This article presents a critique of an article previously featured in Nursing Philosophy by Ursula Naue and Thilo Kroll, who suggested that people living with dementia are assigned a negative status upon receipt of a diagnosis, holding the identity of the ‘demented other’. Specifically, in this critique, we suggest that unwitting use of the adjective ‘demented’ to define a person living with the condition is ill‐informed and runs a risk of defining people through negative attributes, which has a (...) deleterious impact upon that person's social and relational personae. Moreover, use of the locution ‘demented’ reinforces a divide between the ‘demented’ and the ‘healthy others’ . Social constructionist theory, malignant positioning and viewing people with dementia as semiotic subjects are the philosophical pillars through which we construct the main arguments of the critique. The article concludes with the voice of one of the authors, a younger person with dementia, asking for language in dementia care to be carefully reconsidered and reframed and for the recognition of the diagnosed person's agency in the conduct of their day‐to‐day lives. (shrink)

This article presents a critique of an article previously featured in Nursing Philosophy (10: 26–33) by Ursula Naue and Thilo Kroll, who suggested that people living with dementia are assigned a negative status upon receipt of a diagnosis, holding the identity of the ‘demented other’. Specifically, in this critique, we suggest that unwitting use of the adjective ‘demented’ to define a person living with the condition is ill-informed and runs a risk of defining people through negative (self-)attributes, which (...) has a deleterious impact upon that person's social and relational personae. Moreover, use of the locution ‘demented’ reinforces a divide between the ‘demented’ (them) and the ‘healthy others’ (us). Social constructionist theory, malignant positioning and viewing people with dementia as semiotic subjects are the philosophical pillars through which we construct the main arguments of the critique. The article concludes with the voice of one of the authors, a younger person with dementia, asking for language in dementia care to be carefully reconsidered and reframed and for the recognition of the diagnosed person's agency in the conduct of their day-to-day lives. (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)

The advent of generative artificial intelligence and the widespread adoption of it in society engendered intensive debates about its ethical implications and risks. These risks often differ from those associated with traditional discriminative machine learning. To synthesize the recent discourse and map its normative concepts, we conducted a scoping review on the ethics of generative artificial intelligence, including especially large language models and text-to-image models. Our analysis provides a taxonomy of 378 normative issues in 19 topic areas and ranks them (...) according to their prevalence in the literature. The study offers a comprehensive overview for scholars, practitioners, or policymakers, condensing the ethical debates surrounding fairness, safety, harmful content, hallucinations, privacy, interaction risks, security, alignment, societal impacts, and others. We discuss the results, evaluate imbalances in the literature, and explore unsubstantiated risk scenarios. (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)

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)

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.

In lieu of an abstract, here is a brief excerpt of the content:Philosophy, Psychiatry, & Psychology 9.2 (2002) 159-160 [Access article in PDF] The Nine Lives of the Dynamic Unconscious Jerome Kroll IN THEIR PROVOCATIVE ARTICLE "Dispensing with the Dynamic Unconscious," O'Brien and Jureidini offer two basic arguments against the existence or, more accurately, because we are dealing here with constructs, the plausibility, of the dynamic unconscious. First, they assert, in contradistinction to the psychoanalytic claim that evidence of a (...) cognitive unconscious supports the claim for a dynamic unconscious, that the notion of a cognitive unconscious is incompatible with that of a dynamic unconscious. Second, they argue on the grounds of parsimony that the phenomena explained by a dynamic unconscious can be better explained (accounted for) by other mechanisms.I would argue that neither of their contentions is correct. O'Brien and Jureidini have essentially taken data and evidence from cognitive science, issued a new vocabulary, and then asserted that their vocabulary is superior and constitutes better explanations for the phenomena and observations under question. They have failed to show any incompatibility between the two explanatory constructs. O'Brien and Jureidini agree with the basic Freudian tenet that most mental activity is unconscious, that is, out of consciousness, and that much of what is out of consciousness can be brought into consciousness with proper cueing. No problem so far.The problem with the dynamic unconscious, as O'Brien and Jureidini see it, is that the cognitive unconscious is modular, best described as a series of subpersonal systems akin to a set of narrowly focused computational specialists, whereas the dynamic unconscious contains fully formed repressed memories. What O'Brien and Jureidini have now given us are multiple homunculi rather than just one CEO or executive homunculus. How literally do we want to take these subpersons? Are subpersonal mental states more satisfactory scientifically than personal-level mental states? Second, O'Brien and Jureidini unfairly attribute to the psychoanalytic position the claim that the dynamic unconscious "is presumed to contain fully formed repressed memories." With the compelling evidence from psychology and neuroscience that all memory is a reconstruction, I do not think that any contemporary psychodynamicist makes a case for fully formed repressed memories, nor is this notion essential to a theory of a dynamic unconscious. O'Brien and Jureidini invoke Occam's razor by invoking a straw horse argument. Their description of the action of subpersonal parts doing sufficient specific cuing sounds suspiciously like the work done in the dynamic unconscious. In the next section, an emotional response is described as pushing images out of mind before they can be reported on (assumedly, before they become conscious). What is doing the pushing here? Upon what principles or priorities are images pushed out of mind?The authors explain that mental "representations are inaccessible to consciousness by virtue [End Page 159] of architectural constraints rather than the operation of a repressive force." But architectural constraints sounds like another way of describing neural facilitation and inhibition. Certainly most neural activity, perhaps all, involves facilitation and inhibition of signals at multiple synapses. Repression is just a psychological construct to describe what the processes of facilitation and inhibition bring about in terms of meaningful mental activity. While we are on the topic of choice of words, the repeated description of the dynamic unconscious as subterranean is an inflammatory locution designed to rally opposition to the notion. The cognitive unconscious is equally subterranean.To look further into the supposed superiority of explanation via the cognitive unconscious, we see that O'Brien and Jureidini attribute the following processes to the cognitive unconscious: evaluation, decision making, editing out, filling in, reconstruction, and reconfiguration. But what are the bases of these processes? What guides or influences the way ideas, images, and emotions are reconstructed and reconfigured? It does not appear to be done randomly. When the reconstructive narrative becomes "significantly distorted" because the memory to be retrieved is fraught with distress, what accounts for the shape of the distortion and what (dare we say who?) recognizes that a memory is about to be distressing? We may all be unhappy with the notion of a dynamic unconscious... (shrink)

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)

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)

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)

Although sinology cannot exist without translation, the goals of the two are not always the same. One is usually put in service subordinate to the other, whether a conflict is explicitly recognized or not. The perennial dispute surrounding “free” vs. “literal” translation often ensues as an inevitable consequence. Brief remarks are offered here in hope of clarifying certain issues and methods, with special attention to the translation of medieval poetry.

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)

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.

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)

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)

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.

This article explores the potential ways in which artificial intelligence (AI) can support veganism, a lifestyle that aims to promote the protection of animals and also avoids the consumption of animal products for environmental and health reasons. The first part of the article discusses the technical requirements for utilizing AI technologies in the mentioned field. The second part provides an overview of potential use cases, including facilitating consumer change with the help of AI, technologically augmenting undercover investigations in factory farms, (...) raising the efficiency of nongovernment organizations promoting plant-based lifestyles, and so forth. The article acknowledges that the deployment of AI should not happen in a “solutionist” manner, meaning to always consider nontechnical means for achieving desired outcomes. However, it is important for organizations promoting veganism to realize the potential of modern data-driven tools and to merge and share their data to reach common goals. (shrink)