In this paper, we argue that, omissions are not events or actions, but rather fact-like entities, and that, insofar as only events and actions can be causes, omissions cannot be causes. Nevertheless, since omissions can, and often do, play a role in the explanations of events, their place in such explanations must be found; and an attempt to find such a place is made.

Western beliefs, Eastern religion, and modern science are reconciled in a religious philosophy Dr. Starratt has called Panentheism.

Variable responses to transcranial direct current stimulation protocols across individuals are widely reported, but the reasons behind this variation are unclear. This includes tDCS protocols meant to improve attention. Attentional control is impacted by top-down and bottom-up processes, and this relationship is affected by state characteristics such as anxiety. According to Attentional Control Theory, anxiety biases attention towards bottom-up and stimulus-driven processing. The goal of this study was to explore the extent to which differences in state anxiety and related measures (...) affect visual attention and category learning, both with and without the influence of tDCS. Using discovery learning, participants were trained to classify pictures of European streets into two categories while receiving 30 min of 2.0 mA anodal, cathodal, or sham tDCS over the rVLPFC. The pictures were classifiable according to two separate rules, one stimulus and one hypothesis-driven. The Remote Associates Test, Profile of Mood States, and Attention Networks Task were used to understand the effects of individual differences at baseline on subsequent tDCS-mediated learning. Multinomial logistic regression was fit to predict rule learning based on the baseline measures, with subjects classified according to whether they used the stimulus-driven or hypothesis-driven rule to classify the pictures. The overall model showed a classification accuracy of 74.1%. The type of tDCS stimulation applied, attentional orienting score, and self-reported mood were significant predictors of different categories of rule learning. These results indicate that anxiety can influence the quality of subjects’ attention at the onset of the task and that these attentional differences can influence tDCS-mediated category learning during the rapid assessment of visual scenes. These findings have implications for understanding the complex interactions that give rise to the variability in response to tDCS. (shrink)

As the capabilities of Artificial Intelligence (AI) have increased over recent years, so have the challenges of how to govern its usage. Consequently, prominent stakeholders across academia, government, industry, and civil society have called for states to devise and deploy principles, innovative policies, and best practices to regulate and oversee these increasingly powerful AI tools. Developing a robust AI governance system requires extensive collective efforts throughout the world. It also raises old questions of politics, democracy, and administration, but with the (...) new challenges posed by AI's growing influence on markets, governing structures, international relations, healthcare, science, and political activism. The Oxford Handbook of AI Governance delineates the scope of these issues and addresses the key questions of AI governance. Across forty-nine chapters, organized in nine major sections, the Handbook covers the theoretical and ethical foundations of AI governance, different frameworks for developing a governance structure for AI, practical perspectives on AI governance in different policy domains, economic analyses of AI governance, and concrete lessons about the impact of AI governance domestically and internationally. Chapter authors come from a wide set of disciplines, areas of study, and cultural backgrounds, providing a global perspective on AI governance. (shrink)

Citation data have become an increasingly significant source of information for historians, sociologists, and other researchers studying the evolution of science. In the past few decades elaborate methodologies have been developed for the use of citation data in the study of the modern history of science. This article focuses on how citation indexes make it possible to trace the background and development of discoveries as well as to assess the credit that publishing scientists assign to particular discoverers. Kuhn's notion of (...) discovery is discussed. The priority dispute over the discovery of the AIDS virus is used as an example. (shrink)

The rapid rise of international collaborative science has enabled access to genomic data. In this article, it is argued that to move beyond mapping genomic variation to understanding its role in complex disease aetiology and treatment will require extending data sharing for the purposes of clinical research translation and implementation.

Francis J. Ambrosiso begins with sentence that is either self-effacing or alarming “Truly, I do not know why I must write this book, so I must begin by asking for your forgiveness for having done son without knowing why and therefore, necessarily, without knowing how.” An Associate Professor of Philosophy at Georgetown University, Ambrosio believes “the difference the book makes is this: it traces and remarks in the texts of Dante and Derrida two episodes in the history of forgiveness” (p. (...) xi). (shrink)