The belief in free will has been frequently challenged since Benjamin Libet published his famous experiment in 1983. Although Libet’s experiment is highly dependent upon subjective reports, no study has been conducted that focused on a first-person or introspective perspective of the task. We took a neurophenomenological approach in an N = 1 study providing reliable and valid measures of the first-person perspective in conjunction with brain dynamics. We found that a larger readiness potential is attributable to more frequent occurrences (...) of self-initiated movements during negative deflections of the slow cortical potentials . These negative deflections occur in parallel with an inner impulse reported by an expert meditator which may in turn lead to a voluntary act. We demonstrate in this proof-of-principle approach that the first-person perspective obtained by an expert meditator in conjunction with neural signal analysis can contribute to our understanding of the neural underpinnings of voluntary acts. (shrink)

Current advances in research, development and application of artificial intelligence systems have yielded a far-reaching discourse on AI ethics. In consequence, a number of ethics guidelines have been released in recent years. These guidelines comprise normative principles and recommendations aimed to harness the “disruptive” potentials of new AI technologies. Designed as a semi-systematic evaluation, this paper analyzes and compares 22 guidelines, highlighting overlaps but also omissions. As a result, I give a detailed overview of the field of AI ethics. Finally, (...) I also examine to what extent the respective ethical principles and values are implemented in the practice of research, development and application of AI systems—and how the effectiveness in the demands of AI ethics can be improved. (shrink)

This article explores the role of financial markets for sustainable development. More specifically, the authors ask to what extent financial markets foster and facilitate more sustainable business practices. The authors highlight that their current role is rather modest and conclude that, on the old paths, a paradoxical situation exists. On one hand, financial market participants increasingly integrate environmental, social, and governance criteria into their investment decisions, whereas on the other hand, in terms of organizational reality, there seems to be no (...) real shift toward more sustainable business practices. The authors identify two main challenges within the field of sustainable investments that are relevant for entering new avenues that may help overcome this situation. First, a reorientation toward a long-term paradigm for sustainable investments is important. Second, ESG data must become more trustworthy. From a theoretical point of view, the authors finally highlight the potential market consequences when ESG investment criteria are used. (shrink)

A commonly neglected feature of the so-called Equal Weight View, according to which we should give our peers’ opinions the same weight we give our own, is its prima facie incompatibility with the common picture of philosophy as an armchair activity: an intellectual effort to seek a priori knowledge. This view seems to imply that our beliefs are more likely to be true if we leave our armchair in order to find out whether there actually are peers who, by disagreeing (...) with us, force us to revise our beliefs. This article argues that the Equal Weight View should be spelled out in such a way that not only actual peer disagreement requires us to revise our beliefs, but also merely possible peer disagreement. This result is not a reductio ad absurdum of the view. Quite the opposite: it shows that the view is, contrary to appearance, compatible with our common way of doing philosophy. (shrink)

In the original publication of this article, the Table 1 has been published in a low resolution. Now a larger version of Table 1 is published in this correction. The publisher apologizes for the error made during production.

Models of cognitive vulnerability claim that depressive symptoms arise as a result of an interaction between negative affect and cognitive reactions, in the form of dysfunctional attitudes and negative inferential style. We present a model that complements this approach by focusing on the appraisal processes that elicit and differentiate everyday episodes of emotional experience, arguing that individual differences in appraisal patterns can foster negative emotional experiences related to depression (e.g., sadness and despair). In particular, dispositional appraisal biases facilitating the elicitation (...) of these emotions more frequently and more intensely. This, in turn, is likely to have a negative influence on cognitive processing and emotion regulation in general. (shrink)

English summary: Marc Andre Wiegand analyzes the neo-Kantian premises of Gustav Radbruch's legal philosophy.

Many ethics initiatives have stipulated sets of principles and standards for good technology development in the AI sector. However, several AI ethics researchers have pointed out a lack of practical realization of these principles. Following that, AI ethics underwent a practical turn, but without deviating from the principled approach. This paper proposes a complementary to the principled approach that is based on virtue ethics. It defines four “basic AI virtues”, namely justice, honesty, responsibility and care, all of which represent specific (...) motivational settings that constitute the very precondition for ethical decision making in the AI field. Moreover, it defines two “second-order AI virtues”, prudence and fortitude, that bolster achieving the basic virtues by helping with overcoming bounded ethicality or hidden psychological forces that can impair ethical decision making and that are hitherto disregarded in AI ethics. Lastly, the paper describes measures for successfully cultivating the mentioned virtues in organizations dealing with AI research and development. (shrink)

Welcome precision is brought to the idea, history, types and motives of ethical investment in what will become an authoritative review of the subject. Marc Cooper is a postgraduate researcher at the European Business Management School, University of Wales, and Bodo Schlegelmilch, recently British Rail Professor of Marketing there, has recently been appointed Professor of Marketing at the American Graduate School of International Management (Thunderbird), Phoenix, Arizona.

We introduce the Bounded Axiom A Forcing Axiom . It turns out that it is equiconsistent with the existence of a regular ∑2-correct cardinal and hence also equiconsistent with BPFA. Furthermore we show that, if consistent, it does not imply the Bounded Proper Forcing Axiom.

The term complementarity plays a central role in quantum physics, not least in various approaches to defining entanglement and the conditions for its occurrence. It has, however, been used in a variety of ways by different authors, denoting different concepts and relationships. Here we describe and clarify some of them and analyze the role they play with respect to the phenomenon of entanglement. Based on these considerations we discuss the recently proposed system-theoretical generalization of the concepts entanglement and complementarity (Atmanspacher (...) et al. in Found Phys 32(3):379–406, 2002; von Lucadou et al. in J Conscious Stud 14(4):50–74, 2007; Filk and Römer in Axiomathes 21(2):211–220, 2011; Walach and Von Stillfried in Axiomathes 21(2): 185–209, 2011). We hope that a clarification regarding the specific meaning of these terms can be useful to the growing engagement with this interesting hypothesis and its critical investigation. (shrink)

The current “AI Summer” is marked by scientific breakthroughs and economic successes in the fields of research, development, and application of systems with artificial intelligence. But, aside from the great hopes and promises associated with artificial intelligence, there are a number of challenges, shortcomings and even limitations of the technology. For one, these challenges arise from methodological and epistemological misconceptions about the capabilities of artificial intelligence. Secondly, they result from restrictions of the social context in which the development of applications (...) of machine learning is embedded. And third, they are a consequence of current technical limitations in the development and use of artificial intelligence. The paper intends to provide an overview of current challenges which the research and development of applications in the field of artificial intelligence and machine learning have to face, whereas all three mentioned areas are to be further explored in this paper. (shrink)

The term complementarity plays a central role in quantum physics, not least in various approaches to defining entanglement and the conditions for its occurrence. It has, however, been used in a variety of ways by different authors, denoting different concepts and relationships. Here we describe and clarify some of them and analyze the role they play with respect to the phenomenon of entanglement. Based on these considerations we discuss the recently proposed system-theoretical generalization of the concepts entanglement and complementarity (Atmanspacher (...) et al. in Found Phys 32(3):379–406, 2002; von Lucadou et al. in J Conscious Stud 14(4):50–74, 2007; Filk and Römer in Axiomathes 21(2):211–220, 2011; Walach and Von Stillfried in Axiomathes 21(2): 185–209, 2011). We hope that a clarification regarding the specific meaning of these terms can be useful to the growing engagement with this interesting hypothesis and its critical investigation. (shrink)

Certain research strands can yield “forbidden knowledge”. This term refers to knowledge that is considered too sensitive, dangerous or taboo to be produced or shared. Discourses about such publication restrictions are already entrenched in scientific fields like IT security, synthetic biology or nuclear physics research. This paper makes the case for transferring this discourse to machine learning research. Some machine learning applications can very easily be misused and unfold harmful consequences, for instance, with regard to generative video or text synthesis, (...) personality analysis, behavior manipulation, software vulnerability detection and the like. Up till now, the machine learning research community embraces the idea of open access. However, this is opposed to precautionary efforts to prevent the malicious use of machine learning applications. Information about or from such applications may, if improperly disclosed, cause harm to people, organizations or whole societies. Hence, the goal of this work is to outline deliberations on how to deal with questions concerning the dissemination of such information. It proposes a tentative ethical framework for the machine learning community on how to deal with forbidden knowledge and dual-use applications. (shrink)

In support of logical nihilism, according to which there are no logical laws, Gillian Russell offers purported counterexamples to two laws of logic. Russell’s examples rely on cleverly constructed predicates not found in ordinary English. I show that similar apparent counterexamples to the same logical laws can be constructed without exotic predicates but using only what ordinary language provides. We correctly analyze such arguments so that they do not actually constitute counterexamples to any logic laws. I claim that we can (...) and should do the same for Russell’s arguments. (shrink)

Industry involvement in the machine learning (ML) community seems to be increasing. However, the quantitative scale and ethical implications of this influence are rather unknown. For this purpose, we have not only carried out an informed ethical analysis of the field, but have inspected all papers of the main ML conferences NeurIPS, CVPR, and ICML of the last 5 years—almost 11,000 papers in total. Our statistical approach focuses on conflicts of interest, innovation, and gender equality. We have obtained four main (...) findings. (1) Academic–corporate collaborations are growing in numbers. At the same time, we found that conflicts of interest are rarely disclosed. (2) Industry papers amply mention terms that relate to particular trending machine learning topics earlier than academia does. (3) Industry papers are not lagging behind academic papers with regard to how often they mention keywords that are proxies for social impact considerations. (4) Finally, we demonstrate that industry papers fall short of their academic counterparts with respect to the ratio of gender diversity. We believe that this work is a starting point for an informed debate within and outside of the ML community. (shrink)

In the original publication of this article, the Table 1 has been published in a low resolution. Now a larger version of Table 1 is published in this correction. The publisher apologizes for the error made during production.

Machine behavior that is based on learning algorithms can be significantly influenced by the exposure to data of different qualities. Up to now, those qualities are solely measured in technical terms, but not in ethical ones, despite the significant role of training and annotation data in supervised machine learning. This is the first study to fill this gap by describing new dimensions of data quality for supervised machine learning applications. Based on the rationale that different social and psychological backgrounds of (...) individuals correlate in practice with different modes of human–computer-interaction, the paper describes from an ethical perspective how varying qualities of behavioral data that individuals leave behind while using digital technologies have socially relevant ramification for the development of machine learning applications. The specific objective of this study is to describe how training data can be selected according to ethical assessments of the behavior it originates from, establishing an innovative filter regime to transition from the big data rationale n = all to a more selective way of processing data for training sets in machine learning. The overarching aim of this research is to promote methods for achieving beneficial machine learning applications that could be widely useful for industry as well as academia. (shrink)

Scientists have long counseled against interpreting animal behavior in terms of human emotions, warning that such anthropomorphizing limits our ability to understand animals as they really are. Yet what are we to make of a female gorilla in a German zoo who spent days mourning the death of her baby? Or a wild female elephant who cared for a younger one after she was injured by a rambunctious teenage male? Or a rat who refused to push a lever for food (...) when he saw that doing so caused another rat to be shocked? Aren’t these clear signs that animals have recognizable emotions and moral intelligence? With _Wild Justice_ Marc Bekoff and Jessica Pierce unequivocally answer yes. Marrying years of behavioral and cognitive research with compelling and moving anecdotes, Bekoff and Pierce reveal that animals exhibit a broad repertoire of moral behaviors, including fairness, empathy, trust, and reciprocity. Underlying these behaviors is a complex and nuanced range of emotions, backed by a high degree of intelligence and surprising behavioral flexibility. Animals, in short, are incredibly adept social beings, relying on rules of conduct to navigate intricate social networks that are essential to their survival. Ultimately, Bekoff and Pierce draw the astonishing conclusion that there is no moral gap between humans and other species: morality is an evolved trait that we unquestionably share with other social mammals. Sure to be controversial, _Wild Justice_ offers not just cutting-edge science, but a provocative call to rethink our relationship with—and our responsibilities toward—our fellow animals. (shrink)

The question of whether biologists should continue to use the Linnaean hierarchy has been a hotly debated issue. Invented before the introduction of evolutionary theory, Linnaeus's system of classifying organisms is based on outdated theoretical assumptions, and is thought to be unable to provide accurate biological classifications. Marc Ereshefsky argues that biologists should abandon the Linnaean system and adopt an alternative that is more in line with evolutionary theory. He traces the evolution of the Linnaean hierarchy from its introduction (...) to the present. He illustrates how the continued use of this system hampers our ability to classify the organic world, and then goes on to make specific recommendations for a post-Linnaean method of classification. Accessible to a wide range of readers by providing introductory chapters to the philosophy of classification and the taxonomy of biology, the book will interest both scholars and students of biology and the philosophy of science. (shrink)

The last decade has witnessed the emergence of a paradox perspective on corporate sustainability. By explicitly acknowledging tensions between different desirable, yet interdependent and conflicting sustainability objectives, a paradox perspective enables decision makers to achieve competing sustainability objectives simultaneously and creates leeway for superior business contributions to sustainable development. In stark contrast to the business case logic, a paradox perspective does not establish emphasize business considerations over concerns for environmental protection and social well-being at the societal level. In order to (...) contribute to the consolidation of this emergent field of research, we offer a definition of the paradox perspective on corporate sustainability and a framework to delineate its descriptive, instrumental, and normative aspects. This framework clarifies the paradox perspective’s contents and its implications for research and practice. We use the framework to map the contributions to this thematic symposium on paradoxes in sustainability and to propose questions for future research. (shrink)

Due to the technology of machine learning, new breakthroughs are currently being achieved with constant regularity. By using machine learning techniques, computer applications can be developed and used to solve tasks that have hitherto been assumed not to be solvable by computers. If these achievements consider applications that collect and process personal data, this is typically perceived as a threat to information privacy. This paper aims to discuss applications from both fields of personality and image analysis. These applications are often (...) criticized by reference to the protection of privacy. This paper critically questions this approach. Instead of solely using the concept of privacy to address the risks of machine learning, it is increasingly necessary to consider and implement ethical anti-discrimination concepts, too. In many ways, informational privacy requires individual information control. However, not least because of machine learning technologies, information control has become obsolete. Hence, societies need stronger anti-discrimination tenets to counteract the risks of machine learning. (shrink)

Within the Husserlian phenomenological philosophical tradition, description and interpretation co-exist. However, teaching the practice of phenomenological psychological research requires careful articulation of the differences between a descriptive and an interpretive relationship to what is provided by qualitative data. If as researchers we neglect the epistemological foundations of our work or avoid working through difficult methodological issues, then our work invites dismissal as inadequate science, undermining the effort to strongly establish psychology along qualitative lines. The first article in this two-part discussion (...) provides a Husserlian investigation of the meaning of ‘method’ for psychology as a human science. This investigation is undertaken in the light of some researchers’ appropriations of Gadamer’s philosophical hermeneutics in the service of non-methodical praxes. The second article will address some implications of the attempt to structure qualitative psychological research along ‘Gadamerian’ lines, taking seriously the references to Gadamer’s work made by researchers such as Van Manen and Smith. Indo-Pacific Journal of Phenomenology , Volume 11, Edition 1 May 2011, 69-85. (shrink)

P. Clodius’ lex frumentaria of 58 BC tends to be viewed as a populist law that greatly exacerbated, if not largely created, the problems associated with the provision of grain in the 50s. Yet the law was intended to alleviate the high costs due to increased demand created by Cato’s lex frumentaria of 62. Moreover, it was not conceived as a one-shot, populist solution, but was part of a larger strategy aimed at mitigating the problem of supply. In ways hitherto (...) unrealised, Clodius’ annexation of Cyprus and the consular exemption of Delos from taxation formed part of a wider debate on tackling the root cause of high costs and unreliable supply: the resurgence of piracy in the eastern Mediterranean. (shrink)

Marc Hauser puts forth the theory that humans have evolved a universal moral instinct, unconsciously propelling us to deliver judgments of right and wrong independent of gender, education, and religion. Combining his cutting-edge research with the latest findings in cognitive psychology, linguistics, neuroscience, evolutionary biology, economics, and anthropology, Hauser explores the startling implications of his provocative theory vis-à-vis contemporary bioethics, religion, the law, and our everyday lives.

Various geoengineering technologies that would deliberately alter the climate system have been proposed as a way to alleviate risks of global warming. Technologies that would shield incoming sunlight to cool the planet, so called solar radiation management, are particularly controversial. Considering insights from social studies of simulation modeling and research on expectations in science and technology, I argue that climate modeling has a central role in producing visions of SRM. I draw upon an empirical analysis of scientific research on SRM (...) to examine how a creative play with technological ideas becomes possible through climate modeling. This enables scientists to project and study environmental impacts of speculative SRM methods in virtual experiments and to develop and refine ideas for adjusting sunlight. Hence, while climate models are used to improve scientific understandings of climate system behavior and to anticipate possible environmental impacts of SRM, they also become inventive tools, allowing scientists to envision novel ways of climate control and optimization. Given the importance of simulation studies to knowledge production on SRM, I critically reflect on the challenges that arise when visions about an engineered climate future are first and foremost produced in climate simulations. (shrink)

Kants Religionsphilosophie by Ch. A. Thilo. This book is a reproduction of the original book published in 1905 and may have some imperfections such as marks or hand-written notes.