Bryce, Ian There has been vigorous discussion between State Humanist societies, about whether ethics should be taught by volunteers, and in the Religious Instruction timeslot, if that is the only option.

Bryce, Ian As part of the CAHS Convention in May this year, I organised a Panel discussion entitled 'Ethics Education Initiatives in Australia'. It was to take advantage of the presence in Sydney of Humanist Society delegates from interstate, and acquaint them with the success story of the NSW Primary Ethics program.

Bryce, Ian Robertson's talk was an analysis of the legal positions around many of the crimes of organised religion, and consequent legal actions already in progress or possible in the future.

Bryce, Ian The following are my personal observations based on several visits to public hearings of the Royal Commission into Institutional Responses to Child Sexual Abuse. I've also included media reports, and what I've learnt from contacts with interest groups. I recommend others sit in a public hearing for a day, to see the system in action.

Bryce, Ian At a World Humanism Day seminar held at Parliament House, Sydney, the theme was the role of the Enlightenment in the development of humanist thought. My new role as President of HSNSW has led me to reflect further on the journeys many made from the physical sciences to the social sciences.

Love, fear, hope, calculus, and game shows-how do all these spring from a few delicate pounds of meat? Neurophysiologist Ian Glynn lays the foundation for answering this question in his expansive An Anatomy of Thought, but stops short of committing to one particular theory. The book is a pleasant challenge, presenting the reader with the latest research and thinking about neuroscience and how it relates to various models of consciousness. Combining the aim of a textbook with the style of a (...) popularization, it provides all the lay reader needs to know to participate in the philosophical debate that is redefining our attitudes about our minds. Drawing on the rich history of neurological case studies, Glynn picks through the building blocks of our nervous system, examines our visual and linguistic systems, and probes deeply into our higher thought processes. The stories of great scientists, like Ramon y Cajal, and famous patients, like Sperry's split-brained epileptics, illuminate the scientific issues Glynn selects as essential for understanding consciousness. Some might argue that his lengthy explorations of natural selection overemphasize evolutionary explanations of psychological phenomena, but they must also agree that evolutionary psychology has distanced itself mightily from social Darwinism in recent years and merits a reappraisal. The great consciousness debate may form the core of the 21st-century Zeitgeist; get ready for it with An Anatomy of Thought. -Rob Lightner From Publishers Weekly How do we know? What do we think? How could a philosophical problem-'the mind-body problem,' say-induce a headache? What can evolutionary theory, molecular biology, the history of medicine and experimental psychology tell us about the features of human consciousness, and (once again) how do we know? Glynn, a physician and Cambridge University professor, meticulously attempts to answer these questions and more, setting forth the results of all sorts of research relevant to our brains-from 19th-century dissections to Oliver Sacks-like case studies, work with monkeys and supercomputers, and the enduring puzzles of philosophy, which he rightly saves for near the end. After explaining evolution by natural selection and 'clearing away much dross,' Glynn lays out the experiments and theories that have shown 'how nerve cells can carry information about the body, how they can interact' and how sense organs work; demonstrates the 'mixture of parallel and hierarchical organization' in our brains and 'the striking localization of function within it'; considers where neuroscience is likely to go; and admits that, among the many fields of exciting research just ahead, 'we can be least confident of progress toward a complete, scientific explanation of our sensations and thoughts and feelings.' Other recent explaining-the-brain books have sometimes advanced simplistic, or implausibly grand, claims about the nature and features of consciousness in general. Instead, Glynn offers a patient, informative, well-laid-out researcher's-eye view of what we have learned, how we figured it out and what we still don't know about neurons, senses, feelings, brains and minds. (Apr.) Copyright 2000 Reed Business Information, Inc. From Library Journal The nature of consciousness, which perennially troubles the minds of scientists and philosophers, is the subject of an ever-growing body of literature. Two of the latest entries approach the topic from different perspectives. Glynn, a professor of physiology and head of the Physiological Laboratory at Cambridge, offers a comprehensive summary of what we know about the brain-both its evolution and its mechanisms. Among the topics he covers are natural selection, molecular evolution, nerves and the nervous system, sensory perception, and the specific structures responsible for our intellect. Using the mechanisms involved in vision and speech as models, Glynn skillfully describes various neurological deficiencies that can lead to 'disordered seeing' and problems with the use of language. He carefully distinguishes what we know through experimental evidence from what we know through the observation of patients with neurological damage. He also describes some of the major theories that attempt to explain why these structures arose. While his book concentrates on the structures that make up the mind, Glynn is well aware that some physical events appear explicable only in terms of conscious mental events-a situation that conflicts with the laws of modern physics. Only briefly, however, does he consider the various approaches that have been taken to deal with the issues of mind/body and free will. In contrast, this is the primary focus of The Physics of Consciousness. After reviewing the fundamentals of classic physics, Walker (who has a Ph.D. in physics) summarizes elements of the new physics in which our knowledge of space, time, matter, and energy are all dependent on the moment of observation. Walker explores the meaning of consciousness as a characteristic of the observer. In this context both the observer and the act of measurement are critical. In essence, Walker leads his reader on a journey through his concept of a 'quantum mind,' which can both affect matter (including other minds) and can be affected by other distant matter/minds. To break up what would otherwise be an extremely dense text, Walker also relates the very touching story of the loss of his high-school sweetheart to leukemia. Indeed, it is his memory of their relationship that drives Walker to seek an understanding of ultimate reality. At times, he has a tendency to be dogmatic-as when he concludes, 'our consciousness, our mind, and the will of God are the same mind.' While An Anatomy of Thought is appropriate for most academic libraries, the Physics of Consciousness will be most accessible to readers with some knowledge of advanced physics. -Laurie Bartolini, Illinois State Lib., Springfield Copyright 2000 Reed Business Information, Inc. From Booklist The codiscoverers of natural selection-Charles Darwin and Alfred Wallace-disagreed over the possibility of finding an evolutionary explanation for the human mind. Glynn here argues Darwin's side of the debate, tracing an eons-long path of development starting from simple amino acids floating in primal seas and extending through the erect hominids in which the powers of a massive brain first manifest themselves. Patiently adducing evidence of an evolutionary origin for the underlying molecular machinery, Glynn dissects the nerve centers that make possible speech and hearing, sight, and reading. Pressing deeper, he lays bare the cortical foundations of personality. But those who deal with the mind must attend also to the arguments advanced by philosophers. And it is when he turns from dendrites to syllogisms (especially the vexing mind-body paradox) that Glynn's empirical reasoning fails him. In the end, he concedes his perplexity in trying to conceive of an evolutionary origin for human consciousness. This concession may set the shade of Alfred Wallace to chortling, but it will draw readers into an honest confrontation with a profound enigma. Bryce Christensen. (shrink)

Especially troublesome in this dispute is the status of the natural sciences, and this is where Hacking finds some of his most telling cases, from the conflict ...

Hugh Everett’s “Universal Wave Theory Formulation of Quantum Mechanics”, though endorsed and promoted by his mentor John Wheeler, was dismissed by the mainstream in quantum mechanics. Why was it sidelined by those who endorsed the Copenhagen interpretation and John von Neumann’s approach to the famous measurement problem? Everett’s theory was taken up later by Bryce DeWitt under an interpretation, the many worlds universe theory, that is not actually how Everett interpreted his own formulation. I argue that by looking at (...) science as a social institution according to Ian C. Jarvie’s critique of Karl Popper’s view of science as a “Republic,” we can see how Everett was sidelined: external pressures of the Cold War and McCarthy and internal pressures of Big Science and the “military-industrial complex.”. (shrink)

One of Ian Hacking's earliest publications, this book showcases his early ideas on the central concepts and questions surrounding statistical reasoning. He explores the basic principles of statistical reasoning and tests them, both at a philosophical level and in terms of their practical consequences for statisticians. Presented in a fresh twenty-first-century series livery, and including a specially commissioned preface written by Jan-Willem Romeijn, illuminating its enduring importance and relevance to philosophical enquiry, Hacking's influential and original work has been revived for (...) a new generation of readers. (shrink)

Some evil actions are public. Maybe genocide is the most awful. Other evil actions are private, a matter of one person harming another or of self-inflicted injury. Child abuse, in our current reckoning, is the worst of private evils. We want to put a stop to it. We know we can’t do that, not entirely. Human wickedness won’t go away. But we must protect as many children as we can. We want also to discover and help those who have already (...) been hurt. Anyone who feels differently is already something of a monster.We are so sure of these moral truths that we seldom pause to wonder what child abuse is. We know we don’t understand it. We have little idea of what prompts people to harm children. But we do have the sense that what we mean by child abuse is something perfectly definite. So it comes as a surprise that the very idea of child abuse has been in constant flux the past thirty years. Previously our present conception of abusing a child did not even exist. People do many of the same vile things to children, for sure, that they did a century ago. But we’ve been almost unwittingly changing the very definitions of abuse and revising our values and our moral codes accordingly. Ian Hacking, a philosopher, teaches at the Institute for the History and Philosophy of Science and Technology in the University of Toronto. His latest book is entitled The Taming of Chance. (shrink)

We have two aims in this paper. The first is to provide the reader with a critical guide to recent work on relativity and persistence by Balashov, Gilmore and others. Much of this work investigates whether endurantism can be sustained in the context of relativity. Several arguments have been advanced that aim to show that it cannot. We find these unpersuasive, and will add our own criticisms to those we review. Our second aim, which complements the first, is to demarcate (...) the most defensible form of relativistic endurantism. A recurring theme of this paper is that even those philosophers who do worry about relativity have not taken it seriously enough. (shrink)

How must experience of time be structured in time? In particular, does the following principle, which I will call inheritance, hold: for any temporal property apparently presented in perceptual experience, experience itself has that same temporal property. For instance, if I hear Paul McCartney singing ‘Hey Jude’, must my auditory experience of the ‘Hey’ itself precede my auditory experience of the ‘Jude’, or can the temporal order of these experiences come apart from the order the words are experienced as having? (...) A number of recent authors (Phillips Experience and Time, ‘The Temporal Structure of Experience’, Soteriou ‘Perceiving Events’, Hoerl ‘“A Succession of Feelings, in and of Itself, is Not a Feeling of Succession”’, Rashbrook) claim, to paraphrase Martin (399), that inheritance best characterises how our temporal experience seems to initial reflective intuition. For this reason, Phillips takes the principle to form part of our naïve view of temporal experience. An opposing group of theorists object that inheritance is subject to empirical counter-example. This article surveys such challenges. Section 2 considers Grush's case against inheritance based on postdiction. Section 3 examines Watzl's anti-inheritance argument based on silencing effects. Finally, Section 4 explores a number of alleged counter-examples proposed by Lee (‘Temporal Experience and the Temporal Structure of Experience’). Section 1 provides essential background to the debate. (shrink)

A great achievement makes one’s life go better independently of its results, but what makes an achievement great? A simple answer is—its difficulty. I defend this view against recent, pressing objections by interpreting difficulty in terms of competitiveness. Difficulty is determined not by how hard the agent worked for the end but by how hard others would need to do in order to compete. Successfully reaching a goal is a valuable achievement because it is difficult, and it is difficult because (...) it is competitive. Hence, both virtuosic performances and lucky successes can be valuable achievements. (shrink)

Where do political identities come from, how do they change over time, and what is their impact on political life? This book explores these and related questions in a globalizing world where the nation state is being transformed, definitions of citizenship are evolving in unprecedented ways, and people's interests and identities are taking on new local, regional, transnational, cosmopolitan, and even imperial configurations. Pre-eminent scholars examine the changing character of identities, affiliations, and allegiances in a variety of contexts: the evolving (...) character of the European Union and its member countries, the Balkans and other new democracies of the post-1989 world, and debates about citizenship and cultural identity in the modern West. These essays are essential reading for anyone interested in the political and intellectual ferment that surrounds debates about political membership and attachment, and will be of interest to students and scholars in the social sciences, humanities, and law. (shrink)

Plato of Athens, who laid the foundations of the Western philosophical tradition and in range and depth ranks among its greatest practitioners, was born to a prosperous and politically active family circa 427 BC. In early life an admirer of Socrates, Plato later founded the first institution of higher learning in the West, the Academy, among whose many notable alumni was Aristotle. Traditionally ascribed to Plato are thirty-five dialogues developing Socrates' dialectic method and composed with great stylistic virtuosity, together with (...) the Apology and thirteen letters. The four works in this volume recount the circumstances of Socrates' trial and execution in 399 BC. In Euthyphro, set in the weeks before the trial, Socrates and Euthyphro attempt to define holiness. In Apology, Socrates answers his accusers at trial and unapologetically defends his philosophical career. In Crito, a discussion of justice and injustice explains Socrates' refusal of Crito's offer to finance his escape from prison. And in Phaedo, Socrates discusses the concept of an afterlife and offers arguments for the immortality of the soul. This edition, which replaces the original Loeb edition by Harold North Fowler, offers text, translation, and annotation that are fully current with modern scholarship." -- Publisher's description. (shrink)

Tradition has it that, although we experience darkness, we can neither hear nor hallucinate silence. At most, we hear that it is silent, in virtue of lacking auditory experience. This cognitive view is at odds with our ordinary thought and talk. Yet it is not easy to vouchsafe the perception of silence: Sorensen‘s recent account entails the implausible claim that the permanently and profoundly deaf are perpetually hallucinating silence. To better defend the view that we can genuinely hear and hallucinate (...) silence, we must reject the austere picture of conscious experience which underpins the cognitive theory. According to that picture, conscious experience is a simple relation between subjects and objects. In the absence of an object, there is no relation, and so no experience. By enriching this picture, room can be found for the experience of silence. I explore this idea in two phases. First, I defend the thought that we can hear and hallucinate certain forms of silence, such as pauses, in virtue of experiencing contrastive sounds. Second, I draw on Moore‘s analysis of sensation to suggest that simply experiencing silence is a special form of objectless consciousness. I offer two ways of fleshing out this idea. According to the first, auditory experience possesses a temporal field within which the absence of sounds can be perceived. According to the second, purely Moorean account, it is our capacity to listen in the absence of sounds that underlies the phenomenon of experiencing silence. (shrink)

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. 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Since the 1960s a resurgence of interest in the moral foundations of politics has fueled debates about the appropriate sources of our political judgments. Ian Shapiro analyzes and advances these debates, discussing them in an accessibly style. He defends a view of politics called _critical naturalism_ as a third way between the neo-Kantian theory of John Rawl's and the contextual arguments of Richard Rorty, Michael Walzer, Alasdair MacIntyre and others. He formulates a new justification for democratic politics and an innovative (...) account of the nature of political argument. (shrink)

Education has recently been shaped by the cognitive science of memory. In turn, the science of memory has been infused by revolutionary ideas found in Wittgenstein’s works. However, the memory science presently applied to education draws mainly on traditional models that are quickly becoming outmoded; Wittgenstein’s insights have yet to be fruitfully applied, though they have helped to develop the science of memory. In this chapter, I examine three Wittgensteinian reforms in memory science as they pertain to education . First, (...) Wittgenstein has inspired a particular strain of enactive models of memory and cognition, with important implications for theories of situated learning in education. Second, researchers have begun modeling memory as public practice , which deeply informs, inter alia, fraught theoretical discussions of assessment. Third, a number of memory researchers have rejected models based on a stored trace, a fundamental, Wittgensteinian revision with broad implications for characterizations of learning. (shrink)

Why does it seem better to be a pauper who becomes a king rather than a king who becomes a pauper even when each life contains an equivalent sum of goods to the other? Many argue that only the pauper-to-king life can be told as a redemption story and that it is good for you to live a redemption story. This paper calls that explanation into question and proposes an alternative: upward-trending lives reveal growth. I argue that growth is a (...) valuable feature of a life, that redemption is not, and that growth explains intuitions cited in favor of redemption. (shrink)

In this paper, I assume, perhaps controversially, that translation into a language of formal logic is not the method by which mathematicians assess mathematical reasoning. Instead, I argue that the actual practice of analyzing, evaluating and critiquing mathematical reasoning resembles, and perhaps equates with, the practice of informal logic or argumentation theory. It doesn’t matter whether the reasoning is a full-fledged mathematical proof or merely some non-deductive mathematical justification: in either case, the methodology of assessment overlaps to a large extent (...) with argument assessment in non-mathematical contexts. I demonstrate this claim by considering the assessment of axiomatic or deductive proofs, probabilistic evidence, computer-aided proofs, and the acceptance of axioms. I also consider Jody Azzouni’s ‘derivation indicator’ view of proofs because it places derivations—which may be thought to invoke formal logic—at the center of mathematical justificatory practice. However, when the notion of ‘derivation’ at work in Azzouni’s view is clarified, it is seen to accord with, rather than to count against, the informal logical view I support. Finally, I pose several open questions for the development of a theory of mathematical argument. (shrink)

Alcohol is a class 1 carcinogen, and its use, at any level, is not safe for health. Despite this, alcohol remains strongly mixed into medical culture and is often served free at medical‐community events. This presents numerous ethical concerns. First, the funding of alcohol‐centered events by the medical community reinforces alcohol consumption as a coping mechanism for stress, perpetuates the perceived need for alcohol for socialization, and falsely implies that it is a safe substance. Additionally, the medical community is increasingly (...) diverse, including Muslims, Mormons, those in recovery from substance use disorders, pregnant individuals, and individuals from homes and communities damaged by alcohol. Due to their moral or safety concerns, these individuals may miss opportunities to network and engage in professional development when alcohol is present. Therefore, alcohol acts as a barrier to diversity, equity, and inclusion efforts and can result in pernicious downstream effects for minority patient populations. (shrink)

This is a major work by Ian Maclean exploring the foundations of learning in the Renaissance. Logic, Signs and Nature offers a profoundly learned, compelling and original account of the range of what was thinkable and knowable by learned medics of the period c.1530-1630. This is a study of great significance to the history of medicine, as well as the history of European ideas in general.

Controversial and amusing, this collection of Kennedy's writings illuminates the rights, duties, and liabilities of doctors as well as other aspects of medical law and ethics.

Designed specifically for students with no background knowledge in the subject, this accessible introduction covers all of the basic concepts and major theories in the philosophy of mind. Topics discussed include dualism, behaviorism, the identity theory, functionalism, the computational theory of mind, connectionism, physicalism, mental causation, and consciousness. The text is enhanced by chapter summaries, a glossary, suggestions for further reading, and self-assessment questions.

Most contemporary approaches to meaning presume the limitation of semiotics (Didi-Huberman, Gumbrecht, Belting). The question of what kind of “semiotics” is required has not been asked. However, without some general science of meaning it is impossible to reform theory without committing past errors or ignoring progress. In the interest of reconnecting contemporary interests in “presence” to long-evolving needs, I review the ossification and decline of one theory of semiotics that serves as the tacit model rejected today. I return to problems (...) of the nature of the sign – whether it is “digital” or “analog” and conceived as “communication” or merely “meaning.” I then reconstitute a workable visual cognitive semiotics based on phenomenological premises. (shrink)

This monograph presents a synthesis and reconstruction of Rudolf Arnheim’s theory of media. Combining both Arnheim’s well-known writings on film and radio with his later work on the psychology of art, the author presents a coherent approach to the problem of the nature of a medium, space and time, and the differentia between different media. The latent ontological commitments of Arnheim’s theories is drawn out by affirming Arnheim’s membership in the Brentano school of Austrian philosophy, which allows his theories to (...) be clarified and strengthened, particularly with the metaphysical writings of Roman Ingarden. The resulting theory is relational, portraying essential medial differences with neutral criteria and allowing for a rigorous definition of a medium. The way in which a medium is based on the inherent dispositions of medial materials creates a highly appealing theory that is determinate without being deterministic. The theory is thus highly timely as people in media studies seek to address the determinate nature of media after the post-medium condition. The book will appeal to researchers and graduate students in cultural and media studies as well as architecture and design. (shrink)

The authors draw on literary theory, anthropology and sociology in order to construct alternative ways of reading and writing educational research, and come to terms with postmodernism and deconstruction.

This volume provides an authoritative account of the current status of archaeological theory, as presented by some of its major exponents and innovators over ...

This chapter introduces the two main philosophical questions that are raised by the prospect of extinct species being brought back from the dead—namely, the ‘Authenticity Question’ and the ‘Ethical Question’. It distinguishes different types of de-extinction, and different methods by which de-extinction can be accomplished. Finally, it examines the aims of wildlife conservation with a view to whether they are compatible with de-extinction, or not.

In this paper, I argue that John Milton, in his tragedy Smason Agonistes, raises and offers a solution to a version of the problem of evil raised by Marilyn McCord Adams. Sections I and II are devoted to the presentation of Adams’s version of the problem and its place in the current discussion of the problem of evil. In section III, I present Milton’s version of the problem as it is raised in Samson Agonistes. The solution Milton offers to this (...) problem is taken up in section IV and examined in section V. Last, in section VI, I explore briefly the existential aspect of Milton’s solution. (shrink)

L'évêque anglican Joseph Butler proclama, au XVIIIe siècle, que " la probabilité est le guide même de la vie ". Aujourd'hui, probabilités et statistiques ont envahi quasiment tous les domaines de nos vies privées et publiques. Les politiques gardent les yeux rivés sur les sondages, les organismes de retraite nous annoncent des années noires au vu des courbes démographiques, et dans l'intimité de nos salles de bains, perchés sur la balance, nous nous demandons si notre poids est conforme à la (...) moyenne. Dans le domaine scientifique, l'usage de la probabilité semble avoir détrôné un goût de la certitude plus cartésien : l'irruption de la mécanique quantique et de sa fameuse fonction d'onde a fait couler des fleuves d'encre philosophique. Mais une querelle d'interprétation continue à opposer deux conceptions irréductibles : selon l'une, la probabilité est une affaire foncièrement subjective qui relève essentiellement de l'état des croyances de chacun ; selon l'autre, elle est avant tout une question objective relative à la fréquence d'apparition de phénomènes dits aléatoires. De ce concept essentiel et délicat, Ian Hacking tente ici l'archéologie. Comment la probabilité a-t-elle pu devenir aussi envahissante, en politique comme en science, et qu'a-t-elle à voir avec l'opinion? Comment une notion apparemment aussi fugace est-elle devenue l'objet d'un calcul? Quels défis lance-t-elle au raisonnement et à la logique? Dans cette quête aux allures de roman policier, Pascal, Leibniz ou Huygens côtoient des politiques mettant en place un système de rentes à vie, des amateurs tentant de déceler dans des épidémies un ordre sous-jacent, des joueurs impénitents et des inconditionnels de la loterie. (shrink)