The 2023 doctors’ strikes in the UK have elicited a familiar moral outcry that such strikes are morally wrong. We consider five arguments that might be thought to show doctors’ strikes are morally impermissible but show that they all fail. The most we can conclude from such arguments is that doctors’ strikes are morally permissible in a narrower range of circumstances than strikes in other sectors.We then outline two independent but compatible justifications for doctors’ strikes, one that appeals to doctors’ (...) interests in fair pay and working conditions and one that appeals to doctors’ duty to protect public health. We also suggest that doctors’ strikes can be supererogatory when they aim to correct a government failing in its own duty to protect public health. Finally, we assess the 2023 UK doctors’ strikes. We conclude that they are justified and there is a case for considering them supererogatory. (shrink)

We respond to David Wilkinson’s arguments against our view of the ethicality of doctors’ strikes and our claim that the 2023–2024 UK doctors’ strikes are morally permissible and arguably supererogatory.Wilkinson proposes that in specialist outpatient settings, striking doctors should help arrange their own cover to prevent disproportionate harm to patients and to abide by the principles of non-maleficence and fiduciary duty. This hasn’t happened during the 2023–2024 UK doctors’ strikes; therefore, in his view, these strikes are morally impermissible. We reject (...) Wilkinson’s proposal on the grounds that the risk of disproportionate harm is adequately mitigated by existing arrangements and his interpretations of non-maleficence and fiduciary duty are overly demanding.We agree with Wilkinson that strikes put particularly high pressure on covering doctors in chronically under resourced specialisms. But this doesn’t justify calling off or depowering doctors’ strikes because, without effective strikes, under-resourcing is likely to continue and, ultimately, cause even more harm.Wilkinson argues that doctors cannot justifiably strike in the interests of public health because they don’t have a broad duty to public health. We think they do have such a duty; however, we argue that doctors can justifiably strike in the interest of public health whether they have such a duty or not.Finally, we defend our claim that doctors’ strikes can be supererogatory from Wilkinson’s objections that there may be no such thing as supererogatory action and that our view absurdly entails that strikes can be supererogatory despite placing unfair demands on others. (shrink)

Doctors’ strikes are legally permissible in the UK, with the situation differing in other countries. But are they morally permissible? Doug McConnell and Darren Mann have systematically attempted to dismiss the arguments for the moral impermissibility of doctors’ strikes and creatively attempted to provide further moral justification for them. Unfortunately for striking doctors, they fail to achieve this. Meanwhile, junior doctors’ strikes have continued in the UK through 2023 and have now extended into 2024. In this response, which (...) focuses on the UK situation and specifically junior doctors’ strikes in the National Health Service (NHS) in England, I will demonstrate a central problem with their arguments—namely that they underplay the harms caused by prolonged doctors’ strikes by ignoring the harms to patients with cancer. This weakens their conclusion that strikes are morally permissible in terms of the conditions and thresholds they set. I then provide a psychological critique of their justification for strikes in terms of the interests of the public. It follows that invoking the controversial concept of supererogatory action is ungrounded but also absurd when you consider time-critical cancer care. If those representing striking doctors wish to maintain a modicum of moral respectability, they should mitigate for patients with cancer and negotiate reasonably and with urgency. (shrink)

There is an ongoing debate about the ethics of research on lifespan extension: roughly, using medical technologies to extend biological human lives beyond the current “natural” limit of about 120 years. At the same time, there is an exploding interest in the use of artificial intelligence (AI) to create “digital twins” of persons, for example by fine-tuning large language models on data specific to particular individuals. In this paper, we consider whether digital twins (or digital doppelgängers, as we refer to (...) them) could be a path toward a kind of life extension—or more precisely, a kind of person extension—that does not rely on biological continuity. We discuss relevant accounts of consciousness and personal identity and argue that digital doppelgängers may at least help us achieve some of the aims or ostensible goods of person-span extension, even if they may not count as literal extensions of our personhood on dominant philosophical accounts. We also consider relational accounts of personhood and discuss how digital doppelgängers may be able to extend personhood in a relational sense, or at least secure some of the goods associated with relevant relationships. We conclude by suggesting that a research program to investigate such issues is relevant to ongoing debates about the ethics of extending the human lifespan. (shrink)

Volume 24, Issue 7, July 2024, Page 6-12.

Participation in research is supposed to be voluntary and informed. Yet it is difficult to ensure people are adequately informed about the potential uses of their biological materials when they donate samples for future research. We propose a novel consent framework which we call “demonstrated consent” that leverages blockchain technology and generative AI to address this problem. In a demonstrated consent model, each donated sample is associated with a unique non-fungible token (NFT) on a blockchain, which records in its metadata (...) information about the planned and past uses of the sample in research, and is updated with each use of the sample. This information is accessible to a large language model (LLM) customized to present this information in an understandable and interactive manner. Thus, our model uses blockchain and generative AI technologies to track, make available, and explain information regarding planned and past uses of donated samples. (shrink)

Participation in research is supposed to be voluntary and informed. Yet it is difficult to ensure people are adequately informed about the potential uses of their biological materials when they donate samples for future research. We propose a novel consent framework which we call “demonstrated consent” that leverages blockchain technology and generative AI to address this problem. In a demonstrated consent model, each donated sample is associated with a unique non-fungible token (NFT) on a blockchain, which records in its metadata (...) information about the planned and past uses of the sample in research, and is updated with each use of the sample. This information is accessible to a large language model (LLM) customized to present this information in an understandable and interactive manner. Thus, our model uses blockchain and generative AI technologies to track, make available, and explain information regarding planned and past uses of donated samples. (shrink)

The integration of artificial intelligence (AI), particularly large language models (LLMs) like OpenAI’s ChatGPT, into clinical research could significantly enhance the informed consent process. This paper critically examines the ethical implications of employing LLMs to facilitate consent in clinical research. LLMs could offer considerable benefits, such as improving participant understanding and engagement, broadening participants’ access to the relevant information for informed consent and increasing the efficiency of consent procedures. However, these theoretical advantages are accompanied by ethical risks, including the potential (...) for misinformation, coercion and challenges in accountability. Given the complex nature of consent in clinical research, which involves both written documentation (in the form of participant information sheets and informed consent forms) and in-person conversations with a researcher, the use of LLMs raises significant concerns about the adequacy of existing regulatory frameworks. Institutional Review Boards (IRBs) will need to consider substantial reforms to accommodate the integration of LLM-based consent processes. We explore five potential models for LLM implementation, ranging from supplementary roles to complete replacements of current consent processes, and offer recommendations for researchers and IRBs to navigate the ethical landscape. Thus, we aim to provide practical recommendations to facilitate the ethical introduction of LLM-based consent in research settings by considering factors such as participant understanding, information accuracy, human oversight and types of LLM applications in clinical research consent. (shrink)

The emergence of new digital technologies in modern work organizations is also changing the way employees and employers communicate, design work processes and responsibilities, and delegate. This paper takes an interdisciplinary—namely sociological and philosophical—perspective on the use of AI in healthcare work organizations. Using this example, structural power relations in modern work organizations are first examined from a sociological perspective, and it is shown how these structural power relations, decision-making processes, and areas of responsibility shift when AI is used. In (...) the subsequent ethical part, opportunities for a fairer organization of work, but also dangers due to possibly changed power relations are elaborated and evaluated by presenting a realistic scenario from everyday clinical practice. After combining a proceduralist account of organizational ethics with a virtue-ethical approach, it is argued that certain organizational and character dispositions are necessary for employers and employees to meet the challenge of changing structural power relations in the future. With the same goal, a summative sociological perspective discusses challenges to workplace co-determination. (shrink)

_Purpose:_ In order to develop an evidence-based, sport-specific minimum impairment criteria (MIC) for the sport of vision-impaired (VI) shooting, this study aimed to determine the relative influence of losses in visual acuity (VA) and contrast sensitivity (CS) on shooting performance. Presently, VA but not CS is used to determine eligibility to compete in VI shooting. _Methods:_ Elite able-sighted athletes ( n = 27) shot under standard conditions with their habitual vision, and with their vision impaired by the use of simulation (...) spectacles (filters which reduce both VA and CS) and refractive blur (lenses which reduce VA with less effect on CS). Habitual shooting scores were used to establish a cut-off in order to determine when shooting performance was ‘below expected’ in the presence of vision impairment. Logistic regression and decision tree analyses were then used to assess the relationship between visual function and shooting performance. _Results:_ Mild reductions in VA and/or CS did not alter shooting performance, with greater reductions required for shooting performance to fall below habitual levels (below 87% of normalized performance). Stepwise logistic regression selected CS as the most significant predictor of shooting performance, with VA subsequently improving the validity of the model. In an unconstrained decision tree analysis, CS was selected as the sole criterion (80%) for predicting ‘below expected’ shooting score. _Conclusion:_ Shooting performance is better predicted by losses in CS than by VA. Given that it is not presently tested during classification, the results suggest that CS is an important measure to include in testing for the classification of vision impairment for athletes competing in VI shooting. (shrink)

Down Girl is a broad, original, and far ranging analysis of what misogyny really is, how it works, its purpose, and how to fight it. The philosopher Kate Manne argues that modern society's failure to recognize women's full humanity and autonomy is not actually the problem. She argues instead that it is women's manifestations of human capacities -- autonomy, agency, political engagement -- is what engenders misogynist hostility.

Die objektive Hermeneutik innerhalb der Landschaft der Methodenschulen der qualitativen Sozialforschung kann man nur angemessen verstehen, wenn die spezifischen sozialontologischen Grundlagen der Gegenstandsbestimmung geklärt werden. Das geht wiederum nur mit Bezug auf das post-strukturale Theorem des de-zentrierten Subjekts auf der Grundlage einer Theorie der generativen Tiefengrammatik von Subtexten des habituellen Arbeitsapparates, die die biographische Rekonstruktion der psychodynamischen Selbstaufstellung erforderlich macht. Das Problem soll erläutert werden, dabei aber nicht vorwiegend auf Methoden, sondern hauptsächlich auf die epistemischen Grundlagen der Methodologie eingehend.

Broadening access to both computational and educational resources is crit- ical to diffusing machine learning (ML) innovation. However, today, most ML resources and experts are siloed in a few countries and organizations. In this article, we describe our pedagogical approach to increasing access to applied ML through a massive open online course (MOOC) on Tiny Machine Learning (TinyML). We suggest that TinyML, applied ML on resource-constrained embedded devices, is an attractive means to widen access because TinyML leverages low-cost and globally (...) accessible hardware and encourages the development of complete, self-contained applications, from data collection to deployment. To this end, a collaboration between academia and industry produced a four part MOOC that provides application-oriented instruction on how to develop solutions using TinyML. The series is openly available on the edX MOOC platform, has no prerequisites beyond basic programming, and is designed for global learners from a variety of backgrounds. It introduces real-world applications, ML algorithms, data-set engineering, and the ethi- cal considerations of these technologies through hands-on programming and deployment of TinyML applications in both the cloud and on their own microcontrollers. To facili- tate continued learning, community building, and collaboration beyond the courses, we launched a standalone website, a forum, a chat, and an optional course-project com- petition. We also open-sourced the course materials, hoping they will inspire the next generation of ML practitioners and educators and further broaden access to cutting-edge ML technologies. (shrink)

What should we believe? One plausible view is that we should believe what is true. Another is that we should believe what is rational to believe. I will argue that both these theses can be accounted for once we add an independently motivated contextualism about normative terms. According to contextualism, the content of ‘ought’ depends on two parameters – a goal and a modal base (or set of possible worlds). It follows that there is a sense in which we should (...) believe truths and a sense in which we should believe what is rational to believe. (shrink)

Learning disabilities are highly prevalent on college campuses, yet students with learning disabilities graduate at lower rates than those without disabilities. Academic and psychosocial supports are essential for overcoming challenges and for improving postsecondary educational opportunities for students with learning disabilities. A holistic, multi-level model of campus-based supports was established to facilitate culture and practice changes at the institutional level, while concurrently bolstering mentors’ abilities to provide learning disability-knowledgeable support, and simultaneously creating opportunities for students’ personal and interpersonal development. Mixed (...) methods were used to investigate implementation of coordinated personal, interpersonal, and institutional level supports for undergraduate science, technology, engineering, and math (STEM) students with learning disabilities. A one-group pre-test post-test strategy was used to examine undergraduate outcomes. Participants included 52 STEM undergraduates with learning disabilities, 57 STEM graduate student mentors, 34 STEM faculty mentors, and 34 university administrators and personnel as members of a university-wide council. Enrolled for two years, undergraduates were engaged in group meetings involving psychoeducation and reflective discussions, development of self-advocacy projects, and individual mentorship. Undergraduates reported improved self efficacy (p =.001), campus connection (p <.001), professional development (p ≤.002), and self advocacy (p <.001) after two academic years. Graduate student mentors increased their understanding about learning disabilities and used their understanding to support both their mentees and other students they worked with. Council members identified and created opportunities for delivering learning disability-related trainings to faculty, mentors and advisors on campus, and for enhancing coordination of student services related to learning and related disorders. Disability-focused activities became integrated in broader campus activities regarding diversity. This research explicates a role that college campuses can play in fostering the wellbeing and the academic and career development of its students with developmental learning and related disorders. It offers an empirically tested campus-based model that is multilevel, holistic, and strengths-based for supporting positive outcomes of young people with learning disabilities in STEM. Moreover, findings advance the knowledge of supports and skills that are important for self-regulating and navigating complex and multi-faceted disability-related challenges within both the post-secondary educational environment and the young adults’ sociocultural context. (shrink)

Research on fairness in machine learning (ML) has been largely focusing on individual and group fairness. With the adoption of ML-based technologies as assistive technology in complex societal transformations or crisis situations on a global scale these existing definitions fail to account for algorithmic fairness transnationally. We propose to complement existing perspectives on algorithmic fairness with a notion of transnational algorithmic fairness and take first steps towards an analytical framework. We exemplify the relevance of a transnational fairness assessment in a (...) case study on a disaster response system using images from online social media. In the presented case, ML systems are used as a support tool in categorizing and classifying images from social media after a disaster event as an almost instantly available source of information for coordinating disaster response. We present an empirical analysis assessing the transnational fairness of the application’s outputs-based on national socio-demographic development indicators as potentially discriminatory attributes. In doing so, the paper combines interdisciplinary perspectives from data analytics, ML, digital media studies and media sociology in order to address fairness beyond the technical system. The case study investigated reflects an embedded perspective of peoples’ everyday media use and social media platforms as the producers of sociality and processing data-with relevance far beyond the case of algorithmic fairness in disaster scenarios. Especially in light of the concentration of artificial intelligence (AI) development in the Global North and a perceived hegemonic constellation, we argue that transnational fairness offers a perspective on global injustices in relation to AI development and application that has the potential to substantiate discussions by identifying gaps in data and technology. These analyses ultimately will enable researchers and policy makers to derive actionable insights that could alleviate existing problems with fair use of AI technology and mitigate risks associated with future developments. (shrink)

If an agent believes that the probability of E being true is 1/2, should she accept a bet on E at even odds or better? Yes, but only given certain conditions. This paper is about what those conditions are. In particular, we think that there is a condition that has been overlooked so far in the literature. We discovered it in response to a paper by Hitchcock (2004) in which he argues for the 1/3 answer to the Sleeping Beauty problem. (...) Hitchcock argues that this credence follows from calculating her fair betting odds, plus the assumption that Sleeping Beauty’s credences should track her fair betting odds. We will show that this last assumption is false. Sleeping Beauty’s credences should not follow her fair betting odds due to a peculiar feature of her epistemic situation. (shrink)

The rapidly advancing field of brain-computer (BCI) and brain-to-brain interfaces (BBI) is stimulating interest across various sectors including medicine, entertainment, research, and military. The developers of large-scale brain-computer networks, sometimes dubbed ‘Mindplexes’ or ‘Cloudminds’, aim to enhance cognitive functions by distributing them across expansive networks. A key technical challenge is the efficient transmission and storage of information. One proposed solution is employing blockchain technology over Web 3.0 to create decentralised cognitive entities. This paper explores the potential of a decentralised web (...) for coordinating large brain-computer constellations, and its associated benefits, focusing in particular on the conceptual and ethical challenges this innovation may pose pertaining to (1) Identity, (2) Sovereignty (encompassing Autonomy, Authenticity, and Ownership), (3) Responsibility and Accountability, and (4) Privacy, Safety, and Security. We suggest that while a decentralised web can address some concerns and mitigate certain risks, underlying ethical issues persist. Fundamental questions about entity definition within these networks, the distinctions between individuals and collectives, and responsibility distribution within and between networks, demand further exploration. (shrink)

Oxford Studies in Ancient Philosophy is a volume of original articles on all aspects of ancient philosophy. The articles may be of substantial length, and include critical notices of major books. OSAP is now published twice yearly, in both hardback and paperback.

Theological interpretation of the Bible is one of the most significant debates within theology today. Yet what exactly is theological reading? Darren Sarisky proposes that it requires identification of the reader via a theological anthropology; an understanding of the text as a collection of signs; and reading the text with a view toward engaging with what it says of transcendence. Accounts of theological reading do not often give explicit focus to the place of the reader, but this work seeks (...) to redress this neglect. Sarisky examines Augustine's approach to the Bible and how his theological insights into the reader and the text generate an aim for interpretation, which is fulfilled by fitting reading strategies. He also engages with Spinoza, showing that theological exegesis contrasts not with approaches that take history seriously, but with naturalistic approaches to reading. (shrink)

There is currently a lively debate about whether there are practical reasons for belief, epistemic reasons for belief, or both. I will argue that the intuitions on all sides can be fully accounted for by applying an independently motivated contextualist semantics for normative terms. Specifically, normative terms must be relativized to a goal. One possible goal is epistemic, such as believing truly and not believing falsely, while another possible goal is practical, such as satisfying desires, or maximizing value. I will (...) argue that we have practical reasons given the practical goal and epistemic reasons given the epistemic goal. Disagreement disappears when we make the context explicit. The result is an independently motivated version ofpluralism. (shrink)

Previous findings demonstrate that people often do not feel how they want to feel, supporting the distinction between “actual affect” and “ideal affect.” But are there certain activities that reduce the discrepancy between actual and ideal affect? Based on flow theory and socioemotional selectivity theory, we examined whether the discrepancy between people’s actual and ideal positive affect would be smaller during activities that were more conducive to flow (a state of intense absorption and concentration), pleasant, and familiar. In Study 1, (...) U.S. participants aged 17–79 (N = 393) reported their ideal affect and how they felt during activities with varying degrees of challenges and skills. For both low-arousal positive affect (LAP) and high-arousal positive affect (HAP), participants reported smaller actual-ideal affect discrepancies during flow-conducive activities (when skills matched challenges). Study 2 was a 14-day experience sampling study, in which Hong Kong participants aged 18–83 (Nindividual = 109) reported their momentary actual and ideal affect, and how pleasant and familiar their activities were (Nexperience = 3,815). Greater activity familiarity was associated with smaller discrepancies in actual-ideal LAP, while greater activity pleasantness was associated with smaller discrepancies in actual-ideal HAP. These findings provide insights on the activities that help people achieve their ideal affect more easily. (shrink)

What if your peers tell you that you should disregard your perceptions? Worse, what if your peers tell you to disregard the testimony of your peers? How should we respond if we get evidence that seems to undermine our epistemic rules? Several philosophers have argued that some epistemic rules are indefeasible. I will argue that all epistemic rules are defeasible. The result is a kind of epistemic particularism, according to which there are no simple rules connecting descriptive and normative facts. (...) I will argue that this type of particularism is more plausible in epistemology than in ethics. The result is an unwieldy and possibly infinitely long epistemic rule — an Uber-rule. I will argue that the Uber-rule applies to all agents, but is still defeasible — one may get misleading evidence against it and rationally lower one’s credence in it. (shrink)

This collection of papers by prominent feminist thinkers advances the positive feminist project of remapping the moral by developing theory that acknowledges the diversity of women.

We describe a new class of experiments designed to probe the foundations of quantum mechanics. Using quantum controlling devices, we show how to attain a freedom in temporal ordering of the control and detection of various phenomena. We consider wave–particle duality in the context of quantum-controlled and the entanglement-assisted delayed-choice experiments. Then we discuss a quantum-controlled CHSH experiment and measurement of photon’s transversal position and momentum in a single set-up.

Many epistemological problems can be solved by the objective Bayesian view that there are rationality constraints on priors, that is, inductive probabilities. But attempts to work out these constraints have run into such serious problems that many have rejected objective Bayesianism altogether. I argue that the epistemologist should borrow the metaphysician’s concept of naturalness and assign higher priors to more natural hypotheses.

An attractive picture of the world is that some features are metaphysically fundamental and others are derivative, with the derivative features grounded in the fundamental features. But how do we have justified beliefs about which features are fundamental? What is the epistemology of fundamentality? I sketch a response in this paper. The guiding idea is that the same properties cause the same experiences. I argue that a probabilistic connection between epistemic fundamentality and metaphysical fundamentality is sufficient for justified beliefs about (...) the metaphysically fundamental. (shrink)

The Protein Ontology (PRO) provides a formal, logically-based classification of specific protein classes including structured representations of protein isoforms, variants and modified forms. Initially focused on proteins found in human, mouse and Escherichia coli, PRO now includes representations of protein complexes. The PRO Consortium works in concert with the developers of other biomedical ontologies and protein knowledge bases to provide the ability to formally organize and integrate representations of precise protein forms so as to enhance accessibility to results of protein (...) research. PRO (http://pir.georgetown.edu/pro) is part of the Open Biomedical Ontologies (OBO) Foundry. (shrink)

The dream-lag effect refers to there being, after the frequent incorporation of memory elements from the previous day into dreams , a lower incorporation of memory elements from 2 to 4 days before the dream, but then an increased incorporation of memory elements from 5 to 7 days before the dream. Participants kept a daily diary and a dream diary for 14 days and then rated the level of matching between every dream report and every daily diary record. Baseline matching (...) was assessed by comparing all dream reports to all diary records for days that occurred after the dream. A significant dream-lag effect for the 5–7 day period, compared to baseline and compared to the 2–4 day period, was found. This may indicate a memory processing function for sleep, which the dream content may reflect. Participants’ and three independent judges’ mean ratings also confirmed a significant day-residue effect. (shrink)

Sometimes we learn what the world is like, and sometimes we learn where in the world we are. Are there any interesting differences between the two kinds of cases? The main aim of this article is to argue that learning where we are in the world brings into view the same kind of observation selection effects that operate when sampling from a population. I will first explain what observation selection effects are ( Section 1 ) and how they are relevant (...) to learning where we are in the world ( Section 2 ). I will show how measurements in the Many Worlds Interpretation of quantum mechanics can be understood as learning where you are in the world via some observation selection effect ( Section 3 ). I will apply a similar argument to the Sleeping Beauty Problem ( Section 4 ) and explain what I take the significance of the analogy to be ( Section 5 ). Finally, I will defend the Restricted Principle of Indifference on which some of my arguments depend ( Section 6 ). (shrink)

How do temporal and eternal beliefs interact? I argue that acquiring a temporal belief should have no effect on eternal beliefs for an important range of cases. Thus, I oppose the popular view that new norms of belief change must be introduced for cases where the only change is the passing of time. I defend this position from the purported counter-examples of the Prisoner and Sleeping Beauty. I distinguish two importantly different ways in which temporal beliefs can be acquired and (...) draw some general conclusions about their impact on eternal beliefs. (shrink)

What does logic tells us how about we ought to reason? If P entails Q, and I believe P, should I believe Q? I will argue that we should embed the issue in an independently motivated contextualist semantics for ‘ought’, with parameters for a standard and set of propositions. With the contextualist machinery in hand, we can defend a strong principle expressing how agents ought to reason while accommodating conflicting intuitions. I then show how our judgments about blame and guidance (...) can be handled by this machinery. (shrink)

Did you know that insects could be tried for criminal acts in pre-industrial Europe, that the dead could be executed, that statues could be subjected to public humiliation, or that it was widely accepted that corpses could return to life? What made reasonable, educated men and women behave in ways that seem utterly nonsensical to us today? Strange Histories presents for the first time a serious account of some of the most extraordinary occurrences of European history. Throughout the ages, people (...) have held ideas and events have taken place which have baffled later societies. Religious disbelievers were thought deserving of death, insects were occasionally excommunicated, studying the biology of angels was a legitimate activity, and the pursuit of personal happiness was considered rather misguided as a life strategy. Using case studies from the Middle Ages and the early modern period with some from the more recent past, this book provides fascinating insights into the world-view through the ages, and shows how such goings-on fitted in quite naturally with the "common sense" of the time. Explanations of these phenomena, riveting and ultimately rational, encourage further reflection on what really shapes our beliefs. In the light of history, can we be sure of the validity of our own ideas? How many of our own beliefs might no longer "make sense" a few centuries from now? (shrink)

The main argument given for relevant alternatives theories of knowledge has been that they answer scepticism about the external world. I will argue that relevant alternatives also solve two other problems that have been much discussed in recent years, a) the bootstrapping problem and b) the apparent conflict between semantic externalism and armchair self-knowledge. Furthermore, I will argue that scepticism and Mooreanism can be embedded within the relevant alternatives framework.

Narrative construction is a discursive practice: storytellers draw on the language, signs and symbols of their culture to provide meaning through stories. Stories that reflect the values, ideals an...

The fine-tuning argument can be used to support the Many Universe hypothesis. The Inverse Gambler’s Fallacy objection seeks to undercut the support for the Many Universe hypothesis. The objection is that although the evidence that there is life somewhere confirms Many Universes, the specific evidence that there is life in this universe does not. I will argue that the Inverse Gambler’s Fallacy is not committed by the fine-tuning argument. The key issue is the procedure by which the universe with life (...) is selected for observation. Once we take account of the procedure, we find that the support for the Many Universe hypothesis remains. (shrink)

Large language models (LLMs) such as ChatGPT or Google’s Bard have shown significant performance on a variety of text-based tasks, such as summarization, translation, and even the generation of new...