Recent research in computational neuroscience has demonstrated that we now possess the ability to simulate neural systems in significant detail and on a large scale. Simulations on the scale of a human brain have recently been reported. The ability to simulate entire brains (or significant portions thereof) would be a revolutionary scientific advance, with substantial benefits for brain science. However, the prospect of whole-brain simulation comes with a set of new and unique ethical questions. In the present paper, we briefly (...) outline certain of those problems and emphasize the need to begin considering the ethical aspects of computational neuroscience. (shrink)

The counterfactual and regularity theories are universal accounts of causation. I argue that these should be generalized to produce local accounts of causation. A hallmark of universal accounts of causation is the assumption that apparent variation in causation between locations must be explained by differences in background causal conditions, by features of the causal-nexus or causing-complex. The local account of causation presented here rejects this assumption, allowing for genuine variation in causation to be explained by differences in location. I argue (...) that local accounts of causation are plausible, and have pragmatic, empirical and theoretical advantages over universal accounts. I then report on the use of presheaves as models of local causation. The use of presheaves as models of local variation has precedents in algebraic geometry, category theory and physics; they are here used as models of local causal variation. The paper presents this idea as stemming from an approach using presheaves as models of local truth. Finally, I argue that a proper balance between universal and local causation can be assuaged by moving from presheaves to fully-fledged sheaf models. (shrink)

The current conception of the plurality of worlds is founded on a set theoretic understanding of possibilia. This paper provides an alternative category theoretic conception and argues that it is at least as serviceable for our understanding of possibilia. In addition to or instead of the notion of possibilia conceived as possible objects or possible individuals, this alternative to set theoretic modal realism requires the notion of possible morphisms, conceived as possible changes, processes or transformations. To support this alternative conception (...) of the plurality of worlds, I provide two examples where a category theoretic account can do work traditionally done by the set theoretic account: one on modal logic and another on paradoxes of size. I argue that the categorial account works at least as well as the set theoretic account, and moreover suggest that it has something to add in each case: it makes apparent avenues of inquiry that were obscured, if not invisible, on the set theoretic account. I conclude with a plea for epistemological humility about our acceptance of either a category-like or set-like realist ontology of modality. (shrink)

We argue that artificial networks are explainable and offer a novel theory of interpretability. Two sets of conceptual questions are prominent in theoretical engagements with artificial neural networks, especially in the context of medical artificial intelligence: Are networks explainable, and if so, what does it mean to explain the output of a network? And what does it mean for a network to be interpretable? We argue that accounts of “explanation” tailored specifically to neural networks have ineffectively reinvented the wheel. In (...) response to, we show how four familiar accounts of explanation apply to neural networks as they would to any scientific phenomenon. We diagnose the confusion about explaining neural networks within the machine learning literature as an equivocation on “explainability,” “understandability” and “interpretability.” To remedy this, we distinguish between these notions, and answer by offering a theory and typology of interpretation in machine learning. Interpretation is something one does to an explanation with the aim of producing another, more understandable, explanation. As with explanation, there are various concepts and methods involved in interpretation: Total or Partial, Global or Local, and Approximative or Isomorphic. Our account of “interpretability” is consistent with uses in the machine learning literature, in keeping with the philosophy of explanation and understanding, and pays special attention to medical artificial intelligence systems. (shrink)

Traditional epistemic and doxastic logics cannot deal with inconsistent beliefs nor do they represent the evidence an agent possesses. So-called ‘evidence logics’ have been introduced to deal with both of those issues. The semantics of these logics are based on neighbourhood or hypergraph frames. The neighbourhoods of a world represent the basic evidence available to an agent. On one view, beliefs supported by evidence are propositions derived from all maximally consistent collections evidence. An alternative concept of beliefs takes them to (...) be propositions derivable from consistent partitions of one’s inconsistent evidence; this is known as Schotch-Jennings Forcing. This paper develops a modal logic based on the hypergraph semantics to represent Schotch-Jennings Forcing. The modal language includes an operator U(φ1,…,φn;ψ)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$U(\varphi _1, \ldots, \varphi _n;\psi )$$\end{document} which is similar to one introduced in Instantial Neighbourhood Logic. It is of variable arity and the input formulas enjoy distinct roles. The U operator expresses that all evidence at a particular world that supports ψ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\psi $$\end{document} can be supported by at least one of the φi\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varphi _i$$\end{document}s. U can then be used to express that all the evidence available can be unified by the finite set of formulas φ1,…,φn\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varphi _1,\ldots, \varphi _n$$\end{document} if ψ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\psi $$\end{document} is taken to be ⊤\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\top $$\end{document}. Future developments will then use that semantics as the basis for a doxastic logic akin to evidence logics. (shrink)

In a recent reply to our article, “What is Interpretability?,” Prasetya argues against our position that artificial neural networks are explainable. It is claimed that our indefeasibility thesis—that adding complexity to an explanation of a phenomenon does not make the phenomenon any less explainable—is false. More precisely, Prasetya argues that unificationist explanations are defeasible to increasing complexity, and thus, we may not be able to provide such explanations of highly complex AI models. The reply highlights an important lacuna in our (...) original paper, the omission of the unificationist account of explanation, and affords us the opportunity to respond. Here, we argue that artificial neural networks are explainable in a way that should satisfy unificationists and that interpretability methods present ways in which ML theories can achieve unification. (shrink)

Contemporary research highlights multiple societal and environmental benefits in addition to potential economic advantages associated with renewable energy utilization. As federal and state incentives for investments in RE technologies become more prevalent, RE sources represent increasingly viable alternatives to established fossil fuel energy. RE utilization is recognized as a key component of “green” product innovation that helps firms reduce the environmental impact of production processes and diminish their ecological footprints and energy consumption. Yet, despite consistent evidence that corporate sustainability initiatives (...) are favorably associated with firm performance, the limited research that examines associations between RE initiatives and firm performance yields mixed results and an explicit link has yet to be established. Drawing on the natural resource-based view of the firm, we examine the association between RE utilization and firm financial performance over time. Annual ROI, Tobin’s Q, and operating margin for large U.S. firms identified as exceptional users of RE in the EPA’s Fortune 500 Top Green Power Partners list are compared with their respective industry medians over a 7-year period and post hoc bootstrapping and sensitivity analyses are performed to further validate the study findings. Our research advances current knowledge about the influence of RE utilization by demonstrating that top RE user firms consistently generated superior financial performance compared to their industry competitors. As such, the study findings lend credence to the existence of a business case that complements the societal and environmental benefits of RE utilization. (shrink)

Do philosophic views affect job performance? The authors found that possessing a belief in free will predicted better career attitudes and actual job performance. The effect of free will beliefs on job performance indicators were over and above well-established predictors such as conscientiousness, locus of control, and Protestant work ethic. In Study 1, stronger belief in free will corresponded to more positive attitudes about expected career success. In Study 2, job performance was evaluated objectively and independently by a supervisor. Results (...) indicated that employees who espoused free will beliefs were given better work performance evaluations than those who disbelieve in free will, presumably because belief in free will facilitates exerting control over one’s actions. (shrink)

Three public lectures delivered in the Chemistry Lecture Hall of the Rice Institute, April 9, 10, and 11, 1928, by Wilder D. Bancroft, Ph.D., D.Sc., World War Memorial Professor of Physical Chemistry at Cornell University.

Increased investment in ethics education has prompted a variety of instructional objectives and frameworks. Yet, no systematic procedure to classify these varying instructional approaches has been attempted. In the present study, a quantitative clustering procedure was conducted to derive a typology of instruction in ethics education. In total, 330 ethics training programs were included in the cluster analysis. The training programs were appraised with respect to four instructional categories including instructional content, processes, delivery methods, and activities. Eight instructional approaches were (...) identified through this clustering procedure, and these instructional approaches showed different levels of effectiveness. Instructional effectiveness was assessed based on one of nine commonly used ethics criteria. With respect to specific training types, Professional Decision Processes Training and Field-Specific Compliance Training appear to be viable approaches to ethics training based on Cohen’s d effect size estimates. By contrast, two commonly used approaches, General Discussion Training and Norm Adherence Training, were found to be considerably less effective. The implications for instruction in ethics training are discussed. (shrink)

Furthering our project of applying Plantinga’s epistemology to different world religions, we do a comparative study of Mormonism and Vaiśeṣika Hinduism and analyze whether they can utilize Plantinga’s epistemology in order to claim that their beliefs about God if true are probably warranted. Specifically, we argue that they cannot, as ultimately they are unable to account for the preconditions needed to make for an intelligible cognitive design plan, due to either affirming an infinite regress when it comes to the designers (...) of our cognitive faculties or affirming an infinite number of cosmological cycles in which our faculties are formed. (shrink)

The neural representation of a repeated stimulus is the standard against which a deviant stimulus is measured in the brain, giving rise to the well-known mismatch response. It has been suggested that individuals with dyslexia have poor implicit memory for recently repeated stimuli, such as the train of standards in an oddball paradigm. Here, we examined how the neural representation of a standard emerges over repetitions, asking whether there is less sensitivity to repetition and/or less accrual of “standardness” over successive (...) repetitions in dyslexia. We recorded magnetoencephalography as adults with and without dyslexia were passively exposed to speech syllables in a roving-oddball design. We performed time-resolved multivariate decoding of the MEG sensor data to identify the neural signature of standard vs. deviant trials, independent of stimulus differences. This “multivariate mismatch” was equally robust and had a similar time course in the two groups. In both groups, standards generated by as few as two repetitions were distinct from deviants, indicating normal sensitivity to repetition in dyslexia. However, only in the control group did standards become increasingly different from deviants with repetition. These results suggest that many of the mechanisms that give rise to neural adaptation as well as mismatch responses are intact in dyslexia, with the possible exception of a putatively predictive mechanism that successively integrates recent sensory information into feedforward processing. (shrink)

Requirements for business ethics education and organizational ethics trainings mark an important step in encouraging ethical behavior among business students and professionals. However, the lack of specificity in these guidelines as to how, what, and where business ethics should be taught has led to stark differences in approaches and content. The present effort uses meta-analytic procedures to examine the effectiveness of current approaches across organizational ethics trainings and business school courses. to provide practical suggestions for business ethics interventions and research. (...) Thus, the primary questions driving this research are as follows: what course characteristics moderate the effectiveness of ethics instruction?, and have ethics education and training efforts improved? Findings suggest that professional, focused, and workshop-based training programs are especially effective for improving business ethics. However, results also reveal considerable problems with many of the criteria used to evaluate the effectiveness of business ethics interventions. Practical suggestions for course design and evaluation in business ethics efforts are discussed along with future research needs. (shrink)

Predictive modeling in education draws on data from past courses to forecast the effectiveness of future courses. The present effort sought to identify such a model of instructional effectiveness in scientific ethics. Drawing on data from 235 courses in the responsible conduct of research, structural equation modeling techniques were used to test a predictive model of RCR course effectiveness. Fit statistics indicated the model fit the data well, with the instructional characteristics included in the model explaining approximately 85% of the (...) variance in RCR instructional effectiveness. Implications for using the model to develop and improve future RCR courses are discussed. (shrink)

This essay situates “singularity” at the heart of the power dynamics operative in contemporary pedagogy and the system supporting it. More than merely academic learning, indeed, “school” here denotes not only the range of disciplinary authorities at work within the classroom and the educational system at large but also discursive obedience to knowledge. Supported by close readings of Arendt and Derrida, this paper thus argues that nothing less than the formation of identity is at stake in “school.” What are the (...) boundaries, limits, and conditions of possibility for a student’s invention of his or her own singularity within an institution and curriculum that, at the same time, demands obedience to authority? This paradoxical formation of identity within the constrictive demands of authority constitutes the primary task of thinking the “invention of singularity” at the heart of schooling in conjunction with democracy, language, vocation, and ideology. (shrink)

In December 2013, the Nonhuman Rights Project (NhRP) filed a petition for a common law writ of habeas corpus in the New York State Supreme Court on behalf of Tommy, a chimpanzee living alone in a cage in a shed in rural New York (Barlow, 2017). Under animal welfare laws, Tommy’s owners, the Laverys, were doing nothing illegal by keeping him in those conditions. Nonetheless, the NhRP argued that given the cognitive, social, and emotional capacities of chimpanzees, Tommy’s confinement constituted (...) a profound wrong that demanded remedy by the courts. Soon thereafter, the NhRP filed habeas corpus petitions on behalf of Kiko, another chimpanzee housed alone in Niagara Falls, and Hercules and Leo, two chimpanzees held in research facilities at Stony Brook University. Thus began the legal struggle to move these chimpanzees from captivity to a sanctuary, an effort that has led the NhRP to argue in multiple courts before multiple judges. The central point of contention has been whether Tommy, Kiko, Hercules, and Leo have legal rights. To date, no judge has been willing to issue a writ of habeas corpus on their behalf. Such a ruling would mean that these chimpanzees have rights that confinement might violate. Instead, the judges have argued that chimpanzees cannot be bearers of legal rights because they are not, and cannot be persons. In this book we argue that chimpanzees are persons because they are autonomous. (shrink)

Applying machine learning algorithms to automatically infer relationships between concepts from large-scale collections of documents presents a unique opportunity to investigate at scale how human semantic knowledge is organized, how people use it to make fundamental judgments (“How similar are cats and bears?”), and how these judgments depend on the features that describe concepts (e.g., size, furriness). However, efforts to date have exhibited a substantial discrepancy between algorithm predictions and human empirical judgments. Here, we introduce a novel approach to generating (...) embeddings for this purpose motivated by the idea that semantic context plays a critical role in human judgment. We leverage this idea by constraining the topic or domain from which documents used for generating embeddings are drawn (e.g., referring to the natural world vs. transportation apparatus). Specifically, we trained state-of-the-art machine learning algorithms using contextually-constrained text corpora (domain-specific subsets of Wikipedia articles, 50+ million words each) and showed that this procedure greatly improved predictions of empirical similarity judgments and feature ratings of contextually relevant concepts. Furthermore, we describe a novel, computationally tractable method for improving predictions of contextually-unconstrained embedding models based on dimensionality reduction of their internal representation to a small number of contextually relevant semantic features. By improving the correspondence between predictions derived automatically by machine learning methods using vast amounts of data and more limited, but direct empirical measurements of human judgments, our approach may help leverage the availability of online corpora to better understand the structure of human semantic representations and how people make judgments based on those. (shrink)

Cognitive Science, Volume 46, Issue 2, February 2022.

Given the growing public concern and attention placed on cases of research misconduct, government agencies and research institutions have increased their efforts to develop and improve ethics education programs for scientists. The present study sought to assess the impact of these increased efforts by sampling empirical studies published since the year 2000. Studies published prior to 2000 examined in other meta-analytic work were also included to provide a baseline for assessing gains in ethics training effectiveness over time. In total, this (...) quantitative review consisted of 66 empirical studies, 106 ethics courses, 150 effect sizes, and 10,069 training participants. Overall, the findings indicated that ethics instruction resulted in sizable benefits to participants and has improved considerably within the last decade. A number of specific findings also emerged regarding moderators of instructional effectiveness. Recommendations are discussed for improving the development, delivery, and evaluation of ethics instruction in the sciences. (shrink)

Requirements for business ethics education and organizational ethics trainings mark an important step in encouraging ethical behavior among business students and professionals. However, the lack of specificity in these guidelines as to how, what, and where business ethics should be taught has led to stark differences in approaches and content. The present effort uses meta-analytic procedures to examine the effectiveness of current approaches across organizational ethics trainings and business school courses. to provide practical suggestions for business ethics interventions and research. (...) Thus, the primary questions driving this research are as follows: what course characteristics moderate the effectiveness of ethics instruction?, and have ethics education and training efforts improved? Findings suggest that professional, focused, and workshop-based training programs are especially effective for improving business ethics. However, results also reveal considerable problems with many of the criteria used to evaluate the effectiveness of business ethics interventions. Practical suggestions for course design and evaluation in business ethics efforts are discussed along with future research needs. (shrink)

We submit this brief in support of the Nonhuman Rights Project’s efforts to secure habeas corpus relief for the elephant named Happy. We reject arbitrary distinctions that deny adequate protections to other animals who share with protected humans relevantly similar vulnerabilities to harms and relevantly similar interests in avoiding such harms. We strongly urge this Court, in keeping with the best philosophical standards of rational judgment and ethical standards of justice, to recognize that, as a nonhuman person, Happy should be (...) released from her current confinement and transferred to an appropriate elephant sanctuary, pursuant to habeas corpus. (shrink)

The author responds to a letter by D. Brendan Johnson in the July‐August 2023 issue of the Hastings Center Report concerning his and Joseph Clair's article “Love Your Patient as Yourself: On Reviving the Broken Heart of American Medical Ethics.”.

Despite the growing body of literature on training in the responsible conduct of research, few studies have examined the effectiveness of delivery formats used in ethics courses. The present effort sought to address this gap in the literature through a meta-analytic review of 66 empirical studies, representing 106 ethics courses and 10,069 participants. The frequency and effectiveness of 67 instructional and process-based content areas were also assessed for each delivery format. Process-based contents were best delivered face-to-face, whereas contents delivered online (...) were most effective when restricted to compliance-based instructional contents. Overall, hybrid courses were found to be most effective, suggesting that ethics courses are best delivered using a blend of formats and content areas. Implications and recommendations for future development of ethics education courses in the sciences are discussed. (shrink)

1 Since commentary on the M ideas t is s o fraugh t with controversy, let me state s ome of my s tarting p oints up front. I am a strong believer in a market economy, and in W estern civilization. My foreign p olicy instincts tend to be dovish, in recognition of the imperfections in governments, but I am not, like some libertarians , in principle oppo sed to A merican intervention abroad. I am not religious , and (...) the M iddle East holds no s pecial theological s ignificance fo r me. I h ave fo llowe d events in the region, and read wid ely on its h isto ry, but have no literacy in either Hebrew or Arabic. (shrink)

Fundamental frequency, perceived as pitch, is the first and arguably most salient auditory component humans are exposed to since the beginning of life. It carries multiple linguistic and paralinguistic functions in speech and communication. The mappings between these functions and ƒ0 features vary within a language and differ cross-linguistically. For instance, a rising pitch can be perceived as a question in English but a lexical tone in Mandarin. Such variations mean that infants must learn the specific mappings based on their (...) respective linguistic and social environments. To date, canonical theoretical frameworks and most empirical studies do not view or consider the multi-functionality of ƒ0, but typically focus on individual functions. More importantly, despite the eventual mastery of ƒ0 in communication, it is unclear how infants learn to decompose and recognize these overlapping functions carried by ƒ0. In this paper, we review the symbioses and synergies of the lexical, intonational, and emotional functions that can be carried by ƒ0 and are being acquired throughout infancy. On the basis of our review, we put forward the Learnability Hypothesis that infants decompose and acquire multiple ƒ0 functions through native/environmental experiences. Under this hypothesis, we propose representative cases such as the synergy scenario, where infants use visual cues to disambiguate and decompose the different ƒ0 functions. Further, viable ways to test the scenarios derived from this hypothesis are suggested across auditory and visual modalities. Discovering how infants learn to master the diverse functions carried by ƒ0 can increase our understanding of linguistic systems, auditory processing and communication functions. (shrink)