34 states out of the 36 states and over 5000 persons have tested positive as at the time of this research after the first index case of an Italian and there is a projection that in coming days and weeks the number of infected persons and states will increase. The study was (...) guided by two objectives and also adopted the normative ethical theory. The study employed the methods of exposition and critical analysis to explain better the ethical issues and science diplomacy of Covid-19 pandemic in Nigeria. Data was sourced from secondary sources such as journal articles, newspaper, books and internet sources. The findings of the study showed that the citizens have some obligations that will aid the containment of the virus and as well as the government. The study also found out that science diplomacy was used, which has led to Nigeria collaborating with China to get medical aids to effectively fight the pandemic. Consequently, the study recommended amongst others that the Ministry of Health and the Nigeria Center for Disease Control (NCDC) should adopt and enforce the World Health Organization (WHO) Guidance for Managing Ethical Issues in Infectious Disease Outbreak as a working document in crisis like the Covid-19 pandemic that has ravaged Nigeria and the government should involve more in science diplomacy with other countries so that it will help in the fight against Covid-19 and other diseases that may occur in the future. (shrink)

Gender-Based violence (GBV) is a disturbing phenomenon prevalent in all regions of the world. GBV is seen as any harmful act that is carried out against a person’s consent and that it is as a result of socially ascribed (gender) dissimilarities between males and females. The study exposes that the fight against GBV have been unsuccessful because of several factors which includes the acceptance of such actions by some traditions and cultures therefore bringing to the fore conventional ethical relativism, in (...) other words, cultural relativism. The study concluded that the rate of GBV in Nigeria is soaring high and the neglect to tackle it has made it turnout to be a shadow pandemic ravaging Nigeria. Consequently, the study amongst others recommends that the Nigerian National Assembly should enact new laws against GBV because its eradication can only be possible using the law as an instrument of social change. (shrink)

This study examines the xenophobic attacks on Nigerians in South Africa, its ethical implications and responses of the Nigerian government. The study was guided by two objectives while it adopted the normative theory by Plato and Aristotle. The study looked at conceptual clarification like the concept of xenophobia. The study adopted ex-post research design while data was sourced through secondary source such as textbooks, journal articles, newspapers, magazines and internet while the data generated was analyzed through content analysis. The findings (...) of the study showed that there are Nigerians that are employees of labor in South Africa as well as Nigerians that are lecturers in South Africa universities that have contributed to their educational sector and there are also Nigerian students in their schools who pay fees as foreign students and these have contributed positively to South Africa economy and thus the reasons for these xenophobic attacks are not in accordance to the universalization of the norms of any society. The study also found out that the Nigerian government has responded in several ways which include, summoning of the South Africa ambassador to express her displeasure over the attacks on Nigerians, in the same vain Nigerians have used social media to call on the Nigerian government to boycott South African companies such as MTN, DSTV and Shoprite and also the immediate evacuation or repatriation of Nigerians in South Africa. Based on the findings the study recommended among others that the Nigerian government should let the South African government to know that the actions that are carried out by South Africans that has led to deaths of Nigerians no matter the actions that must had led to that does not fall within the moral principles of any society and the government of Nigeria should establish a bilateral commission with South Africa that will be meeting regularly to ensure protection of the two countries’ national interests. (shrink)

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)

Philosophers have gotten something of a bad reputation for widespread—and perhaps closed-minded—atheism. The reality, however, is quite otherwise. For most of their history, philosophy and religion have been intertwined in one way or another, and the vast majority of philosophers have had some kind of religious beliefs, oftentimes central to their philosophy, whether or not they have made the links explicit. This is not without good reason. Though their methods (sometimes) differ, philosophy and religion have always shared a number of (...) similar goals in terms of seeking answers to life’s “Big Questions,” questions about the ultimate nature of reality, our purpose or place in the world, the meaning of life and how we should live it. This chapter addresses philosophy's reputation of closed-mindedness towards the end, but first it addresses the historical point. (shrink)

The charge of hypocrisy is a peculiar kind of accusation: it is damning and ubiquitous; it is used to deny the hypocrite standing to speak; and it is levelled against a great variety of conduct. Much of the philosophical literature on hypocrisy is aimed at explaining why hypocrisy is wrongful and worthy of censure. We focus instead on the use of the accusation of hypocrisy and argue for a revisionary claim. People think that hypocrisy in politics is bad and that (...) calling it out is good. Our novel claim is that even if hypocrisy in politics is bad (and that is a big if), calling it out is worse. We give a feminist case as to why accusations of hypocrisy are problematic. We also go further and claim that hypocrisy is a ubiquitous and perhaps even a necessary and beneficial part of political debate in liberal democracies. We also consider and reject candour as a possible alternative solution to hypocrisy in public debate. We argue that requiring people to be candid is not necessarily a good solution because it will often require one to divulge what is private when there are good reasons not to do so. (shrink)

This paper has three aims. First, I’ll argue that there’s no good reason to accept any kind of ‘easy knowledge’ objection to externalist foundationalism. It might be a little surprising that we can come to know that our perception is accurate by using our perception, but any attempt to argue this is impossible seems to rest on either false premises or fallacious reasoning. Second, there is something defective about using our perception to test whether our perception is working. What this (...) reveals is that there are things we aim for in testing other than knowing that the device being tested is working. I’ll suggest that testing aims for sensitive knowledge that the device is working. Testing a device, such as our perceptual system, by using its own outputs may deliver knowledge, but it can’t deliver sensitive knowledge. So it’s a bad way to test the system. The big conclusion here is that sensitivity is an important epistemic virtue, although it is not necessary for knowledge. Third, I’ll argue that the idea that sensitivity is an epistemic virtue can provide a solution to a tricky puzzle about inductive evidence. This provides another reason for thinking that the conclusion of section two is correct: not all epistemic virtues are to do with knowledge. (shrink)

(English:) The article introduces conspiracy beliefs and considers the most relevant literature in the field. The main purpose of the article is phenomenological: it proposes to understand conspiracy beliefs within the broader genre of what I call general conceptual beliefs (or simply, general beliefs), whose central features are big issues, logical-conceptual fallacies, pseudorationality, bad faith, and monological bias. I claim that general beliefs are functional to a motivationally biased and inherently dishonest communication (the same one that conspiracy narratives share with (...) political extremism, religious fundamenta-lism and other eccentric belief systems), which is essentially conceived for practical and self-representational purposes (not for knowledge). The article argues against the mere stigmatization of this phenomenon and rather seeks to understand it by looking at a broader and murkier region of human experience, for which we are all responsible in some way. -/- (Castellano:) El artículo introduce al análisis de las creencias conspirativas y considera la literatura más relevante sobre el tema. El objetivo del escrito es fenomenológico: entender las creencias conspirativas colocándolas en un género más amplio, las creencias conceptuales generales (o, simple-mente, creencias generales), cuyas carac-terísticas esenciales son: grandes temas, falacias lógico-conceptuales, pseudoracionalidad, mala fe y tendencia monológi-ca. Las creencias generales son funcionales a una comunicación sesgada y tendencialmente deshonesta, la misma que las his-torias conspirativas comparten con ex-tremismos políticos, fundamentalismos religiosos y otros sistemas de creencias excéntricos, cuya finalidad es eminentemente práctica y autorepresentativa (no teorética). El artículo se opone a la mera estigmatización del fenómeno y trata más bien de comprenderlo, observando una región más amplia y turbia de la experiencia humana, de la que todos somos responsables de alguna manera. (shrink)

Over the years I’ve written many papers defending an idiosyncratic version of interest-relative epistemology. This book collects and updates the views I’ve expressed over those papers. -/- Interest-relative epistemologies all start in roughly the same way. A big part of what makes knowledge important is that it rationalises action. But for almost anything we purportedly know, there is some action that it wouldn’t rationalise. I know what I had for breakfast, but I wouldn’t take a bet at billion to one (...) odds about it. Knowledge has practical limits. The first idiosyncratic feature of my version of interest-relative epistemology is how those limits are identified. Other interest-relative philosophers typically say that the limits have to do with stakes; in high stakes situations knowledge goes away. That’s no part of my view. I think knowledge goes away in long odds situations. High stakes situations are almost always are long odds situations, for reasons to do with the declining marginal utility of money. But the converse isn’t true. On my view, knowledge often goes away in cases where it is trivial to check before action. This idea, that interests matter in long odds cases, and not just in high stakes cases, is the main constant in what I’ve written on interest-relativity over the years. -/- But there are three other respects in which the view I’m going to set out and defend in this book is very different from the view I set out in older papers. -/- I used to identify the practical limits on knowledge with cases where relying on the purported knowledge would get the wrong answer. I focused, that is, on the outputs of inquiry. Knowledge goes away if relying on it would lead one to make a mistake. I now think I was looking at the wrong end of inquiry. Knowledge goes away if the thinker starts conducting an inquiry where the purported knowledge is an inappropriate starting point, and inappropriate for the special reason that it might be false. Now one way we can tell that something is a bad starting point is that starting there will mean we end up at the wrong place. But it’s not the only way. Sometimes a bad starting point will lead to the right conclusion for the wrong reasons. As the Nyāya philosophers argued, rational inquiry starts with knowledge. If it would be irrational to start this inquiry with a particular belief, that belief isn’t knowledge. -/- Not all inquiries are practical inquiries, but many are. And practical inquiries are usually going to be at the center of attention in this book. But what is someone trying to figure out when they conduct a practical inquiry? I used to think that they were trying to figure out which option maximised expected utility, and to a first approximation identified knowledge with those things one could conditionalise on without changing the option that maximised expected utility. As noted in the previous paragraph, I no longer think that we can identify knowledge with what doesn’t change our verdicts. But more importantly, I no longer think that expected utility maximisation is as central to practical inquiry as I once did. There are some theoretical reasons from game theory that raise some doubts about expected utility maximisation. Weak dominance reasoning is part of our theory of rational choice, and can’t be modelled as expected utility maximisation. Perhaps some kinds of equilibrium seeking are parts of practical inquiry, and can’t be modelled as expected utility maximisation. But there are also very practical reasons to think that practical inquiry doesn’t aim at expected utility maximisation. When there are a lot of very similar options - think about selecting a can from a supermarket shelf - and it’s more trouble than it’s worth to figure out which of them maximises expected utility, it’s best to ignore the differences between them and just pick. As I’ll argue in Chapter 6, this makes a big difference to how interests and knowledge interact. -/- In the version of interest-relativity that I’m defending here, everything in epistemology is interest-relative. Knowledge, rational belief, and evidence are all interest-relative. But they are all interest-relative in slightly different ways. The main aim here is to defend the interest-relativity of knowledge. A common objection to interest-relative theories of knowledge is that they can’t be extended into theories of all the things we care about in epistemology. Here I try to meet that challenge. The way I do so is a little messy. It would be nice if there was some part of epistemology that’s interest-invariant, as I used to think, or if all the interest-relative notions were interest-relative in the same way, as other interest-relative epistemologists argue. For better or worse, that’s not the view I’m defending. Interests matter throughout epistemology, and we just have to go case by case to figure out how and why they matter. (shrink)

The author has extensive law enforcement experience and the paper is intended to provoke thought on the use of technology as it pertains to information sharing between the police and the private sector. -/- As the world edges closer and closer to the convergence of man and machine, the human capacity to retrieve information is increasing by leaps and bounds. We are on the verge of knowing everything and anything there is to know, and literally in the blink of an (...) eye! -/- This means that police will have the capacity to learn everything about everyone with the only restriction being privacy legislation. But it also means that those involved in immoral, unlawful or illegal activity will have that same capacity and with no such restriction. ‘Bad Brother’ may be far more dangerous than ‘Big Brother!' -/- The global community requires a secure and credible system to retrieve and assess all of the information ‘generally available to the public.' A system that will strive to keep ‘Big Brother’ in check and ‘Bad Brother’ out, all the while providing a means of alerting citizens to genuine risks or to dangerous people. Such as system would help diffuse the systemic inaccurate and harmful profiling that is often based on rumours and innuendo. -/- There is an identified public-private partnership opportunity. A chance to work with privacy advocate groups and background checking private companies to define, design and deliver on something that will be of immense benefit to citizens around the globe. -/- We have an opportunity to create something that will work to ensure that only the best information gets used and in a moralistic, lawful and legal way! Technology continues to move forward at incomprehensible speeds – failure to act could have serious consequences. (shrink)

It is widely accepted that consent is a normative power. For instance, consent can make an impermissible act permissible. In the words of Heidi Hurd, it “turns a trespass into a dinner party... an invasion of privacy into an intimate moment.” In this chapter, I argue against the assumption that consent has such robust powers for moral transformation. In particular, I argue that there is a wide range of sex that harms or wrongs victims despite being consensual. Moreover, these cases (...) are not limited to those where con- sent is vitiated by background conditions. I start by calling this category of consensual sex Bad Sex. I then distinguish subspecies of this category, including psychological pressure, social coercion, and epistemically unsafe sex. I end by responding to an objection on which we should treat at least some subspecies of Bad Sex as rape. Though this alternative proposal is often motivated by ameliorative and strategic considerations, I argue that such considerations actually count against collapsing the categories of Bad Sex and rape. (shrink)

In Big Gods, Norenzayan (2013) presents the most comprehensive treatment yet of the Big Gods question. The book is a commendable attempt to synthesize the rapidly growing body of survey and experimental research on prosocial effects of religious primes together with cross-cultural data on the distribution of Big Gods. There are, however, a number of problems with the current cross-cultural evidence that weaken support for a causal link between big societies and certain types of Big Gods. Here we attempt to (...) clarify these problems and, in so doing, correct any potential misinterpretation of the cross-cultural findings, provide new insight into the processes generating the patterns observed, and flag directions for future research. (shrink)

This paper argues that instituting Citizen Boards of Governance (CBGs) is the optimal strategy to democratically contain Big Tech’s algorithmic powers in the digital public sphere. CBGs are bodies of randomly selected citizens that are authorized to govern the algorithmic infrastructure of Big Tech platforms. The main advantage of CBGs is to tackle the concentrated powers of private tech corporations without giving too much power to governments. I show why this is a better approach than ordinary state regulation or relying (...) on market mechanisms. My proposal follows from the critique of Big Tech’s concentrated powers, and explains how this justifies democratizing algorithms in the digital public sphere. My approach thus speaks to a core commitment in democratic theory: enhancing the autonomy of the public sphere from the centers of powers in modern societies, be it corporations or governments. (shrink)

Recently, it has been argued that the use of Big Data transforms the sciences, making data-driven research possible and studying causality redundant. In this paper, I focus on the claim on causal knowledge by examining the Big Data project EXPOsOMICS, whose research is funded by the European Commission and considered capable of improving our understanding of the relation between exposure and disease. While EXPOsOMICS may seem the perfect exemplification of the data-driven view, I show how causal knowledge is necessary for (...) the project, both as a source for handling complexity and as an output for meeting the project’s goals. Consequently, I argue that data-driven claims about causality are fundamentally flawed and causal knowledge should be considered a necessary aspect of Big Data science. In addition, I present the consequences of this result on other data-driven claims, concerning the role of theoretical considerations. I argue that the importance of causal knowledge and other kinds of theoretical engagement in EXPOsOMICS undermine theory-free accounts and suggest alternative ways of framing science based on Big Data. (shrink)

Levy (2021 Levy, N. (2021). Bad beliefs: Why they happen to good people. Oxford University Press.[Crossref], [Google Scholar]) argues that bad beliefs predominately stem from automatic (albeit rational) updating in response to testimonial evidence. To counteract such beliefs, then, we should focus on ridding our epistemic environments of misleading testimony. This paper responds as follows. First, I argue that the suite of automatic processes related to bad beliefs extends well beyond the deference-based processes that Levy identifies. Second, I push back (...) against Levy’s claim that bad beliefs stem from wholly rational processes, suggesting that, in many cases, such processes are better characterized as arational. Finally, I note that Levy is too quick to dismiss the role that individuals can play in cleaning up their own epistemic environments, and I suggest one route through which this is possible. (shrink)

Between 2006 and 2011, humanity accumulated 1,600 EB of data. As a result of this growth, there is now more data produced than available storage. This article explores the problem of “Big Data,” arguing for an epistemological approach as a possible solution to this ever-increasing challenge.

Politics abounds with bad language: lying and bullshitting, grandstanding and virtue signaling, code words and dogwhistles, and more. But why is there so much bad language in politics? And what, if anything, can we do about it? In this paper I show how these two questions are connected. Politics is full of bad language because existing social and political institutions are structured in such a way that the production of bad language becomes rational. In principle, by modifying these institutions we (...) can reduce the prevalence of bad language. However, as I show, such practical efforts are fraught with difficulties. After first outlining an account of bad language (Section 1), I examine the rationality of three different types of bad language: inaccurate language, insincere language, and unclear language (Section 2). Next, I discuss the possibility of implementing institutional reforms to improve the quality of political discourse (Section 3). However, I then outline and discuss two serious complications for institutional reforms—namely, they create risk of abuse, and they could preclude instances of seemingly bad language that, in fact, are socially beneficial (Section 4). I conclude with some thoughts about how to pursue institutional reform in an appropriately circumspect manner (Section 5). (shrink)

Big Data ethics involves adherence to the concepts of right and wrong behavior regarding data, especially personal data. Big Data ethics focuses on structured or unstructured data collectors and disseminators. Big Data ethics is supported, at EU level, by extensive documentation, which seeks to find concrete solutions to maximize the value of Big Data without sacrificing fundamental human rights. The European Data Protection Supervisor (EDPS) supports the right to privacy and the right to the protection of personal data in the (...) respect of human dignity. DOI: 10.13140/RG.2.2.30867.43041. (shrink)

The pervasiveness of AI-empowered technologies across multiple sectors has led to drastic changes concerning traditional social practices and how we relate to one another. Moreover, market-driven Big Tech corporations are now entering public domains, and concerns have been raised that they may even influence public agenda and research. Therefore, this chapter focuses on assessing and evaluating what kind of business model is desirable to incentivise the AI for Social Good (AI4SG) factors. In particular, the chapter explores the implications of this (...) discourse for SDG #17 (global partnership) and how this goal may encourage Big Tech corporations to strengthen multi-stakeholder partnerships that promote effective public-private and civil society partnerships and the meaningful co-presence of non-market and market values. In doing so, the chapter proposes an analysis of the sociological notion of "social license to operate" (SLO) elaborated in the mining and extractive industry literature and introduces it into the discourse on sustainable digital business models and responsible management of risks in the digital age. This serves to explore how such a social license can be adopted as a practice by digital business models to foster trust, collaboration and coordination among different actors - AI researchers and initiatives, institutions and civil society at large - for the support of SDGs interrelated targets and goals. (shrink)

In this paper we investigate if sentences presented as the result of the application of statistical models and artificial intelligence to large volumes of data – the so-called ‘Big Data’ – can be characterized as semantically true, or as quasi-true, or even if such sentences can only be characterized as probably quasi-false and, in a certain way, post-true; that is, if, in the context of Big Data, the representation of a data domain can be configured as a total structure, or (...) as a partial structure provided with a set of sentences assumed to be true, or if such representation cannot be configured as a partial structure provided with a set of sentences assumed to be true. (shrink)

Healthcare professionals decide wisely about personalized medicine, treatment plans, and resource allocation by utilizing big data analytics and machine learning. To guarantee that algorithmic recommendations are impartial and fair, however, ethical issues relating to prejudice and data privacy must be taken into account. Big data analytics and machine learning have a great potential to disrupt healthcare, and as these technologies continue to evolve, new opportunities to reform healthcare and enhance patient outcomes may arise. In order to investigate the patient’s outcomes (...) with empirical evidence, this research was conducted using an online survey to incorporate healthcare professionals, patient’s reviews, and clinical staff. The data were analyzed using SmartPLS 4.0 to predict the structural model. The findings revealed a direct impact as positive influence of using machine learning on healthcare performance and patient outcomes through big data analytics. Moreover, it is evident that this can lead to personalized treatment plans, early interventions, and improved patient outcomes. Additionally, big data analytics can help healthcare providers optimize resource allocation, improve operational efficiency, and reduce costs. The impact of big data analytics on patient outcome and healthcare performance is expected to continue to grow, making it an important area for investment and research. (shrink)

This chapter defends an axiological theory of pain according to which pains are bodily episodes that are bad in some way. Section 1 introduces two standard assumptions about pain that the axiological theory constitutively rejects: (i) that pains are essentially tied to consciousness and (ii) that pains are not essentially tied to badness. Section 2 presents the axiological theory by contrast to these and provides a preliminary defense of it. Section 3 introduces the paradox of pain and argues that since (...) the axiological theory takes the location of pain at face value, it needs to grapple with the privacy, self-intimacy and incorrigibility of pain. Sections 4, 5 and 6 explain how the axiological theory may deal with each of these. (shrink)

Must the best friends necessarily be good people? On the one hand, as Aristotle puts it, ‘people think that the same people are good and also friends’. But on the other hand, friendship sometimes seems to require that one behave badly. For example, a normally honest person might lie to corroborate a friend's story. What I will call closeness, which I take to include sensitivity to friends' subjective values and concerns as well as an inclination to take their subjective interests (...) as reasons for action, is characteristic of friendship. But this seems to require that good friends should be morally flexible, more so than is compatible with a virtuous character. This would imply tension between ideals of friendship and ideals of character. But there is an important connection between virtue and friendship which arises precisely from friends' closeness, when concern for wellbeing, another important feature of friendship, is also taken into account. This helps mitigate the tension and shows how friendship and virtue are interconnected. The connection in turn provides friendship-based reason to think the best friends must be good people, even though concerns of friendship may occasionally clash with other moral concerns. (shrink)

We provide an intuitive motivation for the hyperreal numbers via electoral axioms. We do so in the form of a Socratic dialogue, in which Protagoras suggests replacing big-oh complexity classes by real numbers, and Socrates asks some troubling questions about what would happen if one tried to do that. The dialogue is followed by an appendix containing additional commentary and a more formal proof.

Although Benjamin Schnieder’s theory of the “ordinary conception” of properties successfully handles paradoxical properties—particularly, the property of non-self-instantiation—it fails to account for ordinary, non-pathological cases. The theory allows the inference of ‘a has the property of being F’ only given F(a) and the prior assertibility of ‘the property of being F can exist’. While this allows us to block an inference to a contradiction, it also blocks all of the non-pathological instances of the inference from ‘a is F’ to ‘a (...) has the property of being F’. It thereby fails both as a theory of the ordinary conception and as a replacement of the ordinary notion, assuming the latter is defective. (shrink)

This review delves into the influence of big data analytics on project management effectiveness and project success rates. By examining applications, accomplishments, hindrances, and emerging developments in the context of big data analytics and project management, this review provides insights into its transformative potential. Results indicate that big data analytics fosters improved project performance, more robust risk management, and heightened adaptability. However, challenges related to data quality, privacy, and project manager training remain to be addressed. This review underscores the value (...) of data-driven decision-making for both practitioners and researchers in the project management field. (shrink)

Big Data has the potential to enable unprecedentedly rigorous quantitative modeling of complex human social relationships and social structures. When such models are extended to nonhuman domains, they can undermine anthropocentric assumptions about the extent to which these relationships and structures are specifically human. Discoveries of relevant commonalities with nonhumans may not make us less human, but they promise to challenge fundamental views of what it is to be human.

Big History has been developing very fast indeed. We are currently observing a ‘Cambrian explosion’ in terms of its popularity and diffusion. Big History courses are taught in the schools and universities of several dozen countries, including China, Korea, the Netherlands, the USA, India, Russia, Japan, Australia, Great Britain, Germany, and many more. The International Big History Association (IBHA) is gaining momentum in its projects and membership. Conferences are beginning to be held regularly (this edited volume has been prepared on (...) the basis of the proceedings of the International Big History Association Inaugural Conference [see below for details]). Hundreds of researchers are involved in studying and teaching Big History. (shrink)

The paper outlines critical aspects concerning the increasing use of big data in agriculture and farming. In particular, the aim is to shed light on the emerging dominance of the platform economy in the field of agriculture and food production. To analyze those power structures shaping this dynamic, we start with brief observations on the general relationship between digitization and agriculture and explain the platform economy, its general business model, and the proprietary forms of market power emerging from it. Subsequently, (...) we analyze the implications of the involvement of platform-economic companies in the agricultural sector. To do so, we critically examine several key examples that illuminate the strategies and ultimate objectives of those key tech players involved in this transition––particularly, two of the most dominant cloud providers, Alphabet and Amazon. Finally, we identify the main problems that can potentially emerge, and that can already be observed, from Big Tech’s involvement in agriculture and food production: (1) epistemic asymmetry (2) the erosion of privacy (3) potential harms to smaller farms and farmers, and (4) systemic dependencies on a monopolist data infrastructure. As we argue, these four dimensions are not only essential to take into account, but they also ultimately need to be responded to politically. From a policy perspective, to maintain data justice and epistemic symmetry, and to avoid the risks highlighted, we suggest––next to stressing the need for critical scholarship––to establish a democratically governed data trust, rely on open source technology, and fundamentally commit to the principle of collective data sovereignty. -/- Keywords: big tech, data sovereignty, digital farming, digital agriculture, surveillance capitalism, platform economy. (shrink)

The main problems faced by scientists in working with Big Data sets, highlighting the main ethical issues, taking into account the legislation of the European Union. After a brief Introduction to Big Data, the Technology section presents specific research applications. There is an approach to the main philosophical issues in Philosophical Aspects, and Legal Aspects with specific ethical issues in the EU Regulation on the protection of natural persons with regard to the processing of personal data and on the free (...) movement of such data, and repealing Directive 95/46/EC (Data Protection Directive - General Data Protection Regulation, "GDPR"). The Ethics Issues section details the specific aspects of Big Data. After a brief section of Big Data Research, I finalize my work with the presentation of Conclusions on research ethics in working with Big Data. -/- ISBN 978-606-033-307-4 , DOI: 10.58679/MM14975 . (shrink)

In this article, we show how it is possible to lawfully buy an election. The method we describe for buying an election is novel. The key things that make it possible to buy an election are the existence of public voter registration lists where one can see whether a given elector has voted in a particular election, and the existence of Big Data Analytics that with a high degree of accuracy can predict what a given elector will vote in an (...) upcoming election. Someone interested in buying an election can enter an employment contract with all, or some of, the opponent electors where these electors are paid to do a job that prevents them from voting. By purchasing access to the public voter registration lists, it is possible to verify ex-post whether the opponent electors that one has signed a contract with have abstained. In the last two sections of the article, we discuss several barriers that can undermine an attempt to buy an election in the manner we identify. (shrink)

This article aims to explore the question of education in Plato from the historical context, thinking the model of Athens, Lesbos and Sparta, and from the perspective where a bad paideía, the low quality in the formation of citizens, becomes the main cause generating social disruption. Then, a reflection was made on the educational possibilities that Athenians from different social classes would have and on the Platonic proposal based on the combination of gymnastics and music, so that a citizen profile (...) with solid collective ideals would be developed to the point of avoiding stásis. DRAFT TRANSLATION!!! Original pagination will be indicated in brackets, e.g. [p. 104]. Portuguese published version: Carvalhar, C. (2020). A má educação como a principal causa da ruptura social. Revista Enunciação, 5(1), p. 102-117. (shrink)

Big Data can generate, through inferences, new knowledge and perspectives. The paradigm that results from using Big Data creates new opportunities. Big Data has great influence at the governmental level, positively affecting society. These systems can be made more efficient by applying transparency and open governance policies, such as Open Data. After developing predictive models for target audience behavior, Big Data can be used to generate early warnings for various situations. There is thus a positive feedback between research and practice, (...) with rapid discoveries taken from practice. DOI: 10.13140/RG.2.2.14677.17120 . (shrink)

Philosophy &Public Affairs, Volume 51, Issue 4, Page 413-449, Fall 2023.

This study examined correlations between moral value judgments on a 17-item Moral Intuition Survey (MIS), and participant scores on the Short-D3 “Dark Triad” Personality Inventory—a measure of three related “dark and socially destructive” personality traits: Machiavellianism, Narcissism, and Psychopathy. Five hundred sixty-seven participants (302 male, 257 female, 2 transgendered; median age 28) were recruited online through Amazon Mechanical Turk and Yale Experiment Month web advertisements. Different responses to MIS items were initially hypothesized to be “conservative” or “liberal” in line with (...) traditional public divides. Our demographic data confirmed all of these hypothesized categorizations. We then tested two broad, exploratory hypotheses: (H1) the hypothesis that there would be “many” significant correlations between conservative MIS judgments and the Dark Triad, and (H2) the hypothesis that there would be no significant correlations between liberal MIS judgments and Machiavellianism or Psychopathy, but “some” significant correlations between liberal MIS judgments and Narcissism. Because our hypotheses were exploratory and we ran a large number of statistical tests (62 total), we utilized a Bonferroni Correction to set a very high threshold for significance (p = .0008). Our results broadly supported our two hypotheses. We found eleven significant correlations between conservative MIS judgments and the Dark Triad—all at significance level of p < .00001—but no significant correlations between the Dark Triad and liberal MIS judgments. We believe that these results raise provocative moral questions about the personality bases of moral judgments. In particular, we propose that because the Short-D3 measures three “dark and antisocial” personality traits, our results raise some prima facie worries about the moral justification of some conservative moral judgments. (shrink)

Each scientific study emerges in its own particular time and marks a new step in the development of human thought.1 Big History materialized to satisfy the human need for a unified vision of our existence. It came together in the waning decades of the twentieth century, in part, as a reaction to the specialization of scholarship and education that had taken hold around the world. While this specialization had great results, it created barriers that stood in contrast to a growing (...) unity among our global communities. These barriers were increasingly awkward to bridge, and, thus, Big History emerged as a successful new framework. (shrink)

What is the epistemological status of Big Data? Is there really place for them in a scientific search for new empirical laws?