Experts in Artificial Intelligence (AI) development predict that advances in the dvelopment of intelligent systems and agents will reshape vital areas in our society. Nevertheless, if such an advance isn't done with prudence, it can result in negative outcomes for humanity. For this reason, several researchers in the area are trying to develop a robust, beneficial, and safe concept of artificial intelligence. Currently, several of the open problems in the field of AI research arise from the difficulty of avoiding unwanted (...) behaviors of intelligent agents, and at the same time specifying what we want such systems to do. It is of utmost importance that artificial intelligent agents have their values aligned with human values, given the fact that we cannot expect an AI to develop our moral preferences simply because of its intelligence, as discussed in the Orthogonality Thesis. Perhaps this difficulty comes from the way we are addressing the problem of expressing objectives, values, and ends, using representational cognitive methods. A solution to this problem would be the dynamic cognitive approach proposed by Dreyfus, whose phenomenological philosophy defends that the human experience of being-in-the-world cannot be represented by the symbolic or connectionist cognitive methods. A possible approach to this problem would be to use theoretical models such as SED (situated embodied dynamics) to address the values learning problem in AI. (shrink)

Ambitious value learning proposals to solve the AI alignment problem and avoid catastrophic outcomes from a possible future misaligned artificial superintelligence (such as Coherent Extrapolated Volition [CEV]) have focused on ensuring that an artificial superintelligence (ASI) would try to do what humans would want it to do. However, present and future sentient non-humans, such as non-human animals and possible future digital minds could also be affected by the ASI’s behaviour in morally relevant ways. This paper puts forward Sentientist (...) Coherent Extrapolated Volition, an alternative to CEV, that directly takes into account the interests of all sentient beings. This ambitious value learning proposal would significantly reduce the likelihood of risks of astronomical suffering from the ASI’s behaviour, and thus we have very strong pro-tanto moral reasons in favour of implementing it instead of CEV. This fact is crucial in conducting an adequate cost-benefit analysis between different ambitious value learning proposals. (shrink)

Whether it would take one decade or several centuries, many agree that it is possible to create a *superintelligence*---an artificial intelligence with a godlike ability to achieve its goals. And many who have reflected carefully on this fact agree that our best hope for a "friendly" superintelligence is to design it to *learn* values like ours, since our values are too complex to program or hardwire explicitly. But the value learning approach to AI safety faces three particularly philosophical (...) puzzles: first, it is unclear how any intelligent system could learn its final values, since to judge one supposedly "final" value against another seems to require a further background standard for judging. Second, it is unclear how to determine the content of a system's values based on its physical or computational structure. Finally, there is the distinctly ethical question of which values we should best aim for the system to learn. I outline a potential answer to these interrelated puzzles, centering on a "miktotelic" proposal for blending a complex, learnable final value out of many simpler ones. (shrink)

Accuracy-first accounts of rational learning attempt to vindicate the intuitive idea that, while rationally-formed belief need not be true, it is nevertheless likely to be true. To this end, they attempt to show that the Bayesian's rational learning norms are a consequence of the rational pursuit of accuracy. Existing accounts fall short of this goal, for they presuppose evidential norms which are not and cannot be vindicated in terms of the single-minded pursuit of accuracy. I propose an alternative (...) account, according to which learning experiences rationalize changes in the way you value accuracy, which in turn rationalize changes in belief. I show that this account is capable of vindicating the Bayesian's rational learning norms in terms of the single-minded pursuit of accuracy, so long as accuracy is rationally valued. (shrink)

Despite the conclusions from the contemporary philosophy of science, many economists cherish the ideal of positive science. Therefore, value-free economics is still the central paradigm in economics. The first aim of the paper is to investigate economics' axiomatic assumptions from an epistemological perspective. The critical analysis of the literature shows that the positive-normative dichotomy is exaggerated. Moreover, value-free economics is based on normative foundations that have a negative impact on individuals and society. The paper's second aim is to (...) show that economics' normativity is not a problem because the discussion concerning values is possible and unavoidable. In this context, Weber and other methodologists are investigated. The conclusion of the paper is that science can thrive without strict methodological rules thanks to institutional mechanisms. Therefore, economists could learn from artists who accept the world without absolute rules. This perspective opens the possibility for methodological pluralism and normative approaches. (shrink)

Much of my working life has been devoted to trying to get across the point that we urgently need to bring about a revolution in the aims and methods of academic inquiry, so that the basic aim becomes to seek and promote wisdom rather than just acquire knowledge.

One of the main worries with machine learning model opacity is that we cannot know enough about how the model works to fully understand the decisions they make. But how much is model opacity really a problem? This chapter argues that the problem of machine learning model opacity is entangled with non-epistemic values. The chapter considers three different stages of the machine learning modeling process that corresponds to understanding phenomena: (i) model acceptance and linking the model to (...) the phenomenon, (ii) explanation, and (iii) attributions of understanding. At each of these stages, non-epistemic values can, in part, determine how much machine learning model opacity poses a problem. (shrink)

Value Sensitive Design (VSD) is an established method for integrating values into technical design. It has been applied to different technologies and, more recently, to artificial intelligence (AI). We argue that AI poses a number of challenges specific to VSD that require a somewhat modified VSD approach. Machine learning (ML), in particular, poses two challenges. First, humans may not understand how an AI system learns certain things. This requires paying attention to values such as transparency, explicability, and accountability. (...) Second, ML may lead to AI systems adapting in ways that ‘disembody’ the values embedded in them. To address this, we propose a threefold modified VSD approach: 1) integrating a known set of VSD principles (AI4SG) as design norms from which more specific design requirements can be derived; 2) distinguishing between values that are promoted and respected by the design to ensure outcomes that not only do no harm but also contribute to good; and 3) extending the VSD process to encompass the whole life cycle of an AI technology in order to monitor unintended value consequences and redesign as needed. We illustrate our VSD for AI approach with an example use case of a SARS-CoV-2 contact tracing app. (shrink)

This study explores a liberatory epistemic virtue that is suitable for good learning as a form of liberating socially situated epistemic agents toward ideal virtuousness. First, I demonstrate that the weak neutralization of epistemically bad stereotypes is an end of good learning. Second, I argue that weak neutralization represents a liberatory epistemic virtue, the value of which derives from liberating us as socially situated learners from epistemic blindness to epistemic freedom. Third, I explicate two distinct forms of (...) epistemic transformation: constitutive and causal epistemic transformation. I argue that compared with the ideal conception of epistemic virtue, constitutive epistemic transformation that involves good learning has a transcendent value in light of agents constantly renewing their default epistemic status toward ideal virtuousness. (shrink)

This is a 2000-word review of Eva Kittay's recent book on cognitive disability.

Online education has become an essential component of education. Thus, several factors, such as the student’s learning strategy and motivation, generally contribute to their academic success. This study investigates the relationship between learning strategies, motivation, and online learning environment among 150 first-year college students. Employing correlational design, the statistical findings of the study reveal that the r coefficient of 0.59 indicates a moderate positive correlation between the variables. The p-value of 0.00, which is less than 0.05, (...) leads to the decision to reject the null hypothesis. Hence, a significant relationship exists between learning strategies, motivation, and the online learning environment. (shrink)

This study was conducted by an academic research team at PRINCESS NOURAH BINT ABDULRAHMAN UNIVERSITY with the purpose of promoting the levels of healthy, value and ethical awareness among the students to limit the effects of covid-19. The study applied the descriptive, analytic survey approach to document the conceptions 0f the public education instructors throughout KSA concerning their role in raising the cognitive aspects and healthy and ethical skills for encountering coronavirus pandemic (COVID-19). The study population included all the (...) instructors of public education (male & female) in all the Kingdom governorates with its both public and private sectors amounting (525,610) instructors as per the MINISTRY OF EDUCAYION statistics for the school year (1441 H ) . The sample contained 357 instructors (male& female). For this purpose, the researchers designed a questionnaire. The study concluded that there is a high level of conceptions of the instructors about their cognitive skills, healthy and ethical responsibility for providing awareness about coronavirus pandemic (COVID-19) . The study proposes some supporting and effective strategies to achieve such online learning under this pandemic. (shrink)

Current methods of operationalizing concepts of misinformation in machine learning are often problematic given idiosyncrasies in their success conditions compared to other models employed in the natural and social sciences. The intrinsic value-ladenness of misinformation and the dynamic relationship between citizens' and social scientists' concepts of misinformation jointly suggest that both the construct legitimacy and the construct validity of these models needs to be assessed via more democratic criteria than has previously been recognized.

Purpose. The purpose of this study is to investigate how professionals learn from varying experiences with errors in health-care digitalization and develop and use negative knowledge and digital ignorance in efforts to improve digitalized health care. Design/methodology/approach. A two-year qualitative field study was conducted in the context of a public health-care organization working with digital patient communication. The data consisted of participant observation, semistructured interviews and document data. Inductive coding and a theoretically informed generation of themes were applied. Findings. The (...) findings show that both health-care and digital communication professionals learn through experiences with digital “rule-” and “knowledge-based” errors in patient communication and develop negative knowledge and awareness of digital ignorance. In their joint efforts, they use negative knowledge to “bend the rules” and to explore digital ignorance in efforts to improve patient communication. Originality/value. This study provides insight into the importance of collaboration between professionals with varying experience of errors in digitalizing patient communication. Such collaboration is required to acknowledge own shortcomings and create complementary negative knowledge to improve digital patient communication. This is particularly important when working with innovative digitalization in health care. (shrink)

It has been argued that some recent experimental findings about the mere exposure effect can be used to argue for aesthetic antirealism: the view that there is no fact of the matter about aesthetic value. The aim of this paper is to assess this argument and point out that this strategy, as it stands, does not work. But we may still be able to use experimental findings about the mere exposure effect in order to engage with the aesthetic realism/antirealism (...) debate. However, this argument would need to proceed very differently and would only support a much more modest version of aesthetic antirealism. (shrink)

In the Lunyu, Confucius remarks on the implausibility—or impossibility—of a life lacking in xin 信, reliability (2.22). In existing discussions of Confucian philosophy, this aspect of life is often eclipsed by greater emphasis on Confucian values such as ren 仁 (benevolence), li 禮 (propriety) and yi 義 (rightness). My discussion addresses this imbalance by focusing on reliability, extending current debates in two ways. First, it proposes that the common translation of xin as denoting coherence between a person’s words and deeds (...) is inadequate. The translation fails to capture the longer-term consistency in a person’s actions and behaviours in different circumstances across time. Second, it explores how the Lunyu passages discuss the processes of learning that prepare a person for reliable action. (shrink)

Although current educational priorities tend to avoid strong moral positions, one of the world's most venerable yet persistently influential moral traditions not only lays out a number of major moral principles but also incorporates them into its pedagogy. Confucius teaches us about the importance of seeking knowledge, learning how to learn, applying ancient wisdom to contemporary situations, valuing virtue over material gain, following the Golden Rule, and living by our principles. He also has ways of assessing his own students' (...) progress in these matters. Confucius' pedagogy is an interesting model to consider and contrast with contemporary models. This chapter introduces these principles and assessments from the Analects and draws out some comparisons to and contrasts with two alternative theories in western moral thought, Augustine and John Dewey. -/- The accepted version of the paper is included here. Pagination does not match the published version. (shrink)

2nd edition. Many-valued logics are those logics that have more than the two classical truth values, to wit, true and false; in fact, they can have from three to infinitely many truth values. This property, together with truth-functionality, provides a powerful formalism to reason in settings where classical logic—as well as other non-classical logics—is of no avail. Indeed, originally motivated by philosophical concerns, these logics soon proved relevant for a plethora of applications ranging from switching theory to cognitive modeling, and (...) they are today in more demand than ever, due to the realization that inconsistency and vagueness in knowledge bases and information processes are not only inevitable and acceptable, but also perhaps welcome. The main modern applications of (any) logic are to be found in the digital computer, and we thus require the practical knowledge how to computerize—which also means automate—decisions (i.e. reasoning) in many-valued logics. This, in turn, necessitates a mathematical foundation for these logics. This book provides both these mathematical foundation and practical knowledge in a rigorous, yet accessible, text, while at the same time situating these logics in the context of the satisfiability problem (SAT) and automated deduction. The main text is complemented with a large selection of exercises, a plus for the reader wishing to not only learn about, but also do something with, many-valued logics. (shrink)

Epistemic peer disagreement raises interesting questions, both in epistemology and in philosophy of science. When is it reasonable to defer to the opinion of others, and when should we hold fast to our original beliefs? What can we learn from the fact that an epistemic peer disagrees with us? A question that has received relatively little attention in these debates is the value of epistemic peer disagreement—can it help us to further epistemic goals, and, if so, how? We investigate (...) this through a recent case in paleoanthropology: the debate on the taxonomic status of Homo floresiensis remains unresolved, with some authors arguing the fossils represent a novel hominin species, and others claiming that they are Homo sapiens with congenital growth disorders. Our examination of this case in the recent history of science provides insights into the value of peer disagreement, indicating that it is especially valuable if one does not straightaway defer to a peer’s conclusions, but nevertheless remains open to a peer’s evidence and arguments. (shrink)

This paper critically examines Japan's approach toward the adoption of Generative AI such as ChatGPT in education via studying media discourse and guidelines at both the national as well as local levels. It highlights the lack of consideration for socio-cultural characteristics inherent in the Japanese educational systems, such as the notion of self, teachers’ work ethics, community-centric activities for the successful adoption of the technology. We reveal ChatGPT’s infusion is likely to further accelerate the shift away from traditional notion of (...) self, which has been ongoing during past educational reforms, towards active and self-directed learning. The current discourse on Generative AI’s infusion in education is driven by neoliberal agendas aimed at increasing employability and individualism. Moreover, the introduction of ChatGPT in the context of Japan's educator culture offers potential solutions to address issues of overwork but also necessitates considerations regarding increased responsibilities for teachers and the preservation of their central role in student education. Finally, the irreplicable social growth fostered by community-centric activities in the Japanese educational system highlights the limitations of ChatGPT in replicating dynamic social interactions, emphasizing the importance of holistic approaches to education beyond technological integration. (shrink)

This chapter introduces some central issues in Epistemology, and, like others in the open textbook series Introduction to Philosophy, is set up for rewarding college classroom use, with discussion/reflection questions matched to clearly-stated learning objectives,, a brief glossary of the introduced/bolded terms/concepts, links to further open source readings as a next step, and a readily-accessible outline of the classic between William Clifford and William James over the "ethics of belief." The chapter introduces questions of epistemic value through Plato's (...) famous example of the 'road to Larissa,' and goes on to explain work on doxastic responsibility, on intellectual “virtue”/“vice,” and on epistemic value monism vs. pluralism. Section 1; Epistemic Value and the Value Problem; Section 2: The Ethics of Belief; Section 3: Virtue & Vice Epistemologies; Section 4: Epistemic Paternalism. (shrink)

According to certain normative theories in epistemology, rationality requires us to be logically omniscient. Yet this prescription clashes with our ordinary judgments of rationality. How should we resolve this tension? In this paper, I focus particularly on the logical omniscience requirement in Bayesian epistemology. Building on a key insight by Hacking :311–325, 1967), I develop a version of Bayesianism that permits logical ignorance. This includes: an account of the synchronic norms that govern a logically ignorant individual at any given time; (...) an account of how we reduce our logical ignorance by learning logical facts and how we should update our credences in response to such evidence; and an account of when logical ignorance is irrational and when it isn’t. At the end, I explain why the requirement of logical omniscience remains true of ideal agents with no computational, processing, or storage limitations. (shrink)

Many have argued that certain statues or monuments are objectionable, and thus ought to be removed. Even if their arguments are compelling, a major obstacle is the apparent historical value of those commemorations. Preservation in some form seems to be the best way to respect the value of commemorations as connections to the past or opportunities to learn important historical lessons. Against this, I argue that we have exaggerated the historical value of objectionable commemorations. Sometimes commemorations connect (...) to biased or distorted versions of history, if not mere myths. We can also learn historical lessons through what I call repudiatory honouring: the honouring of certain victims or resistors that can only make sense if the oppressor(s) or target(s) of resistance are deemed unjust, where no part of the original objectionable commemorations is preserved. This type of commemorative practice can even help to overcome some of the obstacles objectionable commemorations pose against properly connecting to the past. (shrink)

The study aimed to determine if differentiated instruction effectively addresses learning gaps in mathematics. In particular, it explored how it can improve the student’s learning gaps concerning mathematical performance and confidence. The study employed a quasi-experimental design with 30 purposively-selected Grade 10 participants divided into differentiated (n = 15) and control groups (n = 15), ensuring the utmost ethical measures. The mean and standard deviation were used to describe the participants’ performance and confidence. Independent samples t-tests were used (...) to determine the significant differences in the performance and confidence between the two groups. In contrast, dependent samples t-tests were used to determine the significant differences in each group’s pre and posttest performance and confidence. Findings bared that the differentiated instruction successfully addressed students’ performance in mathematics even in a short period. It also increased the participants’ confidence when answering fundamental problems. Continuing differentiated instruction activities are recommended since it benefits students who struggle in mathematics, particularly in answering fundamental operations. Differentiated teaching activities in mathematics can boost academic achievement and engagement and prepare students for future success while fostering a positive and inclusive classroom culture that values individual learning needs and preferences. (shrink)

The high number of Dengue Hemorrhagic Fever (DHF) cases from year to year and the endemic status of DHF in Kutaraja District, Banda Aceh City encourages us to always make efforts to reduce the morbidity rate of DHF. The involvement of elementary school teachers is very important to participate in DHF control which will teach their students. This study was conducted to assess the effect of before and after administration of the DHF learning module on the average knowledge score (...) of 90 grade IV and V elementary school students in the Kutaraja District, Banda Aceh City. The quasi-experimental method and Focus Group Discussions involving schools and Puskesmas when designing DHF learning modules were conducted. One-group pretest-posttest design, consisting of 25 questions that were analyzed using the Wilcoxon Signed Ranks Test. The study results obtained an average pre-test score of 76.6% and a post-test average value of 90.6%. The DHF learning module was able to increase elementary school students' knowledge. The provision of DHF material by elementary school teachers through modules can be done to students to increase students' knowledge so that they can participate in reducing the incidence of dengue hemorrhagic fever. (shrink)

The use of AI algorithms in criminal trials has been the subject of very lively ethical and legal debates recently. While there are concerns over the lack of accuracy and the harmful biases that certain algorithms display, new algorithms seem more promising and might lead to more accurate legal decisions. Algorithms seem especially relevant for bail decisions, because such decisions involve statistical data to which human reasoners struggle to give adequate weight. While getting the right legal outcome is a strong (...) desideratum of criminal trials, advocates of the relational theory of procedural justice give us good reason to think that fairness and perceived fairness of legal procedures have a value that is independent from the outcome. According to this literature, one key aspect of fairness is trustworthiness. In this paper, I argue that using certain algorithms to assist bail decisions could increase three diferent aspects of judges’ trustworthiness: (1) actual trustworthiness, (2) rich trustworthiness, and (3) perceived trustworthiness. (shrink)

This work investigates one of the most widespread yet elusive ideas about our experience of art: the idea that there is something cognitively valuable in engaging with great artworks, or, in other words, that we learn from them. This claim and the age-old controversy that surrounds it are reconsidered in light of the psychological and neuroscientific literature on learning, in one of the first systematic efforts to bridge the gap between philosophical and scientific inquiries on the topic. The work (...) has five chapters. Chapter 1 lays down its conceptual bases: it explains what learning is taken to be in the current philosophical debate and it points out how Bayesian cognitive science (particularly in its predictive processing formulations) might be well-suited to capture the kind of learning involved in our engagement with the arts. The following chapters test this latter hypothesis with respect to particular art forms, namely literature and literary language (Chapter 2), narrative (Chapter 3), and visual art, music and motor activities (Chapter 4). The fine-grained discussions conducted in each of these areas will enable us to see that the relationship between art and learning is indeed fundamental and pervasive. The final chapter (Chapter 5) examines the consequences of this fact for our understanding of the role of art in our epistemic practices, its ultimate usefulness and value, and its place in the interdisciplinary study of the human mind. The upshot is a novel and wide-ranging picture, both philosophically informed and empirically sound, that bypasses many of the problems and dead ends of the current philosophical debate on the topic and captures the deep sense in which art and learning are interrelated. (shrink)

Harry Frankfurt has a comprehensive and, at times, compelling, account of love, which are outlined in several of his works. However, he does not think that romantic love fits the ideal of love as it ‘includes a number of vividly distracting elements, which do not belong to the essential nature of love as a mode of disinterested concern’. In this paper, I argue that we can, nonetheless, learn some important things about romantic love from his account. Furthermore, I will suggest, (...) conversely, that there is distinct value in romantic love, which derives from the nature of the relationship on which it is based. Frankfurt tries to take agape and reformulate it so that it can also account for love of particular people. Whilst he succeeds, to some extent, in describing parental love, he fails to accurately describe romantic love and friendship, and, moreover, overlooks what is distinctly valuable about them. Although it was not his intention to describe romantic love, by failing to include features such as reciprocity in his account of love, Frankfurt leaves no room for a kind of love that is important and valuable to many people. (shrink)

This paper explores the idea that it is instrumentally valuable to learn normative truths. We consider an argument for "normative hedging" based on this principle, and examine the structure of decision-making under moral uncertainty that arises from it. But it also turns out that the value of normative information is inconsistent with the principle that learning *empirical* truths is instrumentally valuable. We conclude with a brief comment on "metanormative regress.".

Cinema is neither neutral nor a universal medium. Particularly in African contexts, cinema contributes to European exceptionalism, imposes European values as the norm, and acts as an instrument of cultural and psychological control. It seems that African cinema is ontologically, politically, and aesthetically Eurocentric. By introducing an intercultural philosophical approach to the realm of cinema, we aim to move away from Eurocentrism in African cinema towards a more intercultural and dialogical orientation as an input for the liberation of humanity. Based (...) on findings from a dramaturgical analysis of five films, we argue that African cinema shows a deficiency in communicating liberation and it often fails to portray African people’s values, will, and interests as it has been alienated from its nature and purpose. Overall, African cinema seems to be either in a state of assimilation or confusion. By exploring aesthetics of liberation in African cinema and art (as described in African and intercultural philosophy,) we search for alternative film aesthetics and a mode of filmmaking that seeks to liberate the image and the minds of the filmmakers and spectators of African cinema. Inspired by Kimmerle’s aesthetic-ethic alternative ‘Living (with) art’, we propose an alternative for critical filmmaking based on aesthetics of liberation with an intercultural orientation: Living cinema. Living cinema is a dialogical and liberational cinema with aesthetics of liberation at its core. Based on aesthetic-ethic principles of African philosophy and interculturality, the liberating function of living cinema can be found in reconnecting the aesthetics and filmmaking with African values. Simultaneously, it might be contributing to the liberation of world cinema as it has an impact on both the hegemonic and the suppressed cinema. (shrink)

Lake et al. propose three criteria which, they argue, will bring artificial intelligence (AI) systems closer to human cognitive abilities. In this paper, we explore the application of these criteria to a particular domain of human cognition: our capacity for moral reasoning. In doing so, we explore a set of considerations relevant to the development of AI moral decision-making. Our main focus is on the relation between dual-process accounts of moral reasoning and model-free/model-based forms of machine learning. We also (...) discuss how work in embodied and situated cognition could provide a valu- able perspective on future research. (shrink)

Learning and Development (L&D) is an organizational process which helps in the development of knowledge and achievement of individual and organizational goals. This is quantitative research employed a descriptive method to determine the impact of Learning and Development Programs on the Core Competencies of Level II employees of the Pasay City Government. The respondents of this study were the two hundred forty-two (242) randomly selected PCG Level II employees of the City Government of Pasay. This research used a (...) survey technique in terms of identifying the impact of L&D programs on the level II employees’ core competencies. The study found out that the participants perceived as competent and advanced level, which means that they are knowledgeable, can perform the actions associated with this skill without assistance from others, and can mentor/coach others in terms of applying the core competencies to perform official functions in reaching operational targets. The result shows that r value is 0.480; and 0.484, respectively, which indicates that there is a positive correlation between variables. Moreover, the P value is less than the significance level of 0.05, thus, it rejects the null hypothesis and support the notion that a relationship exists between the extent of implementation of L&D Programs and proficiency level of core competencies of Level II employees. It is recommended for organizations to evaluate the effectiveness and capability of their training programs to produce desired results relevant to the organizational goals and objectives. A proposed enhancement program may be considered for the inclusion in the implementation matrix of the HRD (L&D) Plan of the City Government for Level II employees. (shrink)

The Urgent Need for an Intellectual Revolution For much of my working life (from 1972 onwards) I have argued, in and out of print, that we need to bring about a revolution in the aims and methods of science – and of academic inquiry more generally. Instead of giving priority to the search for knowledge, academia needs to devote itself to seeking and promoting wisdom by rational means, wisdom being the capacity to realize what is of value in life, (...) for oneself and others, wisdom thus including knowledge, understanding and technological know-how, but much else besides. A basic task ought to be to help humanity learn how to create a better world. (shrink)

Reflecting on the past is often a critical ingredient for successful learning. The current research investigated how counterfactual thinking, reflecting on how prior experiences might have been different, motivates effective learning from these previous experiences. Specifically, we explored how the structure of counterfactual reflection – their additive (‘‘If only I had”) versus subtractive (‘‘If only I had not”) nature – influences performance in dyadic-level strategic interactions. Building on the functionalist account of counterfactuals, we found across two experiments that (...) generating additive counterfactuals about a previous negotiation produced an advantage for negotiators over their previous performance compared to subtractive counterfactuals, both in terms of obtaining value for oneself and conceiving creative agreements. Additive counterfactuals enabled negotiators to more effectively extract lessons from past experiences to improve their current negotiation performance. (shrink)

This is a response to invited and submitted commentary on "The Pleasure of Art," published in Australasian Philosophical Reviews 1, 1 (2017). In it, I expand on my view of aesthetic pleasure, particularly how the distinction between facilitating pleasure and relief pleasure works. In response to critics who discerned and were uncomfortable with the aesthetic hedonism that they found in the work, I develop that aspect of my view. My position is that the aesthetic value of a work of (...) art is its capacity to elicit from a suitably well-informed consumer a specific kind of pleasure. (shrink)

As inductive decision-making procedures, the inferences made by machine learning programs are subject to underdetermination by evidence and bear inductive risk. One strategy for overcoming these challenges is guided by a presumption in philosophy of science that inductive inferences can and should be value-free. Applied to machine learning programs, the strategy assumes that the influence of values is restricted to data and decision outcomes, thereby omitting internal value-laden design choice points. In this paper, I apply arguments (...) from feminist philosophy of science to machine learning programs to make the case that the resources required to respond to these inductive challenges render critical aspects of their design constitutively value-laden. I demonstrate these points specifically in the case of recidivism algorithms, arguing that contemporary debates concerning fairness in criminal justice risk-assessment programs are best understood as iterations of traditional arguments from inductive risk and demarcation, and thereby establish the value-laden nature of automated decision-making programs. Finally, in light of these points, I address opportunities for relocating the value-free ideal in machine learning and the limitations that accompany them. (shrink)

Primary objective: This study represents the first large-scale research on high school philosophy in a public education curriculum in North America. Our objective was to identify the impacts of high school philosophy, as well as the challenges of teaching it in its current format in Ontario high schools. Research design: The qualitative research design captured the perspectives of students and teachers with respect to philosophy at the high school level. All data collection was structured around central questions to provide insight (...) into the dynamics of their shared process of teaching/learning. Methods and procedures: We conducted semi-structured with interviews philosophy teachers (n = 9), classroom observations (n = 142), and student focus groups at 16 diverse high schools. Transcripts were coded according to themes. Results: Our findings reflect the complicated nature of philosophy as a discipline characterized by abstract thinking. Participants found it mind-opening, yet challenging, providing educational opportunities that are largely absent in conventional schooling. They saw multiple connections between philosophy and other subjects, but also appreciated its distinctive benefits. Teachers relied primarily on textbooks and contemporary media to deliver the curriculum. We found that a teacher’s background in philosophy may influence what is taught in philosophy courses and how, especially given the flexibility of the provincial curriculum. Conclusions: The findings suggest that philosophy is a unique, beneficial subject that teachers enjoy teaching and students greatly value, characterizing it as both difficult and rewarding. Our study revealed that considerable differences exist in how philosophy is taught and learned around the province. The flexibility of the provincial curriculum appears to be an invitation for creative and responsive teaching; however, philosophy teachers’ weak preparation can, by their own admission, be a hindrance to effective curriculum delivery. Studying philosophy enhances students’ thinking about other academic areas of study and in some cases opens them up to new ways of thinking. (shrink)

In this essay, I’ll argue, first, that an art object's aesthetic value (or merit) depends not just on its intrinsic properties, but on the response it evokes from a consumer who shares the producer's cultural background. My question is: what is the role of culture in relation to this response? I offer a new account of aesthetic pleasure that answers this question. On this account, aesthetic pleasure is not just a “feeling” or “sensation” that results from engaging with a (...) work of art. It is rather a mental state that facilitates engagement with an artwork, and (in the long run) enables a consumer to learn how to maximize this kind of pleasure. This is where culture comes in. If you belong to a culture, you know how to engage pleasurably with an artwork that is produced so you can engage with it in just this way. The aesthetic value of an artwork is that it plays into such a culture-pleasure nexus. -/- . (shrink)

Philosophy and Phenomenological Research, EarlyView.

John Tillson argues, on grounds of children’s well-being, that it is impermissible to teach them religious views. I defend a practice of pluralistically advocating religious views to children. As long as there are no monopolies of influence over children, and as long as advocates do not use coercion, deceit, or manipulation, children can greatly benefit without having their rational abilities subverted, or incurring undue risk to form false beliefs. This solution should counter, to some extent, both perfectionist and antiperfectionist reasons (...) against initiating children into religions. (shrink)

We are in a state of impending crisis. And the fault lies in part with academia. For two centuries or so, academia has been devoted to the pursuit of knowledge and technological know-how. This has enormously increased our power to act which has, in turn, brought us both all the great benefits of the modern world and the crises we now face. Modern science and technology have made possible modern industry and agriculture, the explosive growth of the world’s population, global (...) warming, modern armaments and the lethal character of modern warfare, destruction of natural habitats and rapid extinction of species, immense inequalities of wealth and power across the globe, pollution of earth, sea and air, even the aids epidemic (aids being spread by modern travel). All these global problems have arisen because some of us have acquired unprecedented powers to act, via science and technology, without also acquiring the capacity to act wisely. We urgently need to bring about a revolution in universities so that the basic intellectual aim becomes, not knowledge merely, but rather wisdom – wisdom being the capacity to realize what is of value in life, for oneself and others, thus including knowledge and technological know-how, but much else besides. (shrink)

Emily Chamlee-Wright is clearly right that self-censorship is an issue of concern within the academy. How much of a problem it is—how widespread and how bad it is when it occurs—is unclear and difficult to quantify. Administrators, faculty, and students all self-censor from time to time. Sometimes the self-censorship is just a matter of being polite or exercising pedagogical restraint, as Chamlee-Wright notes. The worry, of course, is that sometimes it prevents open and honest discussion about difficult topics and thus (...) stymies learning and truth-seeking. While I will keep these caveats in mind, I also want to help strengthen Chamlee-Wright’s case. I will also, though, point out a difficulty. (shrink)

This paper uses the fictional case of the ‘Babel fish’ to explore and illustrate the issues involved in the controversy about the use of cochlear implants in prelinguistically deaf children. Analysis of this controversy suggests that the development of genetic tests for deafness poses a serious threat to the continued flourishing of Deaf culture. I argue that the relationships between Deaf and hearing cultures that are revealed and constructed in debates about genetic testing are themselves deserving of ethical evaluation. Making (...) good policy about genetic testing for deafness will require addressing questions in political philosophy and anthropology about the value of culture and also thinking hard about what sorts of experiences and achievements make a human life worthwhile. (shrink)

This paper presents REAL, a Real-Valued Attribute Classification Tree Learning Algorithm. Several of the algorithm's unique features are explained by úe users' demands for a decision support tool to be used for evaluating financial operations strategies. Compared to competing algorithms, in our applications, REAL presents maj or advantages : (1) The REAL classification trees usually have smaller error rates. (2) A single conviction (or trust) measure at each leaf is more convenient than the traditional (probability, confidence-level) pair. (3) No (...) need for an external pruning criterion. (shrink)

This study focused on determining the attitudes and academic performance of engineering students in Technological University of the Philippines-Manila. A total of 139 male engineering and 47 female engineering students were the respondents of the study. This only dwell on the attitude in learning English Language Vocabulary in terms of their behavioral aspects, cognitive aspects, and emotional aspects. This is a quantitative study utilized by descriptive and inferential method as the research design. Based on the findings, academic grades strongly (...) correlate with their attitude in learning English vocabulary which is a negative correlation coefficient in all its components with r value of -0.3695 in behavioral, -0.5261 in Cognitive, and -0.4332 in emotional aspect. Their P values is less than .00001 which is significant at p<0.05. Thus, the null hypothesis where there is no significant relationship between their ALEV and academic performance is rejected. The researcher recommends that teachers should enhance creativity in teaching vocabulary which inculcate the positive attitudes and motivation towards learning process. Teachers and parents should encourage the learners to read and watch educational related materials. (shrink)

With the current improvement of development towards pharmaceutical, distinctive ultrasound methodologies are open to find the fetal prosperity. It is analyzed with diverse clinical parameters with 2-D imaging and other test. In any case, prosperity desire of fetal heart still remains an open issue due to unconstrained works out of the hatchling, the minor heart appraise and inadequate of data in fetal echocardiography. The machine learning strategies can find out the classes of fetal heart rate which can beutilized for (...) earlier evaluating. With this background, we have utilized Cardiotocographic Fetal heart rate dataset removed from UCI Machine Learning Store for predicting the fetal heart rate health classes. The Prediction of fetal health rate are achieved in six ways. Firstly, the data set is preprocessed with Feature Scaling and missing values. Secondly, exploratory data investigation is done and the dispersion of target feature is visualized. Thirdly, the raw data set is fitted to all the classifiers and the performance is analysed before and after feature scaling. Fourth, the raw data set is subjected to undersampling methods like ClusterCentroids, RepeatedENN, AllKNN, CondensedNearestNeighbour, EditedNearestNeighbours, InstanceHardnessThreshold and NearMiss. Fifth, the undersampled dataset by above mentioned methods are fitted to all the classifiers and the performance is analyzed before and after feature scaling. Sixth, performance analysis is done using metrics like Precision, Recall, F-score, Accuracy and running time. The execution is done using python language under Spyder platform with Anaconda Navigator. Experimental results shows that the Decision Tree classifier tends to retain 98% before and after feature scaling for the underrsampling with EditedNearestNeighbours, RepeatedENN and AllKNN methods. (shrink)

This paper aims to show errors in common methodology of reasoning about macroeconomic theory. The error comes from confusion about descriptive and scientific methods of inquiry being used as a means of justifying conclusions with a normative basis. I will argue that many tools used in theorizing about the political economy that are thought of as able to express an isolated variable proving a normative point, actually contain normative assumptions which impact the soundness of the conclusion. The hidden values generally (...) serve to justify the status quo. Looking at my argument from a metaperspective, I argue that some popular methodology winds up in the general state of circular reasoning. I will try to weave two arguments together, the first is showing how economic concepts are value-laden, and also that they are implicit values of ideology, and operate as a powerful tool for the status quo. The ideology learns that things must be what they are, because the rest of the ideology seeks to justify it. There is both a factual and a value-driven thesis to this paper. Using examples I show how economic concepts that are thought of as being value neutral, are actually implicitly holding values that uphold the status quo and the growing tides of income inequality. I also wish to demonstrate how ideology constructs the common understanding, and how this effort keeps the populace from seeking emancipatory economic ideals and tax reform. (shrink)

Under what conditions does machine learning (ML) model opacity inhibit the possibility of explaining and understanding phenomena? In this article, I argue that nonepistemic values give shape to the ML opacity problem even if we keep researcher interests fixed. Treating ML models as an instance of doing model-based science to explain and understand phenomena reveals that there is (i) an external opacity problem, where the presence of inductive risk imposes higher standards on externally validating models, and (ii) an internal (...) opacity problem, where greater inductive risk demands a higher level of transparency regarding the inferences the model makes. (shrink)

In many universities and related knowledge transmission organisations, professional focus on empirical data shows as in vocational education that preparation for real life technical work is important, as one would expect from “career education”. University is as the name shows on the contrary focusing on the universality of some sort of education, which is neither a technical one, nor much concerned by preparing oneself for a career. The scope of this chapter is to propose an analysis of inclusion as the (...) very essence of an ethics of reformation of education, which in our opinion cannot come from the institution of education as much as from a common basis between everyday learning capacities and curriculum based learning methods. Inclusive vision and values should be theoretically explained by philosophers in order to be refined and adapted into our current experience of values, pointing out issues about method and knowledge parameters. In particular a focus on epistemic values should bring good indications on how to empower others, and leave a more inclusive life, assuming the somehow paradoxical and surprising idea that knowledge is as important in real life outside the university as it is in the classroom, being the real universal value and currency across disciplines, times and contexts. University learns from being inclusive, i. e. by bringing not only a higher point of view on technical education but also a wider view on the human being. (shrink)