Scientists often use aesthetic values in the evaluation and choice of theories. Aesthetic values are not only regarded as leading to practically more useful theories but are often taken to stand in a special epistemic relation to the truth of a theory such that the aesthetic merit of a theory is evidence of its truth. This paper explores what aesthetic considerations influence scientists' reasoning, how such aesthetic values relate to the utility of a scientific theory, and how (...) one can justify the epistemic role for such values. The paper examines ways in which the link between beauty and truth can be defended, the challenges facing such accounts, and explores alternative epistemic roles for aesthetic values in scientific practice. (shrink)

Philosophers of science now broadly agree that doing good science involves making non-epistemic value judgments. I call attention to two very different normative standards which can be used to evaluate such judgments: standards grounded in ethics and standards grounded in political philosophy. Though this distinction has not previously been highlighted, I show that the values in science literature contain arguments of each type. I conclude by explaining why this distinction is important. Seeking to determine whether some (...) value-laden determination meets substantive ethical standards is a very different endeavor from seeking to determine if it is politically legitimate. (shrink)

Social and medical scientists frequently produce empirical generalizations that involve concepts partly defined by value judgments. These generalizations, which have been called ‘mixed claims’, raise interesting questions. Does the presence of them in science imply that science is value-laden? Is the value-ladenness of mixed claims special compared to other kinds of value-ladenness of science? Do we lose epistemically if we reformulate these claims as conditional statements? And if we want to allow mixed claims in science, do (...) we need a new account of how to reconcile values with objectivity? Alexandrova (2017, 2018) offers affirmative answers to these questions. In responding to Alexandrova’s arguments, this discussion note motivates negative ones and in doing so casts new light on mixed claims. (shrink)

Scientists often refer to their experiments, theories, images and instruments as beautiful and report that their scientific work is a source of aesthetic experiences. How do such aesthetic values affect scientific activities, and can aesthetic values play a cognitive role in science? In this chapter, I identify the different levels at which aesthetic values shape scientific products and processes, reflect on how philosophers have justified the cognitive role of such aesthetic values, and draw insights from (...) recent discussions on the aesthetics of scientific practice for the values in science debate. (shrink)

While classical neo-positivists reject any role for traditionally understood values in science, Kuhn identifies five specific values as criteria for assessing a scientific theory; this approach has been further developed by several other authors. This paper focuses on Helen Longino, who presents a significant contemporary critique of Kuhn’s concept. The most controversial aspect of Longino’s position is arguably her claim that the criterion of empirical adequacy is the least defensible basis for assessing theories. The de-emphasizing of the (...) importance of external consistency as a value and the introduction of socio-political considerations into the processes of an assessment of scientific theories are also considered problematic issues. I provide arguments against Longino’s conception, identify some of its problems, and argue for refusal of her approach. (shrink)

Roughly, empirical AI alignment research (AIA) is an area of AI research which investigates empirically how to design AI systems in line with human goals. This paper examines the role of non-epistemic values in AIA. It argues that: (1) Sciences differ in the degree to which values influence them. (2) AIA is strongly value-laden. (3) This influence of values is managed inappropriately and thus threatens AIA’s epistemic integrity and ethical beneficence. (4) AIA should strive to achieve value (...) transparency, critical scrutiny from inside and outside the discipline – involving the public –, and to empower actors without strong commercial interests. (shrink)

Philosophers of science have come to accept that contextual values can play unavoidable and desirable roles in science. This has raised concerns about the need to distinguish legitimate and illegitimate value influences in scientific inquiry. I discuss here four such concerns: epistemic distortion, value imposition, undermining of public trust in science, and the use of objectionable values. I contend that preserving epistemic integrity and avoiding value imposition provide good reasons to attempt to distinguish between legitimate (...) and illegitimate influences of values in science. However, the trust and the objectionable values concerns constitute no good reason for demarcation criteria. (shrink)

In the first half of the 20 th century, philosophers of science used to sustain that the correct theory acceptance in science derived from their conforming to certain rules. However, from the historicist and practical turn in the philosophy of science, the theory acceptance started to be analyzed based on values rather than on a priori established rules. In this article, I will present four paradigmatic positions on the role of values in science. The (...) first position, articulated by Hugh Lacey, defends a regulative ideal of 'impartiality' in the acceptance of scientific theories as established. The other positions convey arguments that seem to conflict with this ideal. I characterize them as 'blind spot argument', 'inductive risk argument' and 'trust-based acceptance argument'. Based on this analysis, I will defend two main theses. My first thesis is that the ideal of impartiality is compatible with the arguments just mentioned. My second thesis is that the defense of impartiality has the advantage of providing a support for the epistemic authority of properly established scientific knowledge. Following Lacey, I will argue that theories can only be accepted as established under specified domains of phenomena. However, theories are accepted for other purposes, for example, when they are adopted to develop research or when they are endorsed to inform the legitimacy of an action. In such cases of theory acceptance, impartiality is neither possible nor desirable, which requires the support of other ideals. (shrink)

The value-free ideal for science holds that values should not influence the core features of scientific reasoning. We defend the difference-to-inference model of value-permeation, which holds that value-permeation in science is problematic when values make a difference to the inferences made about a hypothesis. This view of value-permeation is superior to existing views, and it suggests a corresponding maxim—namely, that scientists should strive to eliminate differences to inference. This maxim is the basis of a novel value-free (...) ideal for science. -/- . (shrink)

Straightening the current ‘value-laden turn’ (VLT) in the philosophical literature on values in science, and reviving the legacy of the value-free ideal of science (VFI), this paper argues that the influence of extra-scientific values should be minimised—not excluded—in the core phase of scientific inquiry where claims are accepted or rejected. Noting that the original arguments for the VFI (ensuring the truth of scientific knowledge, respecting the autonomy of science results users, preserving public trust in (...) class='Hi'>science) have not been satisfactorily addressed by proponents of the VLT, it proposes four prerequisites which any model for values in the acceptance/rejection phase of scientific inquiry should respect, coming from the fundamental requirement to distinguish between facts and values: (1) the truth of scientific knowledge must be ensured; (2) the uncertainties associated with scientific claims must be stated clearly; (3) claims accepted into the scientific corpus must be distinguished from claims taken as a basis for action. An additional prerequisite of (4) simplicity and systematicity is desirable, if the model is to be applicable. Methodological documents from international institutions and regulation agencies are used to illustrate the prerequisites. A model combining Betz’s conception (stating uncertainties associated with scientific claims) and Hansson’s corpus model (ensuring the truth of the scientific corpus and distinguishing it from other claims taken as a basis for action) is proposed. Additional prerequisites are finally suggested for future research, stemming from the requirement for philosophy of science to self-reflect on its own values: (5) any model for values in science must be descriptively and normatively relevant; and (6) its consequences must be thoroughly assessed. (shrink)

Kevin Elliott and others separate two common arguments for the legitimacy of societal values in scientific reasoning as the gap and the error arguments. This article poses two questions: How are these two arguments related, and what can we learn from their interrelation? I contend that we can better understand the error argument as nested within the gap because the error is a limited case of the gap with narrower features. Furthermore, this nestedness provides philosophers with conceptual tools for (...) analyzing more robustly how values pervade science. (shrink)

Those who wish to defend the role of aesthetic values in science face a dilemma: Either aesthetic language is used metaphorically for what are ultimately epistemic features, or aesthetic language is used literally but it is difficult to see the importance of such values in science. I introduce a new account that gets around this problem by looking to an overlooked source of aesthetic value in science: the relation between form and content. I argue that (...) a fit between the content of a thought experiment, and the way in which that content is formulated, can have important epistemic pay offs through contributing to scientific understanding. (shrink)

After raising some minor philosophical points about Kevin Elliott’s A Tapestry of Values (2017), I argue that we should expand on the themes raised in the book and that philosophers of science need to pay as much attention to the loom of science (i.e., the institutional structures which guide the pursuit of science) as the tapestry of science. The loom of science includes such institutional aspects as patents, funding sources, and evaluation regimes that shape (...) how science gets pursued, and that attending to these aspects will enable us to provide more robust guidance on the values that infuse the tapestry of science. (shrink)

In assessing the appropriateness of a scientific community's research effort, Solomon considers a number of "decision vectors," divided into the empirical and non-empirical. Value judgments get sorted as non-empirical vectors. By way of contrast, I introduce Anderson's discussion of the evidential role of value judgments. Like Anderson, I argue that value judgments are empirical in the relevant sense. I argue further that Solomon's decision matrix needs to be reconceptualized: the distinction should not be between the empirical vs. non-empirical, but between (...) the relevant vs. irrelevant. Whether particular value judgments are relevant or not is an empirical question, to be decided on a case-by-case basis. (shrink)

English summary: This paper uses research on the COVID-19 pandemic as the backdrop for an accessible discussion of the value and status of science, and of the role of valuesin science. In particular, the paper seeks to debunk three common myths or dogmas about scientific research: (i) that there is such a thing as 'scientific proof' of a theory or hypothesis, (ii) that disagreement is necessarily unhealthy or unnatural in science, (iii) and that personal values play (...) no role in scientific research. (shrink)

Philosophers of science often make reference — whether tacitly or explicitly — to the notion of a scientific community. Sometimes, such references are useful to make our object of analysis tractable in the philosophy of science. For others, tracking or understanding particular features of the development of science proves to be tied to notions of a scientific community either as a target of theoretical or social intervention. We argue that the structure of contemporary scientific research poses two (...) unappreciated, or at least underappreciated, challenges to this concept of the “scientific community” in the philosophy of science. In particular, we will present two case studies from robotics research, broadly construed, which show that (1) the boundedness of the scientific community is threatened when private citizens can develop scientific and technological advances at minimal expense (democratization), and (2) the discreteness of scientific research programs is threatened by the complexly interrelated environment of contemporary scientific work (interconnectivity). Taken together, the extent of democratization and interconnectivity present a significant challenge for any practically oriented philosophy of science, one which we hope will be taken on directly by philosophers in the future. (shrink)

In the philosophy of science, it is a common proposal that values are illegitimate in science and should be counteracted whenever they drive inquiry to the confirmation of predetermined conclusions. Drawing on recent cognitive scientific research on human reasoning and confirmation bias, I argue that this view should be rejected. Advocates of it have overlooked that values that drive inquiry to the confirmation of predetermined conclusions can contribute to the reliability of scientific inquiry at the group (...) level even when they negatively affect an individual’s cognition. This casts doubt on the proposal that such values should always be illegitimate in science. It also suggests that advocates of that proposal assume a narrow, individualistic account of science that threatens to undermine their own project of ensuring reliable belief formation in science. (shrink)

One of the most common criticisms one hears of the idea of granting a legitimate role for social values in theory choice in science is that it just doesn’t make sense to regard social preferences as relevant to the truth or to the way things are. “What is at issue,” wrote Susan Haack, is “whether it is possible to derive an ‘is’ from an ‘ought.’ ” One can see that this is not possible, she concludes, “as soon as (...) one expresses it plainly: that propositions about what states of affairs are desirable or deplorable could be evidence that things are, or are not, so” (Haack 1993a, 35, emphasis in original). The purpose of this chapter is not to determine whether this widespread view is correct, but rather to show that even if we grant it (which I do), we may still consistently believe that social values have a legitimate role in theory choice in science. I will defend this conclusion by outlining a view about social values and theory choice that is available to a Constructive Empiricist anti-realist, but not to a realist. (shrink)

There is a growing consensus among philosophers of science that core parts of the scientific process involve non-epistemic values. This undermines the traditional foundation for public trust in science. In this article I consider two proposals for justifying public trust in value-laden science. According to the first, scientists can promote trust by being transparent about their value choices. On the second, trust requires that the values of a scientist align with the values of an (...) individual member of the public. I argue that neither of these proposals work and suggest an alternative that does better. When scientists must appeal to values in the course of their research, they should appeal to democratic values: the values of the public or its representatives. (shrink)

Understanding science requires appreciating the values it presupposes and its social context. Both the values that scientists hold and their social context can affect scientific communication. Philosophers of science have recently begun studying scientific communication, especially as it relates to public policy. Some have proposed “guiding principles for communicating scientific findings” to promote trust and objectivity. This paper contributes to this line of research in a novel way using behavioural experimentation. We report results from three experiments (...) testing judgments about the trustworthiness, competence and objectivity of scientists. More specifically, we tested whether such judgments are affected by three factors: consulting or not consulting nonscientists, conducting research under a restrictive or non-restrictive governmental communication policy, and the source of a lab’s funding (i.e., government funding, private funding, or a combination of the two). We found that each of these factors affects ordinary judgments of trustworthiness, competence and objectivity. These findings support several recommendations that could help improve scientific communication and communication policies. (shrink)

This article explains that and how values and evaluations are unavoidably and conspicuously present within natural scientists and their sciences—and why they are definitely not “value-free”. It shows how such things can be rationally understood and assessed within the framework of formal axiology, the value theory developed by Robert S. Hartman and those who have been deeply influenced by his reflections. It explains Hartman’s highly plausible and applicable definitions of “good” and related value concepts. It identifies three basic kinds (...) of value objects and human evaluations of these, and it shows how these should be ranked or prioritized in comparative worth. Finally, throughout, it applies all of the above to what is really going on within natural scientists and their sciences. It shows how anyone, scientists included, should proceed in order to make sense of what and how they value. (shrink)

Moral, social, political, and other “nonepistemic” values can lead to bias in science, from prioritizing certain topics over others to the rationalization of questionable research practices. Such values might seem particularly common or powerful in the social sciences, given their subject matter. However, I argue first that the well-documented phenomenon of motivated reasoning provides a useful framework for understanding when values guide scientific inquiry (in pernicious or productive ways). Second, this analysis reveals a parity thesis: (...) class='Hi'>values influence the social and natural sciences about equally, particularly because both are so prominently affected by desires for social credit and status, including recognition and career advancement. Ultimately, bias in natural and social science is both natural and social— that is, a part of human nature and considerably motivated by a concern for social status (and its maintenance). Whether the pervasive influence of values is inimical to the sciences is a separate question. (shrink)

Value systems are prospective and prescriptive beliefs; they affect the ethical behavior of a person or are the basis of their intentional activities.

Some of the most significant policy responses to cases of fraudulent and questionable conduct by scientists have been to strengthen professionalism among scientists, whether by codes of conduct, integrity boards, or mandatory research integrity training programs. Yet there has been little systematic discussion about what professionalism in scientific research should mean. In this paper I draw on the sociology of the professions and on data comparing codes of conduct in science to those in the professions, in order to examine (...) what precisely the model of professionalism implies for scientific research. I argue that professionalism, more than any other single organizational logic, is appropriate for scientific research, and that codes of conduct for scientists should strengthen statements concerning scientific autonomy and competence, as well as the scientific service ideal. (shrink)

Neurath’s scientific utopianism is the proposal that the social sciences should engage in the elaboration, development, and comparison of counterfactual scenarios, the ‘utopias’. Such scenarios can be understood as centerpieces of scientific thought experiments, that is, in exercises of imagination that not only promote conceptual revision, but also stimulate creativity to deal with experienced problems, as utopias are efforts to imagine what the future could look like. Moreover, utopian thought experiments can offer scientific knowledge to inform political debates and decisions, (...) contributing to the shaping of society. This essay reconstructs a historical event as an example of Neurath’s utopianist methodology. In the late 1970s and early 1980s, a scientific and political commission appointed by the Western German Parliament devised and compared four scenarios for future energetic-economic policies. Conclusions of the commission informed political decisions that put Western (later reunified) Germany in a route towards becoming a green industrial power. A fundamental part of the commission’s work involved an appeal to imagination, allowing for the characterization under Neurath’s methodology. (shrink)

In this paper I shall defend the idea that there is an abstract and general core meaning of objectivity, and what is seen as a variety of concepts or conceptions of objectivity are in fact criteria of, or means to achieve, objectivity. I shall then discuss the ideal of value-free science and its relation to the objectivity of science; its status can be at best a criterion of, or means for, objectivity. Given this analysis, we can then turn (...) to the problem of inductive risk. Do the value judgements regarding inductive risk really pose a threat to the objectivity of science? I claim that this is not the case because they do not lower the thresholds scientifically postulated for objectivity. I shall conclude the paper with a discussion of under-appreciated influences of values on science, which indeed pose a serious threat to the objectivity of some scientific disciplines. (shrink)

The value-free ideal in science has been criticised as both unattainable and undesirable. We argue that it can be defended as a practical principle guiding scientific research even if the unattainability and undesirability of a value-free end-state are granted. If a goal is unattainable, then one can separate the desirability of accomplishing the goal from the desirability of pursuing it. We articulate a novel value-free ideal, which holds that scientists should act as if science should be value-free, and (...) we argue that even if a purely value-free science is undesirable, this value-free ideal is desirable to pursue. (shrink)

Science is, if not the most, at least one of the most important human activities which has an undeniable impact on our lives. However, it is a matter of debate that science and its various applications have many negative effects besides their numerous positive contributions. As the negative effects of the science and its applications have become more visible, the science-value relation has regained popularity in the philosophy of science. Precautionary principle is one of the (...) central concepts of the late science-value debates. We first scrutinize the science-value relation, especially whether the science is value-free or value-laden activity, from the perspective of history and philosophy of science, and argue that sciences involve both epistemic and non-epistemic values. Then we introduce the precautionary principle and discuss the possible causes and outcomes of having it as a methodological component of scientific research. Finally, we argue that, if the science-value relation can be reestablished on ethical grounds, as the precautionary principle demands, the negative effects of science and its applications on human health and environment might be minimized and science could contribute more to human happiness. -/- Bilim yaşamımızı biçimlendiren en önemli insan etkinliklerinden birisi, belki de en önemlisidir. Ancak bilimlerin ve onun çeşitli uygulamalarının insan yaşamına olumlu katkılarının yanında insan ve çevre sağlığı üzerinde pek çok olumsuz etkilerinin de olduğu tartışılmaktadır. Bilim ve uygulamalarının insan sağlığı ve çevre üzerindeki olumsuz etkilerinin her geçen gün daha çok görünür hâle gelmesi, bilim-değer ilişkisini yeniden önemli bir tartışma başlığı hâline getirmiştir. İhtiyat ilkesi bilim-değer ilişkisi üzerine yapılan tartışmaların odağında yer alan kavramlardan biridir. Biz çalışmamızda önce bilim-değer ilişkisini, bilimin değerden bağımsız bir etkinlik olup olmadığını bilim tarihi ve felsefesi perspektifinden ele alıyor ve bilimlerin hem epistemik hem de epistemik olmayan değerler içerdiğini savunuyoruz. Daha sonra ihtiyat ilkesini ele alıyor ve onun bilimsel araştırmaların yöntembilimsel bir bileşeni hâline getirilmesinin olası nedenleri ve sonuçları üzerinde duruyoruz. Son olarak, bilim-değer ilişkisinin, ihtiyat ilkesi örneğinde olduğu gibi etik temelli kurulması durumunda bilim ve uygulamalarının insan sağlığı ve çevre üzerindeki olumsuz etkilerinin azaltılabileceğini ve bilimin insan mutluluğuna daha çok katkı sağlayabileceğini tartışıyoruz. (shrink)

In lieu of an abstract here is the first paragraph: -/- I mean the subtitle of my essay both as praise for the clarity with which Elizabeth Anderson writes about what is at stake in debates about values in science, and as a promise to outline an even more direct route to the heart of the matter. I begin with a quick review of the steps in Anderson’s argument that seem necessary and, indeed, laudable, followed by a brief (...) discussion of those steps in her argument that we might fruitfully skip. The hope is that we will arrive at roughly the same location but with a firmer foothold. (shrink)

This highly multidisciplinary collection discusses an increasingly important topic among scholars in science and technology studies: objectivity in science. It features eleven essays on scientific objectivity from a variety of perspectives, including philosophy of science, history of science, and feminist philosophy. Topics addressed in the book include the nature and value of scientific objectivity, the history of objectivity, and objectivity in scientific journals and communities. Taken individually, the essays supply new methodological tools for theorizing what is (...) valuable in the pursuit of objective knowledge and for investigating its history. The essays offer many starting points, while suggesting new avenues of research. Taken collectively, the essays exemplify the very virtues of objectivity that they theorize—in reading them together, the reader can sense various anxieties about the dangerously subjective in our age and locate commonalities of concern as well as differences of approach. As a result, the volume offers an expansive vision of a research community seeking a communal understanding of its own methods and its own epistemic anxieties, struggling to enunciate the key problems of knowledge of our time and offer insight into how to overcome them. -/- (Contributors: Alex Csiszar, Scott Edgar, Peter Galison, Ian Hacking, Sandra Harding, Moira Howes, Paolo Savoia, Judy Segal, Joan Steigerwald, and Alison Wylie). (shrink)

[Comment] I am sympathetic to Avner de Shalit’s position that a political philosophy should incorporate public values, but I see their role differently. Philosophers of science standardly distinguish between values being introduced in the context of discovery (inputs into the investigation or arguments) and in the context of justification (acceptance or rejection of substantive claims in light of the arguments or investigation). I argue that de Shalit is wrong to put the public values in the context (...) of discovery; with respect to normative theories (such as political theories), the values should be introduced in the context of justification. [Open access]. (shrink)

The demise of the value-free ideal constitutes a threat to public trust in science. One proposal is that whenever making value judgments, scientists rely only on democratic values. Since the influence of democratic values on scientific claims and recommendations is legitimate, public trust in science is warranted. I challenge this proposal. Appealing to democratic values will not suffice to secure trust because of at least two obstacles: polarization and marginalization.

Where do values live in thought? A straightforward answer is that we (or our brains) make decisions using explicit value representations which are our values. Recent work applying reinforcement learning to decision-making and planning suggests that more specifically, we may represent both the instrumental expected value of actions as well as the intrinsic reward of outcomes. In this paper, I argue that identifying value with either of these representations is incomplete. For agents such as humans and other animals, (...) there is another place where reward can be located in thought: the division of the space of possibilities or ‘state space’. (shrink)

The issue of whether science is, or can be, value-free has been debated for more than a century. The idea of value-free science is of course as old as science itself, and so are the arguments against this idea. Plato defended it..

I critically analyze Kevin Elliott’s A Tapestry of Values in order to tease out his views on the nature and status of values or value judgments in the text. I show there is a tension in Elliott’s view that is closely connected to a major lacuna in the philosophical literature on values in science: the need for a better theory of values.

Mainstream views of medical research tell us it should be a fact-based, value-free endeavor: what a scientist (or her funding source) wants or cares about should not influence her findings. At the same time, we also sometimes criticize medical research for failing to embody certain values, e.g. when we criticize pharmaceutical companies for largely ignoring the diseases that affect the global poor. This chapter seeks to reconcile these perspectives by distinguishing appropriate from inappropriate influences of values on medical (...) research. It divides this broad question into two narrower ones, the Role Question (at what points in the research process is value influence potentially acceptable?) and the Content Question (when value influence is potentially acceptable, what specific values should researchers use?), and then draws on the philosophical literature on values in science to explore answers to each of them. (shrink)

I first quickly outline what I think grasping is, and suggest that it is both among our basic aims of inquiry and not essentially tied to belief, justification, or knowledge. Then, I briefly look at some places in the metaphysics of science in which it looks like our aim of grasping and our aim in knowing—or perhaps more specifically in knowing the explanations for things—might seem to conflict. I will use this conflict to support a broader view: sometimes, we (...) might develop philosophical views or theories—and even endorse them—in order to better grasp them, regardless of whether we genuinely believe them, or are justified in so doing. At other times, we may be aiming at propositional knowledge. These aims can come apart, and perhaps even systematically come apart. A pluralism about the value of those aims doesn’t entail an “anything goes” attitude with respect to how we think about what philosophical views to put forward, defend, or endorse, however—far from it. Instead, it suggests that what counts as a virtue of a philosophical theory depends on our aims in espousing it. If philosophers have distinct aims at the meta-level, it will be hard for them to engage in joint theory evaluation at the first-order level. At least all three of theoretical virtues, evaluative judgments of philosophical views, and what attitudes we ought to have towards the views we ourselves espouse will vary according to our guiding metaphilosophical aims. (shrink)

Metaphysical considerations aside, today’s inheritors of the tradition of natural philosophy are primarily scientists. However, they are oblivious to the human factor involved in science and in seeing how political, religious, and other ideologies contaminate our visions of nature. In general, philosophers observe human (historical, sociological, and psychological) processes within the construction of theories, as well as in the development of scientific activity itself. -/- In our time, feminism—along with accompanying ideas of identity politics under the slogan “diversity, inclusion, (...) equity”—has emerged in science policies. The vast majority of scientists (including myself) are convinced that discrimination is reprehensible. We also believe that all individuals of any sex, race, ethnic group, or ideology should be valued in academia solely based on his or her merits and potential through equality programs. However, as I will show in this article, political indoctrination has inadmissibly undertaken the struggle for equality in academic institutions in Western countries. I argue here that universities and research institutes should be politically free (neutral) to encourage academic freedom. -/- One negative aspect of equality programs is that worldwide, scientists are harassed for expressing opinions related to the “gender” issue. This situation severely restricts scientists’ freedom of expression, even within the limits of the law. Codes of conduct extending beyond legal boundaries are examples of this issue. Scientists who express their views about “gender” are often harassed, bullied, and socially or academically excluded. Thus, we are witnessing a wave of proselytizing in research institutes and science-associated media. Today, there is widespread biased propaganda of “victimhood”. This propaganda proposes positive discrimination and increasing women’s participation in unnatural ways. It also bends the history of science by overvaluing the creations of forgotten women, offering lectures on indoctrination, organizing congresses on gender and science, and persecuting anyone who sees the subject differently. All of this covered by a multitude of associations that financially benefit from these discourses through succulent subsidies of public money. Apparently, feminism is no longer about fighting against discrimination. Instead, it is about imposing an ideology and giving more power to one group of people. Thus, we must ask whether the end justifies the means. (shrink)

When it originated in the late 19th century, psychometrics was a field with both a scientific and a social mission: psychometrics provided new methods for research into individual differences, and at the same time, these psychometric instruments were considered a means to create a new social order. In contrast, contemporary psychometrics - due to its highly technical nature and its limited involvement in substantive psychological research - has created the impression of being a value-free discipline. In this article, we develop (...) a contrasting characterization of contemporary psychometrics as a value-laden discipline. We expose four such values: that individual differences are quantitative (rather than qualitative), that measurement should be objective in a specific sense, that test items should be fair, and that utility of a model is more important than its truth. Our goal is not to criticize psychometrics for employing these values, but rather to bring them into the open and to show that these values are not inevitable and are in need of systematic evaluation. (shrink)

In the recent past, especially in the last quarter of 20th century, there have been drastic changes which have taken place. People all over the world, started feeling the pinch of “rate of change” in emerging contemporary society. It has influenced all the aspects of human life. It also influenced the ancient conception of philosophy that it seeks to understand the mysteries of existence and reality. It was also influenced by present scientific development which raised philosophical speculations towards linguistic analysis, (...) mental content and later on cognitive science studies. It is true that philosophy tries to discover the nature of truth and knowledge and to find what is of basic value and importance in life. It also examines the relationships between humanity and nature and between the individual and society. Philosophy arises out of wonder, curiosity, and the desire to know and understand. Philosophy is thus a form of inquiry--a process of analysis, criticism, interpretation, and speculation. It is contributing in the process of human development since ancient times. The process of human development begins with the conceptions and continues throughout life. It takes as many different courses as every human being develops in a unique way, embedded in the context of his or her environment. In the light of above assumptions, we are going to study the role of philosophy and values in public affairs and how philosophy shaping the human life with its continuous progress. (shrink)

Many philosophers of science have maintained that science should be value-free; still others believe that such ideal is neither achievable nor desirable for science. Hugh Lacey is presently one of the main supporters of the idea of value-free science and his theory is probably the most debated today and attracts the most attention and criticism. Therefore, in this text, I will primarily analyze his theory of value-free science. After briefly defining the notion of value I (...) highlight which strategy Lacey chooses to lay a firm foundation for the concept of science without value, with his starting point being the differentiation between cognitive and non-cognitive values. Then I describe three basic characteristics of Lacey’s value-free science: impartiality, neutrality, and autonomy. However, the overall plan and design of his project, together with some concrete steps he takes, are not without problems in our view. I will try to point out some of these problematic issues and provide brief suggestions for alleviating them. (shrink)

What makes science trustworthy to the public? This chapter examines one proposed answer: the trustworthiness of science is based at least in part on its independence from the idiosyncratic values, interests, and ideas of individual scientists. That is, science is trustworthy to the extent that following the scientific process would result in the same conclusions, regardless of the particular scientists involved. We analyze this "idiosyncrasy-free ideal" for science by looking at philosophical debates about inductive risk, (...) focusing on two recent proposals which offer different methods of avoiding idiosyncrasy: the high epistemic standards proposal and the democratic values proposal. (shrink)

Metaphors abound in both the arts and in science. Due to the traditional division between these enterprises as one concerned with aesthetic values and the other with epistemic values there has unfortunately been very little work on the relation between metaphors in the arts and sciences. In this paper, we aim to remedy this omission by defending a continuity thesis regarding the function of metaphor across both domains, that is, metaphors fulfill any of the same functions in (...) science as they do in the arts. Importantly, this involves the claim that metaphors in arts as well as science have both epistemic and aesthetic functions. (shrink)

It is not so long ago that philosophers and scientists thought of science as an objective and value-free enterprise. But since the heyday of positivism, it has become obvious that values, norms, and standards have an indispensable role to play in science. You may even say that these values are the real issues of the philosophy of science. Whatever they are, these values constrain science at an ontological, a cognitive, a methodological, and a (...) semantic level for the purpose of making science a rational pursuit of knowledge. I think, however, that a good place to look for them is in the rise of quantum mechanics and in the debate between Bohr and Einstein on its interpretation, not because similar cognitive values are not shaping scientific rationality elsewhere, but because they surface in the debate whenever a new revolutionary paradigm is about to take over the scene. (shrink)

Humanities and social science majors are frequently misunderstood, in Singapore as in many other parts of the world. The value of their education is regularly questioned, and many employers are unaware of the value such majors can bring to the table. They prefer to hire graduates with more explicitly “practical” degrees for jobs that humanities and social sciences students could excel in. As a result, humanities and social sciences students are not typically considered for many organisations and roles, despite (...) offering relevant and useful skills. In this article, I describe how I engaged with local employers to open internship opportunities to humanities and social sciences students who would not previously have been considered. (shrink)

The ML community recognizes the importance of anticipating and mitigating the potential negative impacts of benchmark research. In this position paper, we argue that more attention needs to be paid to areas of ethical risk that lie at the technical and scientific core of ML benchmarks. We identify overlooked structural similarities between human IQ and ML benchmarks. Human intelligence and ML benchmarks share similarities in setting standards for describing, evaluating and comparing performance on tasks relevant to intelligence. This enables us (...) to unlock lessons from feminist philosophy of science scholarship that need to be considered by the ML benchmark community. Finally, we outline practical recommendations for benchmark research ethics and ethics review. (shrink)

Even if the “value-free ideal of science” (VFI) were an unattainable goal, one could ask: can it be a useful fiction, one that is beneficial for the research community and society? This question is particularly crucial for scholars and institutions concerned with research integrity (RI), as one cannot offer normative guidance to researchers without making some assumptions about what ideal scientific research looks like. Despite the insofar little interaction between scholars studying RI and those working on values in (...) science, the overlap of topics and interests make collaboration between the two fields promising for understanding research and its ethics. Here, we identify—for the use of RI scholars—the non-epistemic reasons (societal, political, professional) for and against the VFI considered in the literature. All of these are concerned with the beneficial or detrimental consequences that endorsing the VFI would have on society, policy-making, or the scientific community, with some authors appealing to the same principles to argue for opposite positions. Though most of the reviewed articles do not endorse the VFI, it is generally agreed that some constraints have to be put on the use of non-epistemic values. Disagreement on the utility of the VFI lies both on the different epistemic-descriptive positions taken by different authors, and on the scarcity of relevant empirical studies. Engaging critically with the reasons here identified and more in general with the values in science debate will help the RI community decide whether the VFI should be included in future codes of conduct. (shrink)

While the debate on values in science focuses on normative questions on the level of the individual (e.g. should researchers try to make their work as value free as possible?), comparatively little attention has been paid to the institutional and professional norms that researchers are expected to follow. To address this knowledge gap, we conduct a content analysis of leading national codes of conduct for research integrity of European countries, and structure our analysis around the question: do these (...) documents allow for researchers to be influenced by “non-epistemic” (moral, cultural, commercial, political, etc.) values or do they prohibit such influence in compliance with the value-free ideal (VFI) of science? Our results return a complex picture. On the one hand, codes of conduct consider many non-epistemic values to be a legitimate influence on the decision-making of researchers. On the other, most of these documents include what we call _VFI-like positions_: passages claiming that researchers should be free and independent from any external influence. This shows that while many research integrity documents do not fully endorse the VFI, they do not reject it and continue to be implicitly influenced by it. This results in internal tensions and underdetermined guidance on non-epistemic values that may limit some of the uses of research integrity codes, especially for purposes of ethical self-regulation. While codes of conduct cannot be expected to decide how researchers should act in every instance, we do suggest that they acknowledge the challenges of how to integrate non-epistemic values in research in a more explicit fashion. (shrink)

I examine the role of time-sensitivity in science by drawing on a discussion between Kevin Elliott and Daniel McKaughan and Daniel Steel, on the role of non-epistemic values in theory assessment and the epistemic status of speed of inference. I argue that: 1) speed supervenes on ease of use in the cases they discuss, 2) speed is an epistemic value, and 3) Steel’s account of values doesn’t successfully distinguish extrinsically epistemic from non-epistemic values. Finally, I propose (...) an account of time-sensitivity. (shrink)