How can we make moral progress on factory farming? Part of the answer lies in human moral psychology. Meat consumption remains high, despite increased awareness of its negative impact on animal welfare. Weakness of will is part of the explanation: acceptance of the ethical arguments doesn’t always motivate changes in dietary habits. However, we draw on scientific evidence to argue that many consumers aren’t fully convinced that they morally ought to reduce their meat consumption. We then identify two key psychological (...) mechanisms—motivated reasoning and social proof—that lead people to resist the ethical reasons. Finally, we show how to harness these psychological mechanisms to encourage reductions in meat consumption. A central lesson for moral progress generally is that durable social change requires socially-embedded reasoning. (shrink)

The rapid advancement of intelligent computing has revolutionized the field of economic forecasting, providing unprecedented capabilities for developing, implementing, and analyzing advanced prediction models. This paper explores the comprehensive process of harnessing intelligent computing for economic forecasting, emphasizing the critical stages of model development, integration, and evaluation. Initially, it discusses data collection and preprocessing techniques essential for building robust models, followed by the selection of suitable statistical, machine learning, and deep learning algorithms. The paper then outlines the practical aspects (...) of model implementation, including real-time data integration, deployment strategies, and scalability considerations. Further, it delves into the continuous monitoring and maintenance required to ensure model accuracy and reliability over time. The analysis section evaluates model performance using various accuracy metrics, scenario analyses, and visualization techniques to provide actionable insights. Through case studies across the financial sector, government policy, and business planning, the paper illustrates the transformative impact of intelligent computing on economic forecasting. The findings underscore the potential of advanced prediction models to enhance decision-making, anticipate economic trends, and respond proactively to dynamic economic environments. (shrink)

Abstract: The integration of Artificial Intelligence (AI) into medical imaging marks a transformative advancement in healthcare, significantly enhancing diagnostic accuracy, efficiency, and patient outcomes. This paper delves into the application of AI technologies in medical image analysis, with a particular focus on techniques such as convolutional neural networks (CNNs) and deep learning models. We examine how these technologies are employed across various imaging modalities, including X-rays, MRIs, and CT scans, to improve disease detection, image segmentation, and diagnostic support. Furthermore, the (...) paper discusses the challenges associated with AI-driven medical imaging, such as data quality, model interpretability, and ethical considerations. By analyzing recent advancements and real-world case studies, this paper offers insights into the current landscape of AI in medical imaging and explores its potential future directions. The findings underscore the ongoing evolution of AI technologies and their pivotal role in advancing medical diagnostics and treatment strategies. (shrink)

Abstract: The integration of Artificial Intelligence (AI) into leadership practices is transforming organizational dynamics and This decision-making processes. paper explores how AI can enhance leadership effectiveness by providing data-driven insights, optimizing decision-making, and automating routine tasks. It also examines the challenges leaders face in adopting AI, including ethical considerations, potential biases in AI systems, and the need for upskilling. By analyzing current applications of AI in leadership and discussing future trends, this study aims to provide a comprehensive overview of the (...) opportunities AI presents for effective leadership and the strategies required to address its associated challenges. (shrink)

The landscape of cybersecurity is constantly evolving, with adversaries becoming increasingly sophisticated and persistent. This manuscript explores the utilization of artificial intelligence (AI) to address these evolving threats, focusing on the journey from threat detection to autonomous response. By examining AI-driven detection methodologies, advanced threat analytics, and the implementation of autonomous response systems, this paper provides insights into how organizations can leverage AI to strengthen their cybersecurity posture against modern threats. Key words: Ransomware, Anomaly Detection, Advanced Persistent Threats (APTs), Automated (...) Threat Response and Artificial Intelligence. (shrink)

Abstract: Harnessing natural gas resources for sustainable development requires undertaking fundamental decision chains. The role of the government in championing strategic decisions in the management of these resources to spur social and economic growth is of critical importance. Without proper decision chains, natural gas resources paradoxically may undermine development. The study found that the findings from both closed ended and open-ended results have the implication for adequate decisions the government may take in managing the natural gas resources for long-term (...) social and economic development. The study suggests that in order to accelerate social and economic development of Tanzania, natural gas revenues should be accounted for and wisely use to finance long-term development projects and for an accelerated transition out of poverty. (shrink)

“Throw away anything that sounds too complicated. Only keep what is simple to grasp...If the information appears fuzzy and causes the brain to implode after two sentences, toss it away and stop listening. Doing so will make the news as orderly and simple to understand as the truth.” - In “GHG emissions,” The Kingfisher Story Collection, (Vuong 2022a).

Disability laws are crucial in ensuring a life of dignity for persons with disabilities. However, they remain limited and ineffective in the absence of adequate knowledge and awareness of the experiences with disability. The limitedness of disability laws has been spoken of in cases where the full realization of rights is subject to technological, philosophical, and market dynamics. In many cases, the law is also weakened by negative cultural beliefs and social perceptions of disability. And then there are cases where (...) disability laws perpetuate or tolerate oppression and violence. Despite their limitedness, disability laws offer normative content to facilitate engagement and critique for reform. In terms of what disability laws ‘ought’ to be, scholars write, that they should be about disabled people and the meanings provided by them. This objective has and can be fulfilled with the aid of disability studies that go beyond the inquiries of law with the right kind of research tools to theorize and re-theorize concepts and meanings about disability. Disability studies, in other words, represent the living conditions of disabled persons and the questions of how disability and/or impairment should be defined. This chapter examines the interaction between disability law and disability studies through the prism of the Convention on the Rights of Persons with Disabilities (CRPD). While discussing the models of disability (medical, social, human rights, and relational-community models) and agendas for reforming the CRPD, the chapter highlights the importance of new concepts and approaches. Further, the potential of disability laws, CRPD in particular, has been discussed keeping in mind the application of its core principles across different sectors (with a special focus on the Marrakesh treaty and copyright laws). (shrink)

Some physicians, in their care of patients at risk of misusing opioids, use machine learning (ML)-based prediction drug monitoring programmes (PDMPs) to guide their decision making in the prescription of opioids. This can cause a conflict: a PDMP Score can indicate a patient is at a high risk of opioid abuse while a patient expressly reports oppositely. The prescriber is then left to balance the credibility and trust of the patient with the PDMP Score. Pozzi1 argues that a prescriber who (...) downgrades the credibility of a patient’s testimony based on a low PDMP Score is epistemically and morally unjustified and contributes to a form of testimonial injustice. This results in patients being silenced, excluded from decision-making processes and subjected to structural injustices. Additionally, the use of ML systems in medical practices raises concerns about perpetuating existing inequalities, overestimating their capabilities and displacing human authority. However, almost the very same critiques apply to human-based systems. Formalisation, ML systems included, should instead be viewed positively,2 and precisely as a powerful means to begin eroding these and other problems in ethically sensitive domains. In this case, the epistemic virtues of formalisation include promoting transparency, consistency and replicability in decision making. Rigorous ML systems can also help ensure that models …. (shrink)

Jag har brutit med vårt aktuella paradigm. Detta är varför. /Ihave broken with our present paradigm. This is why.

Den här boken handlar om invasiva främmande växter. I det föregående kapitlet reflekterade Niklas Vareman om vad som läggs i begreppet ‘invasiv’, men vad gäller då för den andra termen i begreppet – alltså ordet ‘främmande’? Vid första påseende kan det verka som att ’främmande’ borde vara ett enklare ord att definiera. Det är ju vanligare och inte så tekniskt jämfört med ‘invasiv’. Frågan är dock om inte just dessa två egenskaper gör ordet ’främmande’ mer svårdefinierat. Ord som är både (...) vanligare och mer vardagliga används av fler personer och på fler olika sätt. (shrink)

Med omsorgsetikken har Carol Gilligan avslørt tradisjonell moralfilosofi som en kjønnet maktdiskurs hvor etiske utfordringer og erfaringer forbundet med kvinner har blitt ignorert og devaluert. Men hva slags etisk teori er egentlig omsorgsetikken, hvordan skiller den seg fra andre etiske teorier og hva den kan yte?

I årtusenden har människan försökt definiera livet – hur levande djur och växter skiljer sig från död materia. Problemet är dock att livet är mångfacetterat, och varje regel har sitt undantag. Vi försöker möta kommande utmaningar med nya livsformer, genom att lyfta fram en ny definition av liv.

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 argues that an ethical framework will help to harness the potential of AI while keeping humans in control.

Lisa Furberg har argumenterat för att altruistiskt surrogatmödraskap kan anses moraliskt problematiskt utifrån en perfektionistisk teori om det goda livet. I följande svar riktar jag ett antal invändningar mot Furbergs resonemang.

Den feministiske etikken har de siste 25 årene levert moralfilosofiske bidrag som åpner for etiske analyser av nye temaer og kjønnede maktstrukturer. I den norske etikkdiskursen er det likevel sjelden at kjønn eller feministisk etikk tematiseres – til tross for flere tiår med betydelig etikksatsing. Uttrykker tausheten en usynliggjøring som opprettholder et faglig makthierarki? Eller skyldes det at feministisk etikk ikke er «ekte» filosofi, men politikk forkledd som vitenskap? I denne artikkelen diskuteres den feministiske etikkens faglige bidrag og eksistensberettigelse.

Human obsolescence is imminent. We are living through an era in which our activity is becoming less and less relevant to our well-being and to the fate of our planet. This trend toward increased obsolescence is likely to continue in the future, and we must do our best to prepare ourselves and our societies for this reality. Far from being a cause for despair, this is in fact an opportunity for optimism. Harnessed in the right way, the technology that hastens (...) our obsolescence can open us up to new utopian possibilities and enable heightened forms of human flourishing. (shrink)

Choices confront us with questions. How we act depends on our answers to those questions. So the way our beliefs guide our choices is not just a function of their informational content, but also depends systematically on the questions those beliefs address. This paper gives a precise account of the interplay between choices, questions and beliefs, and harnesses this account to obtain a principled approach to the problem of deduction. The result is a novel theory of belief-guided action that explains (...) and predicts the decisions of agents who, like ourselves, fail to be logically omniscient: that is, of agents whose beliefs may not be deductively closed, or even consistent. (Winner of the 2021 Isaac Levi Prize.). (shrink)

In this précis of The Practical Origins of Ideas: Genealogy as Conceptual Reverse-Engineering (OUP 2021), I summarize the key claims of the book. The book describes, develops, and defends an underappreciated methodological tradition: the tradition of pragmatic genealogy, which aims to identify what our loftiest and most inscrutable conceptual practices do for us by telling strongly idealized, but still historically informed stories about what might have driven people to adopt and elaborate them as they did. What marks out this methodological (...) tradition, I argue, is that it synthesizes two genres of philosophical genealogy that are standardly set against each other: state-of-nature fictions on the one hand and patiently documentary historiography on the other. These two genres of genealogy are usually taken to be mutually exclusive and to answer to radically different philosophical interests and temperaments. But I offer a systematic account of a tradition that combines both genres into a single genealogical method, augmenting genealogy’s power and range by harnessing the strengths and possibilities of both genres. (shrink)

G.A. Cohen attempts to provide a case for socialism that takes into consideration the reasons why socialism is desirable and some of the problems for its feasibility. He finds that the kind of community sentiment that socialism requires is possible, but the devices of social organization that can facilitate the growth of socialist sentiment along with the effective transmission of information are not currently known. In short, Cohen thinks social scientists and philosophers need to find out how to harness the (...) information transmission capacity of market exchange without the motivational encouragement of rapacious self-interest that market exchange fosters. This paper argues that Cohen’s appraisal of the ineffectiveness of informational transmission in socialist planned economies in incorrect. A democratically planned socialist economy can serve as the basis for the fostering of the socialist community sentiment that Cohen advocates along with the required transmission of economic information. (shrink)

Årets Hägerströmföreläsningar i Uppsala gavs i februari av den norske filosofen Dagfinn Føllesdal. Ämnet var "Mening og Erfaring". Dagfinn Føllesdal doktorerade 1961 vid Harvard med Willard Van Quine som handledare på en avhandling om kvantifierad modallogik. Han blev internationellt känd främst för studier om Husserls fenomenologi och dess förhållande till Frege samt för sina arbeten om Quines språkfilosofi. Allt sedan 60-talet har Føllesdal delat sin tid mellan Oslouniversitetet och Stanforduniversitetet i Kalifornien. I sina föreläsningar diskuterade Føllesdal meningsbegreppet med anknytning till (...) teorier formulerade av sådana tidigare Hägerströmföreläsare som Quine, Davidson och Kripke. En utgångspunkt för framställningen var Quines empiristiska syn på språket: Allt vi kan lära om omvärlden och varandra, inklusive språket, är grundat på socialt tillgänglig evidens. Enligt Quines uppfattning är språket väsentligen ett socialt fenomen. Detta innebär att: (i) språket har blivit till genom en social process; (ii) individens inlärning av språket sker på basen av socialt tillgänglig information; och (iii) användningen av språket är en social process. Den centrala frågeställningen som diskuterades i föreläsningarna var: Hur skall vi utifrån en empiristisk syn på språket förstå mening och kommunikation? Quine var den förste att på ett helt explicit sätt formulera denna problemställning. (shrink)

As systems based on opaque Artificial Intelligence (AI) continue to flourish in diverse real-world applications, understanding these black box models has become paramount. In response, Explainable AI (XAI) has emerged as a field of research with practical and ethical benefits across various domains. This paper not only highlights the advancements in XAI and its application in real-world scenarios but also addresses the ongoing challenges within XAI, emphasizing the need for broader perspectives and collaborative efforts. We bring together experts from diverse (...) fields to identify open problems, striving to synchronize research agendas and accelerate XAI in practical applications. By fostering collaborative discussion and interdisciplinary cooperation, we aim to propel XAI forward, contributing to its continued success. Our goal is to put forward a comprehensive proposal for advancing XAI. To achieve this goal, we present a manifesto of 27 open problems categorized into nine categories. These challenges encapsulate the complexities and nuances of XAI and offer a road map for future research. For each problem, we provide promising research directions in the hope of harnessing the collective intelligence of interested stakeholders. (shrink)

Andreas Schmidt and Neil Levy have recently defended nudging against the objection that nudges fail to treat nudgees as rational agents. Schmidt rejects two theses that have been taken to support the objection: that nudges harness irrational processes in the nudgee, and that they subvert the nudgee’s rationality. Levy rejects a third thesis that may support the objection: that nudges fail to give reasons. I argue that these defences can be extrapolated from nudges to some nonconsensual neurointerventions; if Schmidt’s and (...) Levy’s defences succeed, then some nonconsensual neurointerventions neither harness irrationality, nor subvert rationality, nor fail to give reasons. This, I claim, poses a challenge both to opponents of nonconsensual neurointerventions, and to defenders of nudging. (shrink)

This paper evaluates the prospects of harnessing “anti-individualism” about the contents of perceptual states to give an account of the epistemology of perception, making special reference to Tyler Burge’s ( 2003 ) paper, “Perceptual Entitlement”. I start by clarifying what kind of warrant is provided by perceptual experience, and I go on to survey different ways one might explain the warrant provided by perceptual experience in terms of anti-individualist views about the individuation of perceptual states. I close by motivating (...) accounts which instead give a more prominent role to consciousness. (shrink)

Digital humanities research has developed haphazardly, with substantive contributions in some disciplines and only superficial uses in others. It has made almost no inroads in philosophy; for example, of the nearly two million articles, chapters, and books housed at philpapers.org, only sixteen pop up when one searches for ‘digital humanities’. In order to make progress in this field, we demonstrate that a hypothesis-driven method, applied by experts in data-collection, -aggregation, -analysis, and -visualization, yields philosophical fruits. “Call no one happy until (...) they are dead.” “De mortuis nil nisi bonum.” These ancient norms still inform how we speak of the dead. From their beginnings in the nineteenth century, modern obituaries have been both practical and honorary. They are written with two aims: to pay respect to the deceased and to inspire the living to follow in their footsteps. The obituary of William Custis of Virginia exemplifies these aims, say that “it is due to his memory publicly to record his virtues,” and that “There is in the life a noble, independent and honest man, something so worthy of imitation, something that so strongly commends itself to the approbation of the virtuous mind, that his name should not be left to oblivion” (Daily National Intelligencer, 18 November 1838). Likewise, philosophers have emphasized that we can determine what counts as a virtue for a given type of person in a given community by analyzing what people say about the dead (Zagzebski, L. Virtues of the Mind. Cambridge University Press, 1996, p. 135). By adhering to norms of praise, admiration, and respect, obituaries reveal what counts as a virtue, value, or constituent of wellbeing (VVC) for a particular type of person in a particular community. -/- One way to explore this insight would be to close-read a small number of obituaries of people from intersecting demographics, crossing dimensions such as gender, age, race, class, educational attainment, veteran status, religion, and location. Another, which we demonstrate in this chapter, is to harness digital humanities resources to distance-read a much larger number of obituaries, extracting both demographic meta-data and first-order content expressive of VVC. We then analyze and visualize this information to establish the structures of VVC associated with different types of people in different communities, arguing that data-science measures such as eigenvector centrality can be used to identify cardinal virtues. We also explain the rudiments of our text- and meta-data mining, our method of aggregating and comparing texts, and our visualization techniques. In so doing, we pave the way for researchers in philosophy and related fields to generate similar analyses and visualizations. (shrink)

The term “dictator” may have a strong impression on many of us because it is usually associated with destructive consequences, like the Holocaust directed by Adolf Hitler and the Great Purge ordered by Joseph Stalin. Yet, little is known about how a dictator-to-be can harness the power and rise into power. This chapter proposes a psycho-political mechanism that enables a dictator-to-be to harness the power generated from disinformation-induced hysteria. The conceptual framework is constructed using the mindsponge-based analytical framework and the (...) SM3D theory (Serendipity-Mindsponge-3D). The framework can help examine cases of dictatorship and prospect potential dictators, which gives our societies insights and preparations to reduce the possible rise of dictatorship in the future. This chapter is placed at the end of the book to wrap up the process of describing and discussing the mindsponge thinking approach in the book from simplicity to complexity. (shrink)

A growing body of work argues that we should reform problematic emotions like anxiety, anger, and shame: doing this will allow us to better harness the contributions that these emotions can make to our agency and wellbeing. But feminist philosophers worry that prescriptions to correct these inappropriate emotions will only further marginalize women, minorities, and other members of subordinated groups. While much in these debates turns on empirical questions about how we can change problematic emotion norms for the better, to (...) date, little has been done by either side to assess how we might do this, much less in ways that are responsive to the feminists’ worries. Drawing on research in cognitive science, this paper argues that though the feminists’ worries are real, the leading proposals for remedying them are inadequate. It then develops an alternative strategy for reshaping problematic emotion norms—one that’s sensitive to the feminists’ concerns. (shrink)

Since Circular 34 from the Ministry of Science and Technology of Vietnam required the head of the national project to have project results published in ISI/Scopus journals in 2014, the field of economics has been dominating the number of nationally-funded projects in social sciences and humanities. However, there has been no scientometric study that focuses on the difference in productivity among fields in Vietnam. Thus, harnessing the power of the SSHPA database, a comprehensive dataset of 1,564 Vietnamese authors (854 (...) males, 705 females) with 2,410 publications in the 2008 – 2018 period was extracted and analyzed. Various factors were considered including age, gender, new authors, leading authors, co-authorship, and Impact Factor. The findings suggest a high level of contribution from authors at the age of 40 – 44 in economics (858 publications) in a 12-years period, which is equivalent to the social medicine total output, and two times more than the total output of the education. Moreover, the presence and reinforcement of male researchers are still dominating in Economics and other fields, with the only exception of education. Despite the rapid rise in the number of Vietnamese lead authors, gender disparity among disciplines is an issue. Contrary to the strong international collaboration-oriented tendency in social medicine, economics, and other fields, educational authors are not open to international collaborating. Finally, most of the publications in economics belong to the group with JIF from 0 to 2, in contrast with the high number of social medicine publications with JIF from 2 to 5, which suggesting the field of economics is fulfilling the quantity, but still, need more quality publications. (shrink)

Accounts of aesthetic valuing emphasize two constraints on the formation of aesthetic belief. We must form our own aesthetic beliefs by engaging with aesthetic value first-hand (the acquaintance principle) and by using our own capacities (the autonomy principle). But why? C. Thi Nguyen’s proposal is that aesthetic valuing has an inverted structure. We often care about inquiry and engagement for the sake of having true beliefs, but in aesthetic engagement this is flipped: we care about arriving at good aesthetic beliefs (...) for the sake of the values that arise in the process of doing so. The engagement is the point, so we must use our own capacities in first-hand encounters. Here I challenge Nguyen’s account. I argue that it misconstrues the value of aesthetic belief; it conflicts with restrictions on aesthetic testimony; and it has trouble harnessing engagement-value for a theory of aesthetic value. A better approach emphasizes the social character of aesthetic valuing. On this view, aesthetic valuing is a social practice structured around the collaborative exercise and improvement of certain special capacities. The autonomy and acquaintance principles tell us to engage these capacities in forming our aesthetic beliefs. Understood aright, and contrary to consensus, these rules are identical. (shrink)

Conceptual engineering is a philosophical method that aims to design and spread conceptual and linguistic devices to cause meaningful changes in the world. So far, however, conceptual engineers have struggled to successfully spread the conceptual and linguistic entities they have designed to their target communities. This paper argues that conceptual engineering is far more likely to succeed if it incorporates empirical data and empirical methods. Because the causal factors influencing successful propagation of linguistic or conceptual devices are as complicated and (...) interwoven as they are, proper empirical research will greatly boost the likelihood that propagation is successful. In arguing for the superiority of empirical conceptual engineering over armchair-based conceptual engineering, this paper proposes a framework for understanding the causal forces at play in propagation. This is a three-part framework between the label of a lexical item, the psychological states associated with the lexical item, and the worldly things associated with the lexical item. By understanding the way causal forces affecting propagation play out at these three levels, conceptual engineers can better conceptualize, study, and harness the different causal forces affecting the success of their conceptual engineering projects. (shrink)

It is often suggested that social media is a hostile environment for critical thinking and that a major source for epistemic problems concerning social media is that it facilitates emotions. We argue that emotions per se are not the source of the epistemic problems concerning social media. We propose that instead of focusing on emotions, we should focus on the affective scaffolding of social media. We will show that some affective scaffolds enable desirable epistemic practices, while others obstruct beneficial epistemic (...) practices, or enable hostile epistemic practices. Particularly, we will show that emotions play a crucial role in the epistemic practice of critical thinking and that the affective scaffolding of social media can support, or hinder, online critical thinking. The upshot of our argument is that affective scaffoldings of social media can harness emotions to support beneficial epistemic practices, like online critical thinking. (shrink)

Abstract: This research paper explores the transformative impact of artificial intelligence (AI) on digital media, examining both the opportunities it presents and the challenges it poses. The integration of AI into digital media has revolutionized content creation, distribution, and analytics, offering unprecedented levels of personalization, efficiency, and insight. Automated journalism, AI- driven recommendation systems, and advanced audience analytics are among the key areas where AI is making significant contributions. However, the adoption of AI also brings ethical considerations, including concerns about (...) bias, privacy, and transparency. This paper analyzes case studies of successful and unsuccessful AI implementations in digital media, highlighting lessons learned and best practices. Finally, it looks ahead to future trends and developments, providing a comprehensive overview of the current state and potential future of AI in digital media. Through this exploration, the paper aims to provide valuable insights for academics, industry professionals, and policymakers on harnessing the power of AI while addressing its challenges. (shrink)

This article presents a new account of the relationship between Michel Foucault’s work and neoliberalism, aiming to show that the relationship is significantly more complicated than either Foucault’s critics or defenders have appreciated in the recent controversy. On the one hand, I argue that Foucault’s salutary response to some of Gary Becker’s ideas in the lecture course from 1979 should be read together with the argument of Discipline and Punish. By means of this contextualization I show that Foucault’s sympathetic response (...) to Becker is limited to the domain of penal practices, specifically concerning the question of how to resist their rationality of normalization, and thus it involves no broader commitment to neoliberal economic theory or its political implications. On the other hand, however, I argue that there is a strategic allegiance between Foucault’s work and the ascendance of the neoliberal rationality of governing, although it has nothing to do with his sympathetic engagement with Becker’s work. Instead, I explain how Foucault’s focus on the political stakes of subjectivity has helped to congeal, in the posthumous neoliberal context, a conception of politics that leaves out the topic of economic equality. To explain how Foucault’s work has had this unintended yet lasting effect, I introduce the concept of topical exclusion. It designates a social mechanism of producing ignorance, which operates by directing attention instead of creating false consciousness. The strategic relationship between Foucault’s work and neoliberalism today illustrates that this type of explanation is essential in the analysis of power relations. Thus, my account motivates the adoption of topical exclusion as a conceptual supplement that equips the Foucaultian framework to study cases in which relations of power harness, produce, and sustain ignorance, not knowledge. (shrink)

Abstract: Artificial Intelligence (AI) has rapidly advanced, offering significant potential to transform business decision-making. This paper delves into how AI can be harnessed to enhance strategic decision-making within business contexts. It investigates the integration of AI-driven analytics, predictive modeling, and automation, emphasizing their role in improving decision accuracy and operational efficiency. By examining current applications and case studies, the paper underscores the opportunities AI offers, including improved data insights, risk management, and personalized customer experiences. It also addresses the challenges businesses (...) face when adopting AI, such as data privacy concerns, integration difficulties, and the need for skilled professionals. The paper concludes by offering recommendations for successfully implementing AI solutions to maximize benefits while mitigating potential challenges. (shrink)

Abstract: The COVID-19 pandemic has posed unprecedented challenges to global healthcare systems, necessitating accurate and timely forecasting of cases for effective mitigation strategies. In this research paper, we present a novel approach to predict COVID-19 cases using Artificial Neural Networks (ANNs), harnessing the power of machine learning for epidemiological forecasting. Our ANNs-based forecasting model has demonstrated remarkable efficacy, achieving an impressive accuracy rate of 97.87%. This achievement underscores the potential of ANNs in providing precise and data-driven insights into the (...) dynamics of the pandemic. However, this paper underscores the critical importance of a comprehensive evaluation beyond accuracy, including metrics such as sensitivity, specificity, and the area under the ROC curve (AUC-ROC), to assess the model's performance robustness. The research paper offers detailed insights into the architecture of the ANN model, encompassing critical hyperparameters, data preprocessing techniques, and regularization strategies employed to optimize model accuracy. Ethical considerations surrounding data privacy and potential biases within the COVID-19 dataset are also addressed. While the achieved accuracy is a significant milestone, this study underscores the dynamic and evolving nature of the pandemic, necessitating continuous model refinement and validation. Furthermore, it emphasizes the importance of considering false positives and false negatives in the context of public health decision-making. In conclusion, this research contributes to the arsenal of tools available for pandemic management by showcasing the potential of ANNs in COVID-19 case forecasting. It encourages ongoing exploration and adaptation of predictive models to enhance their applicability in real-world public health scenarios, ultimately contributing to more effective pandemic control and response efforts. (shrink)

Nudge is a popular public policy tool that harnesses well-known biases in human judgement to subtly guide people’s decisions, often to improve their choices or to achieve some socially desirable outcome. Thanks to recent developments in artificial intelligence (AI) methods new possibilities emerge of how and when our decisions can be nudged. On the one hand, algorithmically personalized nudges have the potential to vastly improve human daily lives. On the other hand, blindly outsourcing the development and implementation of nudges to (...) “black box” AI systems means that the ultimate reasons for why such nudges work, that is, the underlying human cognitive processes that they harness, will often be unknown. In this paper, we unpack this concern by considering a series of examples and case studies that demonstrate how AI systems can learn to harness biases in human judgment to reach a specified goal. Drawing on an analogy in a philosophical debate concerning the methodology of economics, we call for the need of an interdisciplinary oversight of AI systems that are tasked and deployed to nudge human behaviours. (shrink)

I anledning af Judith Butlers forelæsning om klimasorg på KU er jeg blevet bedt om at besvare spørgsmålet om, hvad man kan bruge Butlers tænkning til i dag og om den stadig er aktuel. Min første tanke var at besvare spørgsmålet med svaret: Man kan bruge Butlers tænkning til ALT! Men for at fokusere mit svar, har jeg besluttet mig for at gennemgå Butlers tænkning i forhold til spørgsmålet om prekære liv og vold og ikke-vold, og hvordan disse emner udspringer (...) af Butlers tænkning om køn i 1990’erne. /// In connection with Judith Butler's lecture on climate grief at KU, I have been asked to answer the question of how Butler's thinking could be used today and whether it is still relevant. My first thought was to answer the question with the answer: You can use Butler's thinking for EVERYTHING! However, to focus my answer, I have decided to review Butler's thinking in relation to the issues of precarious lives and violence and non-violence and how these issues stem from Butler's thinking on gender in the 1990s. (shrink)

This paper is about a problem that can arise when we try to harness the “wisdom of the crowd” from groups comprised of individuals who exhibit a certain kind of epistemic humility in the way they respond to testimonial evidence. I begin by setting out the problem and then make some initial steps toward solving it. The solution I develop is tentative and may not apply in all circumstances, but it promises to alleviate what seems to me to be a (...) problem of both theoretical interest and practical importance. (shrink)

In the 1980s and early 1990s, the normativity of meaning was thought to be more-or-less 'incontestable.' But in the last 25 years, many philosophers of mind and language have contested it in several seemingly different ways. This, however, is somewhat illusory. There is an unappreciated commonality among most anti-normativist arguments, and this commonality, I argue, poses a problem for anti-normativism. The result, however, is not a wholesale rejection of anti-normativism. Rather, an insight from the anti-normativist position can be harnessed to (...) reveal an unappreciated position in the normativity of meaning debate. (shrink)

Abstract: Rice, as a paramount staple crop worldwide, sustains billions of lives. Precise classification of rice types holds immense agricultural, nutritional, and economic significance. Recent advancements in machine learning, particularly Artificial Neural Networks (ANNs), offer promise in enhancing rice type classification accuracy and efficiency. This research explores rice type classification, harnessing neural networks' power. Utilizing a rich dataset from Kaggle, containing 18,188 entries and key rice grain attributes, we develop and evaluate a neural network model. Our neural network, featuring (...) a single hidden layer, achieves remarkable results—a staggering 100% accuracy and a minute average error rate of 0.000001. Beyond performance metrics, we delve into the intricacies of rice type classification through feature importance analysis. The most influential features—'id,' 'Area,' 'MajorAxisLength,' 'MinorAxisLength,' 'Eccentricity,' 'ConvexArea,' 'EquivDiameter,' 'Extent,' 'Perimeter,' 'Roundness,' and 'AspectRatio'—uncover the physiological traits underpinning accurate rice classification. This research contributes to advancing rice classification methods and highlights the potential of ANNs in optimizing agricultural practices, ensuring food safety, and bolstering global trade. (shrink)

Nietzsche talks about trust [vertraue*] and mistrust [misstrau*] in all of his published and authorized works, from The Birth of Tragedy to Ecce Homo. He refers to trust in 90 passages and mistrust in 101 – approximately ten times as often as he refers to resentment/ressentiment. Yet the scholarly literature on Nietzsche and trust includes just a handful of publications. Worse still, I have been unable to find a single publication devoted to Nietzsche and mistrust. This chapter aims to fill (...) the gap in the secondary literature by using digital humanities methods to systematically investigate the functions of trust and mistrust in Nietzsche’s writings. I argue that Nietzsche offers three main insights into trust and an additional two into mistrust. When it comes to trust, in his free spirit works, he reflects on the development of interpersonal trust, with an eye to situations in which trust is or is not reciprocated. He also criticizes some of the heuristics people use to identify trustworthy partners, especially the notion that all and only people with stable character are trustworthy. And perhaps Nietzsche’s most interesting thoughts about trust relate to self-trust, which he thinks is often unjustifiably undermined. When it comes to mistrust, although he regards generalized mistrust as a sign of bad character, he also thinks that harnessing mistrust can be valuable in at least two domains. One is morality, where we are disposed to accept traditional pieties and would benefit from turning a suspicious eye towards these pieties. The other is science, which systematizes both trust and mistrust in pursuit of the truth. (shrink)

Artificial agents create significant moral opportunities and challenges. Over the last two decades, discourse has largely focused on the concept of a ‘responsibility gap.’ We argue that this concept is incoherent, misguided, and diverts attention from the core issue of ‘control gaps.’ Control gaps arise when there is a discrepancy between the causal control an agent exercises and the moral control it should possess or emulate. Such gaps present moral risks, often leading to harm or ethical violations. We propose a (...) second-order ‘duty of moral control’ that mandates closing these gaps to reduce risks within acceptable moral limits. Our analysis encompasses both autonomous machines and collective agents, acknowledging their similarities and key differences in constitution and moral status. We suggest four methods to close control gaps: ensuring artificial agents attain moral agency, providing meaningful human control, implementing safety engineering, and employing social control. These methods aim to responsibly integrate artificial agents into society. We conclude that a realistic approach, which addresses the practical problems posed by control gaps, is essential. This approach provides solutions to manage the risks posed by artificial agents while maintaining acceptable moral standards, ensuring we responsibly harness their potential and address the ethical challenges they present. (shrink)

Furthermore, the paper delves into the role of hospital management and policy in easing the digital transition and fostering a more harmonious work-life balance. By analyzing technological tools and frameworks in telemedicine, the research identifies areas where improvements can be made, offering recommendations for enhancing doctors' digital efficiency while promoting better work-life harmony. This study contributes to understanding how technology can be harnessed to benefit healthcare professionals, particularly in managing the dual demands of professional duties and personal well-being.

One finds, in Maxwell's writings on thermodynamics and statistical physics, a conception of the nature of these subjects that differs in interesting ways from the way that they are usually conceived. In particular, though—in agreement with the currently accepted view—Maxwell maintains that the second law of thermodynamics, as originally conceived, cannot be strictly true, the replacement he proposes is different from the version accepted by most physicists today. The modification of the second law accepted by most physicists is a probabilistic (...) one: although statistical fluctuations will result in occasional spontaneous differences in temperature or pressure, there is no way to predictably and reliably harness these to produce large violations of the original version of the second law. Maxwell advocates a version of the second law that is strictly weaker; the validity of even this probabilistic version is of limited scope, limited to situations in which we are dealing with large numbers of molecules en masse and have no ability to manipulate individual molecules. Connected with this is his concept of the thermodynamic concepts of heat, work, and entropy; on the Maxwellian view, these are concepts that must be relativized to the means we have available for gathering information about and manipulating physical systems. The Maxwellian view is one that deserves serious consideration in discussions of the foundation of statistical mechanics. It has relevance for the project of recovering thermodynamics from statistical mechanics because, in such a project, it matters which version of the second law we are trying to recover. (shrink)

Recent AI progress led to a boost in beneficial applications from multiple research areas including VR. Simultaneously, in this newly unfolding deepfake era, ethically and security-relevant disagreements arose in the scientific community regarding the epistemic capabilities of present-day AI. However, given what is at stake, one can postulate that for a responsible approach, prior to engaging in a rigorous epistemic assessment of AI, humans may profit from a self-questioning strategy, an examination and calibration of the experience of their own epistemic (...) agency – especially to counteract both intentional misdirection by unethical actors and unintentional epistemic self-sabotage. In this paper, we expound on a new avenue of utilizing AIVR tools to advance an AI-related misdirection awareness of humans in the deepfake era. Firstly, we harness scientific knowledge from the psychology and neuroscience of magic where the study of misdirection techniques is center stage. Secondly, we connect the latter to creativity research linking human creative potential to inspiration from the seemingly impossible. Overall, AIVR could become an empowering experiential testbed for human epistemic agency enabling a better rational evaluation of AI capabilities. However, a misuse of the same type of tools could yield AIVR safety risks if not counteracted preemptively. (shrink)

According to a recent interpretive orthodoxy, Spinoza is a profoundly democratic theorist of state authority. I reject this orthodoxy. To be sure, for Spinoza, a political order succeeds in proportion as it harnesses the power of the people within it. However, Spinoza shows that political inclusion is only one possible strategy to this end; equally if not more useful is political exclusion, so long as it maintains what I call the depoliticised acquiescence of those excluded.

Nietzsche has sometimes been interpreted as endorsing an error theory about moral judgements. A host of passages provide prima facie reason for such an interpretation. However, the extent of the appropriateness of this interpretation is a matter of dispute. The parameters of his alleged error theory are unclear. This paper reconsiders the evidence for the view that Nietzsche is a moral error theorist and makes the case that Nietzsche defends a local theory about a particular form of “morality,” but that (...) a global error theory about value judgments in general is not established by the textual evidence. This view is defended by considering Nietzsche's affinities with Hume and how they are better harnessed in service of a projectivist error-theoretic reading as opposed to alternatives in the secondary literature (such as noncognitivist readings). Moreover, it explores how Nietzsche can continue to make genuine (that is, nonfictionalist) evaluative judgments by his drawing of a distinction between conventional evaluative practice expressive of herd morality on the one hand and a revisionary evaluative practice available to a small number of “higher types” or “free spirits” on the other. (shrink)

Heart palpitations, while often benign, can sometimes be indicative of severe underlying conditions requiring immediate intervention. Accurate and swift diagnosis thus remains a clinical priority. "A CLIPS-Based Expert System for Heart Palpitations Diagnosis" represents a novel approach to addressing this challenge, harnessing the power of artificial intelligence and rule-based expert systems. Specifically, this system applies a suite of 7 if-then rules to evaluate potential heart palpitations causes and assign one of three outcomes: 1) A confirmed diagnosis of heart palpitations, (...) 2) A suspected link to cardiovascular diseases, and 3) A possible association with anxiety or stress disorders. The expert system offers an intuitive user interface, allowing for seamless symptom input and instant diagnosis based on user-provided information. This paper explores the various phases of this expert system's lifecycle, including design, implementation, and evaluation. Furthermore, the study situates the system within the broader discourse on rule-based expert systems for heart palpitations diagnosis, critically analyzing their efficiency, potential pitfalls, and ongoing challenges. Through this research, the value of integrating rule-based expert systems in clinical diagnostic processes is highlighted, illustrating its capacity to enhance diagnostic accuracy and patient outcomes. (shrink)