This article contains four essays from the Anarres Project, a forum for conversations, ideas, and initiatives that promote a future free of domination, exploitation, oppression, war, and empire. In the spirit of philosophy in the contemporary world, the selection includes recent work on the pandemic and related struggles for justice in the past year. An introduction to the project is included.

Deep brain stimulation interventions are novel devices being investigated for the management of severe treatment-resistant psychiatric illnesses. These interventions require the invasive implantation of high-frequency neurostimulatory probes intracranially aiming to provide symptom relief in treatment-resistant disorders including obsessive-compulsive disorder and anorexia nervosa. In the scientific literature, these neurostimulatory interventions are commonly described as reversible and to be used as a last resort option for psychiatric patients. However, the ‘last resort’ status of these interventions is rarely expanded upon. Contrastingly, usages of (...) DBS devices for neurological symptoms have paved the way for established safety and efficacy standards when used earlier in a disease’s timeline. As DBS treatments for these neurological diseases progress to have earlier indications, there is a parallel ethical concern that early implementation may one day become prescribed for psychiatric illnesses. The purpose of this article is to build off contemporary understandings of reversible neurostimulatory interventions to examine and provide clarifications on the ‘last resort’ status of DBS to better address its ethically charged use in psychiatric neurosurgery. To do this, evaluative differences between DBS treatments will be discussed to demonstrate how patient autonomy would be a paramount guiding principle when one day implementing these devices at various points along a psychiatric disease’s timeline. In presenting the clarification of ‘last resort’ status, the ethical tensions of early DBS interventions will be better understood to assist in providing psychiatric patients with more quality of life years in line with their values. (shrink)

This paper reviews studies of corporate ethical codes published since 2000 and concludes that codes be can effective instruments for shaping ethical behavior and guiding employee decision-making. Culture and effective communication are key components to a code’s success. If codes are embedded in the culture and embraced by the leaders, they are likely to be successful. Communicating the code’s precepts in an effective way is crucial to its success. Discussion between employees and management is a key component of successful ethical (...) codes. (shrink)

The rapid expansion of Big Tech companies into various societal domains (e.g., health, education, and agriculture) over the past decade has led to increasing concerns among governments, regulators, scholars, and civil society. While existing theoretical frameworks—often revolving around privacy and data protection, or market and platform power—have shed light on important aspects of Big Tech expansionism, there are other risks that these frameworks cannot fully capture. In response, this editorial proposes an alternative theoretical framework based on the notion of sphere (...) transgressions, which draws on political philosopher Michael Walzer's theory of justice. The editorial not only introduces the sphere transgressions framework, but it also highlights its potential to generate novel research questions. Furthermore, this editorial introduces eight articles and one commentary from a group of interdisciplinary scholars that critically examine Big Tech expansionism by reflecting on this expansionism from the perspective of different societal spheres or by engaging with the sphere transgressions framework itself. (shrink)

It has recently been argued that Harvey Brown and Oliver Pooley’s ‘dynamical approach’ to special relativity should be understood as what might be called an ontologically and ideologically relationalist approach to Minkowski geometry, according to which Minkowski geometrical structure supervenes upon the symmetries of the best-systems dynamical laws for a material world with primitive topological or differentiable structure. Fleshing out the details of some such primitive structure, and a conception of laws according to which Minkowski geometry could so supervene, has (...) been referred to by some as the ‘constructivist project’. Here, it is explained that Nick Huggett’s work on ‘regularity relationalism’ provides a framework for such an approach, and a relativistic version of Huggett’s regularity relationalism is outlined for that purpose. Finally, by way of examples, it is shown that this approach fails in the simplest cases. Still, reasons are given for which this should not necessarily discourage an advocate of this interpretation of the dynamical approach. _1_ Introduction to the Dynamical Approach _2_ Huggett’s Regularity Relationalism _3_ The Dynamical Approach as a Form of Regularity Relationalism _4_ A Simple Way to Set the Stage _5_ A First Attempt _5.1_ Complex-valued planewave solutions _5.2_ Real-valued planewave solutions _6_ More General Solutions _7_ Summary and Reflections. (shrink)

The law of torts is concerned with the secondary obligations generated by the infringement of primary rights. This work seeks to show that this apparently simple proposition enables us to understand the law of torts as found in the common law. Using primarily English materials, but drawing heavily upon the law of other common law jurisdictions, Stevens seeks to give an account of the law of torts which relies upon the core material familiar to most students and practitioners with (...) a grasp of the law of torts. This material is drawn together in support of a single argument in a provocative and accessible style, and puts forward a new theoretical model for analysing the law of torts, providing an overarching framework for radically reconceiving the subject. (shrink)

The Meaning of the Presumption of Innocence for Pre-trial Detention. An Empirical Approach The presumption of innocence (PoI) is considered to be an important principle for regulating pre-trial detention. The idea is that pre-trial detention should be a last resort. However, pre-trial detention practice demonstrates that pre-trial detention does not function on the basis of a presumption of innocence but rather from a presumption of guilt and dangerousness. It must be concluded that, with regard to pre-trial detention, the PoI has (...) a rather limited normative effect. (shrink)

There is significant potential for machine learning (ML) models and systems to enhance prognostic, diagnostic, and therapeutic decision-making in the healthcare context. When used in clinical setti...

Awareness of the risks posed by excess nitrogen is low beyond the scientific community. As public understanding of scientific issues is partly influenced by news reporting, this article is the first to study how the British press has discussed nitrogen pollution. A corpus-assisted frame analysis of newspaper articles highlighted five frames: Activism, where environmental charities and organizations are portrayed as having an active role in fighting pollution; Government Responsibility, where privatization is presented as central and positioned as one of the (...) main causes of pollution; Industry Responsibility, in which industries’ actions are depicted as causing pollution to increase; Pollutions as Politics, in which pollution is not discussed as a problem to be solved but rather as a means to increase votes; and Risk, where readers are warned about the possible effects of pollution on human health, flora and fauna. The analysis also points to the absence of named scientists and sources with the coverage being dominated by politicians. (shrink)

THE TITLE OF THIS PAPER calls for clarification. Not only are there several senses in which something may be said to "be," there are also many nuances to the terms "categorial" and "intuition." Taking Aristotle as a guide, let us focus upon the primary sense of "being," that is, substance considered both as first substance and second substance. We may then take "categorial" as referring to what Aristotle calls the "figures of predication," the ways in which predicates characterize subjects, indicating (...) "what" the subject is, its quality, quantity, relation, its "where," its "when," and so forth. The term "intuition" expresses something too primitive to be defined, but Edmund Husserl's metaphorical contrast between the "emptiness" of thought and speech and the "fullness" of intuition successfully highlights its essential characteristic. A couple of examples should suffice to grasp the import of Husserl's distinction. Consider the difference, for instance, between first entertaining vague plans of visiting a foreign city and then experiencing the fulfillment of actually strolling through its streets, or the difference between first reading a manual of instructions for performing some task and then actually executing the task skillfully. Taking Husserl as a guide, let us therefore characterize intuition broadly as the presentation of something in its fullness, as opposed to thinking or talking about it in an empty way. Finally, combining Husserlian and Aristotelian terminologies, we may describe categorial intuition as the presentation of figures of predication. Rather than presenting some particular thing, say a red chair, categorial intuition presents the chair's being red, the red quality's belonging to the chair. In short, categorial intuition makes present the modes of presentation of things. (shrink)

This book presents the thought of the Kyoto School in comparison with continental philosophers better known in the West and addresses the affiliation of some of its members with the militarism of the 1930s and 1940s.

ABSTRACT It has recently been argued that Harvey Brown and Oliver Pooley’s ‘dynamical approach’ to special relativity should be understood as what might be called an ontologically and ideologically relationalist approach to Minkowski geometry, according to which Minkowski geometrical structure supervenes upon the symmetries of the best-systems dynamical laws for a material world with primitive topological or differentiable structure. Fleshing out the details of some such primitive structure, and a conception of laws according to which Minkowski geometry could so supervene, (...) has been referred to by some as the ‘constructivist project’. Here, it is explained that Nick Huggett’s work on ‘regularity relationalism’ provides a framework for such an approach, and a relativistic version of Huggett’s regularity relationalism is outlined for that purpose. Finally, by way of examples, it is shown that this approach fails in the simplest cases. Still, reasons are given for which this should not necessarily discourage an advocate of this interpretation of the dynamical approach. 1 Introduction to the Dynamical Approach 2 Huggett’s Regularity Relationalism 3 The Dynamical Approach as a Form of Regularity Relationalism 4 A Simple Way to Set the Stage 5 A First Attempt 5.1 Complex-valued planewave solutions 5.2 Real-valued planewave solutions 6 More General Solutions 7 Summary and Reflections. (shrink)

This book combines a historical and philosophical study of Russell's theory of descriptions. It defends, develops, and extends the theory as a contribution to natural language semantics while also arguing for a reassessment of the importance of linguistic inquiry to Russell's philosophical project.

ABSTRACT I argue that this examination and appreciation for the shift to abductive reasoning should be extended to the intersection of neuroscience and novel brain-computer interfaces too. This paper highlights the implications of applying abductive reasoning to personalized implantable neurotechnologies. Then, it explores whether abductive reasoning is sufficient to justify insurance coverage for devices absent widespread clinical trials, which are better applied to one-size-fits-all treatments. INTRODUCTION In contrast to the classic model of randomized-control trials, often with a large number of (...) subjects enrolled, precision medicine attempts to optimize therapeutic outcomes by focusing on the individual.[i] A recent publication highlights the strengths and weakness of both traditional evidence-based medicine and precision medicine.[ii] Plus, it outlines a tension in the shift from evidence-based medicine’s inductive reasoning style (the collection of data to postulate general theories) to precision medicine’s abductive reasoning style (the generation of an idea from the limited data available).[iii] The paper’s main example is the application of precision medicine for the treatment of cancer.[iv] I argue that this examination and appreciation for the shift to abductive reasoning should be extended to the intersection of neuroscience and novel brain-computer interfaces too. As the name suggests, brain-computer interfaces are a significant advancement in neurotechnology that directly connects someone’s brain to external or implanted devices.[v] Among the various kinds of brain-computer interfaces, adaptive deep brain stimulation devices require numerous personalized adjustments to their settings during the implantation and computation stages in order to provide adequate relief to patients with treatment-resistant disorders. What makes these devices unique is how adaptive deep brain stimulation integrates a sensory component to initiate the stimulation. While not commonly at the level of sophistication as self-supervising or generative large language models,[vi] they currently allow for a semi-autonomous form of neuromodulation. This paper highlights the implications of applying abductive reasoning to personalized implantable neurotechnologies. Then, it explores whether abductive reasoning is sufficient to justify insurance coverage for devices absent widespread clinical trials, which are better applied to one-size-fits-all treatments.[vii] ANALYSIS I. The State of Precision Medicine in Oncology and the Epistemological Shift While a thorough overview of precision medicine for the treatment of cancer is beyond the scope of this article, its practice can be roughly summarized as identifying clinically significant characteristics a patient possesses (e.g., genetic traits) to land on a specialized treatment option that, theoretically, should benefit the patient the most.[viii] However, in such a practice of stratification patients fall into smaller and smaller populations and the quality of evidence that can be applied to anyone outside these decreases in turn.[ix] As inductive logic helps to articulate, the greater the number of patients that respond to a particular therapy the higher the probability of its efficacy. By straying from this logical framework, precision medicine opens the treatment of cancer to more uncertainty about the validity of these approaches to the resulting disease subcategories.[x] Thus, while contemporary medical practices explicitly describe some treatments as “personalized”, they ought not be viewed as inherently better founded than other therapies.[xi] A relevant contemporary case of precision medicine out of Norway focuses on the care of a patient with cancer between the ventricles of the heart and esophagus, which had failed to respond to the standard regimen of therapies over four years.[xii] In a last-ditch effort, the patient elected to pay out-of-pocket for an experimental immunotherapy (nivolumab) at a private hospital. He experienced marked improvements and a reduction in the size of the tumor. Understandably, the patient tried to pursue further rounds of nivolumab at a public hospital. However, the hospital initially declined to pay for it given the “lack of evidence from randomised clinical trials for this drug relating to this [patient’s] condition.”[xiii] In rebuttal to this claim, the patient countered that he was actually similar to a subpopulation of patients who responded in “open‐label, single arm, phase 2 studies on another immune therapy drug” (pembrolizumab).[xiv] Given this interpretation of the prior studies and the patient’s response, further rounds of nivolumab were approved. Had the patient not had improvements in the tumor’s size following a round of nivolumab, then pembrolizumab’s prior empirical evidence in isolation would have been insufficient, inductively speaking, to justify his continued use of nivolumab.[xv] The case demonstrates a shift in reasoning from the traditional induction to abduction. The phenomenon of ‘cancer improvement’ is considered causally linked to nivolumab and its underlying physiological mechanisms.[xvi] However, “the weakness of abductions is that there may always be some other better, unknown explanation for an effect. The patient may for example belong to a special subgroup that spontaneously improves, or the change may be a placebo effect. This does not mean, however, that abductive inferences cannot be strong or reasonable, in the sense that they can make a conclusion probable.”[xvii] To demonstrate the limitations of relying on the abductive standard in isolation, commentators have pointed out that side effects in precision medicine are hard to rule out as being related to the initial intervention itself unless trends from a group of patients are taken into consideration.[xviii] As artificial intelligence (AI) assists the development of precision medicine for oncology, this uncertainty ought to be taken into consideration. The implementation of AI has been crucial to the development of precision medicine by providing a way to combine large patient datasets or a single patient with a large number of unique variables with machine learning to recommend matches based on statistics and probability of success upon which practitioners can base medical recommendations.[xix] The AI is usually not establishing a causal relationship[xx] – it is predicting. So, as AI bleeds into medical devices, like brain-computer interfaces, the same cautions about using abductive reasoning alone should be carried over. II. Responsive Neurostimulation, AI, and Personalized Medicine Like precision medicine in cancer treatment, computer-brain interface technology similarly focuses on the individual patient through personalized settings. In order to properly expose the intersection of AI, precision medicine, abductive reasoning, and implantable neurotechnologies, the descriptions of adaptive deep brain stimulation systems need to deepen.[xxi] As a broad summary of adaptive deep brain stimulation, to provide a patient with the therapeutic stimulation, a neural signal, typically referred to as a local field potential,[xxii] must first be detected and then interpreted by the device. The main adaptive deep brain stimulation device with premarket approval, the NeuroPace Responsive Neurostimulation system, is used to treat epilepsy by detecting and storing “programmer-defined phenomena.”[xxiii] Providers can optimize the detection settings of the device to align with the patient’s unique electrographic seizures as well as personalize the reacting stimulation’s parameters.[xxiv] The provider adjusts the technology based on trial and error. One day machine learning algorithms will be able to regularly aid this process in myriad ways, such as by identifying the specific stimulation settings a patient may respond to ahead of time based on their electrophysiological signatures.[xxv] Either way, with AI or programmers, adaptive neurostimulation technologies are individualized and therefore operate in line with precision medicine rather than standard treatments based on large clinical trials. Contemporary neurostimulation devices are not usually sophisticated enough to be prominent in AI discussions where the topics of neural networks, deep learning, generative models, and self-attention dominate the conversation. However, implantable high-density electrocorticography arrays (a much more sensitive version than adaptive deep brain stimulation systems use) have been used in combination with neural networks to help patients with neurologic deficits from a prior stroke “speak” through a virtual avatar.[xxvi] In some experimental situations, algorithms are optimizing stimulation parameters with increasing levels of independence.[xxvii] An example of neurostimulation that is analogous to the use of nivolumab in Norway surrounds a patient in the United States who was experiencing both treatment-resistant OCD and temporal lobe epilepsy.[xxviii]Given the refractory nature of her epilepsy, implantation of an adaptive deep brain stimulation system was indicated. As a form of experimental therapy, her treatment-resistant OCD was also indicated for the off-label use of an adaptive deep brain stimulation set-up. Another deep brain stimulation lead, other than the one implanted for epilepsy, was placed in the patient’s right nucleus accumbens and ventral pallidum region given the correlation these nuclei had with OCD symptoms in prior research. Following this, the patient underwent “1) ambulatory, patient-initiated magnet-swipe storage of data during moments of obsessive thoughts; (2) lab-based, naturalistic provocation of OCD-related distress (naturalistic provocation task); and (3) lab-based, VR [virtual reality] provocation of OCD-related distress (VR provocation task).”[xxix] Such signals were used to identify when to deliver the therapeutic stimulation in order to counter the OCD symptoms. Thankfully, following the procedure and calibration the patient exhibited marked improvements in their OCD symptoms and recently shared her results publicly.[xxx] In both cases, there is a similar level of abductive justification for the efficacy of the delivered therapy. In the case study in which the patient was treated with adaptive deep brain stimulation, they at least had their neural activity tested in various settings to determine the optimum parameters for treatment to avoid them being based on guesswork. Additionally, the adaptive deep brain stimulation lead was already placed before the calibration trials were conducted, meaning that the patient had already taken on the bulk of the procedural risk before the efficacy could be determined. Such an efficacy test could have been replicated in the first patient’s cancer treatment, had it been biopsied and tested against the remaining immunotherapies in vitro. Yet, in the case of cancer with few options, one previous dose of a drug that appeared to work on the patient may justify further doses. However, as the Norwegian case presents, corroboration with known responses to a similar drug (from a clinical trial) could be helpful to validate the treatment strategy. (It should be noted that both patients were resigned to these last resort options regardless of the efficacy of treatment.) There are some elements of inductive logic seen with adaptive deep brain stimulation research in general. For example, abductively the focus could be that patient X’s stimulation parameters are different from patient Y’s and patient Z’s. In contrast, when grouped as subjects who obtained personalized stimulation, patients X, Y, and Z demonstrate an inductive aspect to this approach’s safety and/or efficacy. The OCD case holds plenty of abductive characteristics in line with precision medicine’s approach to treating cancer and as more individuals try the method, there will be additional data. With the gradual integration of AI into brain-computer interfaces in the name of efficacy, this reliance on abduction will continue, if not grow, over time. Moving forward, if a responsive deep brain stimulation treatment is novel and individualized (like the dose of nivolumab) and there is some other suggestion of efficacy (like clinical similarities to other patients in the literature), then it may justify insurance coverage for the investigative intervention, absent other unrelated reasons to deny it. III. Ethical Implications and Next Steps While AI’s use in oncology and neurology is not yet as prominent as its use in other fields (e.g., radiology), it appears to be on the horizon for both.[xxxi] AI can be found in both the functioning of the neurotechnologies as well as the implementation of precision medicine. The increasing use of AI may serve to further individualize both oncologic and neurological therapies. Given these implications and the handful of publications cited in this article, it is important to have a nuanced evaluation of how these treatments, which heavily rely on abductive justification, ought to be managed. The just use an abductive approach may be difficult as AI infused precision medicine is further pursued. At baseline, such technology relies on a level of advanced technology literacy among the general public and could exclude populations who lack access to basic technological infrastructure or know-how from participation.[xxxii] Even among nations with adequate infrastructure, as more patients seek out implantable neurotechnologies, which require robust healthcare resources, the market will favor patient populations that can afford this complex care.[xxxiii] If patients already have the means to pay for an initial dose/use of a precision medicine product out of pocket, should insurance providers be required to cover subsequent treatments?[xxxiv] That is, if a first dose of a cancer drug or a deep brain stimulator over its initial battery life is successful, patients may feel justified in having the costs of further treatments covered. The Norwegian patient’s experience implies there is a precedent for the idea that some public insurance companies ought to cover successful cancer therapies, however, insurance companies may not all see themselves as obligated to cover neurotechnologies that rely on personalized settings or that are based on precision/abductive research more than on clinical trials. CONCLUSION The fact that the cases outlined above rely on abductive style of reasoning implies that there may not be as strong a justification for coverage by insurance, as they are both experimental and individualized, when compared to the more traditional large clinical trials in which groups have the same or a standardized protocol (settings/doses). If a study is examining the efficacy of a treatment with a large cohort of patients or with different experimental groups/phases, insurance companies may conclude that the resulting symptom improvements are more likely to be coming from the devices themselves. A preference for inductive justification may take priority when ruling in favor of funding someone’s continued use of an implantable neurostimulator. There are further nuances to this discussion surrounding the classifications of these interventions as research versus clinical care that warrant future exploration, since such a distinction is more of a scale[xxxv] than binary and could have significant impacts on the “right-to-try” approach to experimental therapies in the United States.[xxxvi] Namely, given the inherent limitations of conducting large cohort trials for deep brain stimulation interventions on patients with neuropsychiatric disorders, surgically innovative frameworks that blend abductive and inductive methodologies, like with sham stimulation phases, have traditionally been used.[xxxvii] Similarly, for adaptive brain-computer interface systems, if there are no large clinical trials and instead only publications that demonstrate that something similar worked for someone else, then, in addition to the evidence that the first treatment/dose worked for the patient in question, the balance of reasoning would be valid and arguably justify insurance coverage. As precision approaches to neurotechnology become more common, frameworks for evaluating efficacy will be crucial both for insurance coverage and for clinical decision making. ACKNOWLEDGEMENT This article was originally written as an assignment for Dr. Francis Shen’s “Bioethics & AI” course at Harvard’s Center for Bioethics. I would like to thank Dr. Shen for his comments as well as my colleagues in the Lázaro-Muñoz Lab for their feedback. - [i] Jonathan Kimmelman and Ian Tannock, “The Paradox of Precision Medicine,” Nature Reviews. Clinical Oncology 15, no. 6 (June 2018): 341–42, https://doi.org/10.1038/s41571-018-0016-0. [ii] Henrik Vogt and Bjørn Hofmann, “How Precision Medicine Changes Medical Epistemology: A Formative Case from Norway,” Journal of Evaluation in Clinical Practice 28, no. 6 (December 2022): 1205–12, https://doi.org/10.1111/jep.13649. [iii] David Barrett and Ahtisham Younas, “Induction, Deduction and Abduction,” Evidence-Based Nursing 27, no. 1 (January 1, 2024): 6–7, https://doi.org/10.1136/ebnurs-2023-103873. [iv] Vogt and Hofmann, “How Precision Medicine Changes Medical Epistemology,” 1208. [v] Wireko Andrew Awuah et al., “Bridging Minds and Machines: The Recent Advances of Brain-Computer Interfaces in Neurological and Neurosurgical Applications,” World Neurosurgery, May 22, 2024, S1878-8750(24)00867-2, https://doi.org/10.1016/j.wneu.2024.05.104. [vi] Mark Riedl, “A Very Gentle Introduction to Large Language Models without the Hype,” Medium (blog), May 25, 2023, https://mark-riedl.medium.com/a-very-gentle-introduction-to-large-language-models-without-the-hype-5 f67941fa59e. [vii] David E. Burdette and Barbara E. Swartz, “Chapter 4 - Responsive Neurostimulation,” in Neurostimulation for Epilepsy, ed. Vikram R. Rao (Academic Press, 2023), 97–132, https://doi.org/10.1016/B978-0-323-91702-5.00002-5. [viii] Kimmelman and Tannock, 2018. [ix] Kimmelman and Tannock, 2018. [x] Simon Lohse, “Mapping Uncertainty in Precision Medicine: A Systematic Scoping Review,” Journal of Evaluation in Clinical Practice 29, no. 3 (April 2023): 554–64, https://doi.org/10.1111/jep.13789. [xi] Kimmelman and Tannock, “The Paradox of Precision Medicine.” [xii] Vogt and Hofmann, 1206. [xiii] Vogt and Hofmann, 1206. [xiv] Vogt and Hofmann, 1206. [xv] Vogt and Hofmann, 1207. [xvi] Vogt and Hofmann, 1207. [xvii] Vogt and Hofmann, 1207. [xviii] Vogt and Hofmann, 1210. [xix] Mehar Sahu et al., “Chapter Three - Artificial Intelligence and Machine Learning in Precision Medicine: A Paradigm Shift in Big Data Analysis,” in Progress in Molecular Biology and Translational Science, ed. David B. Teplow, vol. 190, 1 vols., Precision Medicine (Academic Press, 2022), 57–100, https://doi.org/10.1016/bs.pmbts.2022.03.002. [xx] Stefan Feuerriegel et al., “Causal Machine Learning for Predicting Treatment Outcomes,” Nature Medicine 30, no. 4 (April 2024): 958–68, https://doi.org/10.1038/s41591-024-02902-1. [xxi] Sunderland Baker et al., “Ethical Considerations in Closed Loop Deep Brain Stimulation,” Deep Brain Stimulation 3 (October 1, 2023): 8–15, https://doi.org/10.1016/j.jdbs.2023.11.001. [xxii] David Haslacher et al., “AI for Brain-Computer Interfaces,” 2024, 7, https://doi.org/10.1016/bs.dnb.2024.02.003. [xxiii] Burdette and Swartz, “Chapter 4 - Responsive Neurostimulation,” 103–4; “Premarket Approval (PMA),” https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P100026. [xxiv] Burdette and Swartz, “Chapter 4 - Responsive Neurostimulation,” 104. [xxv] Burdette and Swartz, 126. [xxvi] Sean L. Metzger et al., “A High-Performance Neuroprosthesis for Speech Decoding and Avatar Control,” Nature 620, no. 7976 (August 2023): 1037–46, https://doi.org/10.1038/s41586-023-06443-4. [xxvii] Hao Fang and Yuxiao Yang, “Predictive Neuromodulation of Cingulo-Frontal Neural Dynamics in Major Depressive Disorder Using a Brain-Computer Interface System: A Simulation Study,” Frontiers in Computational Neuroscience 17 (March 6, 2023), https://doi.org/10.3389/fncom.2023.1119685; Mahsa Malekmohammadi et al., “Kinematic Adaptive Deep Brain Stimulation for Resting Tremor in Parkinson’s Disease,” Movement Disorders 31, no. 3 (2016): 426–28, https://doi.org/10.1002/mds.26482. [xxviii] Young-Hoon Nho et al., “Responsive Deep Brain Stimulation Guided by Ventral Striatal Electrophysiology of Obsession Durably Ameliorates Compulsion,” Neuron 0, no. 0 (October 20, 2023), https://doi.org/10.1016/j.neuron.2023.09.034. [xxix] Nho et al. [xxx] Nho et al.; Erik Robinson, “Brain Implant at OHSU Successfully Controls Both Seizures and OCD,” OHSU News, accessed March 3, 2024, https://news.ohsu.edu/2023/10/25/brain-implant-at-ohsu-successfully-controls-both-seizures-and-ocd. [xxxi] Awuah et al., “Bridging Minds and Machines”; Haslacher et al., “AI for Brain-Computer Interfaces.” [xxxii] Awuah et al., “Bridging Minds and Machines.” [xxxiii] Sara Green, Barbara Prainsack, and Maya Sabatello, “The Roots of (in)Equity in Precision Medicine: Gaps in the Discourse,” Personalized Medicine 21, no. 1 (January 2024): 5–9, https://doi.org/10.2217/pme-2023-0097. [xxxiv] Green, Prainsack, and Sabatello, 7. [xxxv] Robyn Bluhm and Kirstin Borgerson, “An Epistemic Argument for Research-Practice Integration in Medicine,” The Journal of Medicine and Philosophy: A Forum for Bioethics and Philosophy of Medicine 43, no. 4 (July 9, 2018): 469–84, https://doi.org/10.1093/jmp/jhy009. [xxxvi] Vijay Mahant, “‘Right-to-Try’ Experimental Drugs: An Overview,” Journal of Translational Medicine 18 (June 23, 2020): 253, https://doi.org/10.1186/s12967-020-02427-4. [xxxvii] Michael S. Okun et al., “Deep Brain Stimulation in the Internal Capsule and Nucleus Accumbens Region: Responses Observed during Active and Sham Programming,” Journal of Neurology, Neurosurgery & Psychiatry 78, no. 3 (March 1, 2007): 310–14, https://doi.org/10.1136/jnnp.2006.095315. (shrink)

INTRODUCTION ". . . a universe unfinished, with doors and windows open to possibilities uncontrollable in advance." A possibility which William James would ...

Humility holds a modest but important place among the judicial virtues. But in spite of its growing popularity, it does not yet have a place on the ‘central judicial virtues’ lists. This paper provides an argument that judicial humility, especially institutional judicial humility, should be considered a necessary judicial virtue at least in common-law jurisdictions. This is because it is a necessary ingredient in precedent-based decisions that are fully justified from the point of view of the law and of political (...) morality. Further, while it is sufficient that individual judges make decisions that a humble judge would have made, the judicial community must in fact be humble in order to produce fully justified common-law decisions – humility is therefore necessary as a community-virtue. (shrink)

Martin Heidegger’s existential account of care in _Being and Time_ (2010) provides us with an opportunity to reimagine what the proper theoretical grounding of an ethic of care might be. Heidegger’s account of care serves to deconstruct the two primary foundations that an ethic of care is often based upon. Namely, that we are inevitably interdependent upon one another and/or possess an innate disposition to care for fellow humans in need. Heidegger’s account reveals that both positions are founded upon an (...) ontic (meaning factual existence), as opposed to an ontological (which refers to the nature of being), understanding of care. The distinctions between an ontic and ontological understanding of care are significant. Yet, I maintain that they are not completely incompatible. Both Heidegger and care ethicists contend that our existence with others is understood through a relational ontology. Furthermore, there are certain ontological structures from Heidegger which resonate with an ethic of care. Two key existential structures are leaping-ahead and being-guilty. These existential structures are latent in care ethics, and by explicitly revealing them I reinforce the connection between Heidegger’s account and care theory. Lastly, I develop the theoretical foundations of care ethics by proposing an existential ethic of care. (shrink)

The language of Greek Tragedy can be considered as a whole by virtue of the characteristics which distinguish it from that of other branches of Greek literature, and the resemblance between the three tragedians in this respect is more noticeable than the differences. Still, if we compare Aeschylus and Euripides it is impossible not to feel a marked change of tone, in λ⋯ξις as in δι⋯νοια and ἤθη. As in E. the familiar legends are frequently set in a more everyday (...) atmosphere and the characters cast in a less heroic mould, it is natural that the tone of the language should be lowered, partly by the frequent use of distinctively prosaic expressions and partly by the introduction of what appear to be colloquialisms. This change of tone in language was at once noted by Aristophanes and is referred to by Aristotle as an innovation of E. On the other hand E.'s style presents a certain anomaly, since while deliberately securing a closer approximation to the language of prose and ordinary conversation he also shows a poetic and archaizing tendency in the use of Aeschylean and Homeric words and forms not found in Sophocles. This may be due to a reluctance to depart too far from the poetic tradition of Greek tragedy, and possibly to a scholar's interest in the language of Aeschylus and Homer, in a minor degree a foreshadowing of the learned archaism of the Alexandrian poets. (shrink)

Is argumentation essentially adversarial? The concept of a devil's advocate—a cooperative arguer who assumes the role of an opponent for the sake of the argument—serves as a lens to bring into clearer focus the ways that adversarial arguers can be virtuous and adversariality itself can contribute to argumentation's goals. It also shows the different ways arguments can be adversarial and the different ways that argumentation can be said to be "essentially" adversarial.

We assert that audit quality can be improved to the extent that social norms for honesty and responsibility are activated in the auditor. To test this assertion, we use an experimental audit market setting found in the literature and manipulate factors expected to activate honesty and responsibility norms in the auditor. We find that auditor misreporting is reduced when the investor is another participant in the experiment rather than computer simulated, and thus, the interests of third-party investors are salient to (...) the auditor. We also find that auditor misreporting is reduced when the auditor is required to sign-off on the audit report, but only when the investor is another participant in the experiment. Consistent with our underlying theory, we find that pre-experimental measures of sensitivity to honesty and responsibility norms help explain the effects of our manipulated variables. Finally, we find that these measures of social norm sensitivity are associated with the moral judgment that auditor misreporting is unethical. Our study helps explain previous anomalous findings in the literature and answers the call in Blay et al. (J Bus Ethics 2017. doi:10.1007/s10551-016-3286-4) for empirical researchers to use social norm theory to develop stronger tests of moral reasoning in the market for auditing services. (shrink)

Gender inequity is a persistent problem in the United States. While the high school social studies classroom should be an important space for addressing gender inequity, there is significant underrepresentation of women in the curriculum. Thus, it is crucial that we understand how self-described feminist social studies teachers present women and gender-equity in their classrooms. In this mixed-methods study, the researchers examined the beliefs and practices of six feminist-identifying teachers. The results reveal commonalities across teachers related to classroom discourses, curricular (...) modifications, and professional practice, yet there were compelling differences based on whether or not the teacher subscribed to a critical feminist perspective or a liberal feminist perspective. While all the teachers in the study saw themselves as change agents, teachers who operated from a critical feminist lens focused more on structural gender inequity as a means to eliminate sexism, whereas teachers who operated from a liberal lens focused more on individual acts of sexism and greater inclusion of women—often individual women—in the curriculum. This study contributes to the scarce research on feminism in social studies and provides tools for practitioners who want practices that are more inclusive. (shrink)

ABSTRACT This paper contributes to the debate about the strawman fallacy. It is the received view that strawmen are employed to fool not the arguer whose argument they distort, but instead a third party, an audience. I argue that strawmen that fool their victims exist and are an important variation of the strawman fallacy because of their special perniciousness. I show that those who are subject to hermeneutical lacunae or who have since forgotten parts of justifications they have provided earlier (...) are especially vulnerable to falling for strawmen aimed at their own positions or arguments. Adversarial argumentation provides especially fertile ground for strawmen that fool their own victims, but cooperative argumentation is no fail-safe protection from them either. (shrink)

This article presents the first results of a study of the decisions made by health professionals in South Australia concerning the management of death, dying, and euthanasia, and focuses on the findings concerning the attitudes and practices of medical practitioners. Mail-back, self-administered questionnaires were posted in August 1991 to a ten per cent sample of 494 medical practitioners in South Australia randomly selected from the list published by the Medical Board of South Australia. A total response rate of 68 per (...) cent was obtained, 60 per cent of which (298) were usable returns. It was found that forty-seven per cent had received requests from patients to hasten their deaths. Nineteen per cent had taken active steps which had brought about the death of a patient. Sixty-eight per cent thought that guidelines for withholding and withdrawal of treatment should be established. Forty-five per cent were in favour of legalisation of active euthanasia under certain circumstances. (shrink)

Arguments involve, at minimum, attempts at presenting something that an audience will take to be a reason. Reasons, once understood, affect an addressee’s beliefs in ways that are in some significant sense outside of their direct voluntary control. Since such changes may impact the well-being, life projects, or sense of self of the addressee, they risk infringing upon their autonomy. We call this the “autonomy worry” of argumentation. In light of this worry, this paper asks whether one ought to seek (...) an addressee’s consent before arguing with them. We first consider the view that arguing of any sort and on any topic requires consent. However, such a view is extreme, and we reject the general requirement of consent because argument contains its own internal permission structure. We find, however, that this permission structure is not always operative, and that consent may nonetheless be morally required in certain kinds of cases. (shrink)