The observation that a crisis of confidence regarding Psychiatry exists is a notion shared even among psychiatrists themselves. Psychiatry has a checkered history and its alliance with the pharmaceutical industry, aka Big-Pharma, continues to reinforce a need for healthy skepticism. Why? Mainly, an over-reliance on the questionable expertise and authority afforded psychiatry as the specialists of mental health. I contend that the authority of psychiatry is misplaced and too often harmful. Since the criteria required to justify and satisfy psychiatric expertise (...) is not fully established as can be substantiated by compelling reasons to rethink its authority as a reliable profession in its current form. Psychiatric expertise is not particularly scientific and this is especially dangerous in a sector that prescribes mind-altering drugs. There are a number of identified criteria that would otherwise substantiate psychiatric expertise and whilst partially existent, are nonetheless deficient. These major yet deficient aspects of psychiatric practice concern diagnostic problems – reliability and verification of diagnoses and accurate testable validity of diagnoses - mainly due to an absence of identifiable underlying biomarkers ordinarily related to disease or biological conditions. Psychiatrists often fail to distinguish between reactive-depression (reaction to external event or circumstance) and endogenous-depression (biological) resulting, in part, from incorrectly distinguishing between conditions constitutive of ‘trait’ (endogenous) and of those of ‘state’ (e.g. reactive depression; adverse effects from medication, etc.). (shrink)

Expert consensus is crucial for those who are not relevant experts in the field in which they are studying. However, for those who are a relevant expert in the field of a philosophic subject, there is a debate that asks if a minority view can ever be considered rational. Bryan Frances argues that if one is a relevant expert in a field, and is in the minority, their views must be irrational. In this essay I will be (...) arguing that Frances' argument fails in terms of the 'explanation' way, leading to leery acceptance of the 'no-process' way. I argue that relevant expert consensus does not matter; it is evaluating the argument that one makes. First, I discuss the debate on whether a relevant expert can disregard consensus and what a relevant expert is. Secondly, I deconstruct Frances' view charitably. Third, I analyze the issues with Frances' argument. Lastly, I offer an alternative to evaluating a minority view amongst relevant experts. (shrink)

It is often suggested that disagreement among scientific experts is a reason not to trust those experts, even about matters on which they are in agreement. In direct opposition to this view, I argue here that the very fact that there is disagreement among experts on a given issue provides a positive reason for non-experts to trust that the experts really are justified in their attitudes towards consensus theories. I show how this line of thought can be spelled out in (...) three distinct frameworks for non-deductive reasoning: namely, Bayesian Confirmation Theory, Inference to the Best Explanation, and Inferential Robustness Analysis. (shrink)

This paper focuses on the phenomenon of forming one’s judgement about epistemic matters, such as whether one has some reason not to believe false propositions, on the basis of the opinion of somebody one takes to be an expert about them. The paper pursues three aims. First, it argues that some cases of expert deference about epistemic matters are suspicious. Secondly, it provides an explanation of such a suspiciousness. Thirdly, it draws the metaepistemological implications of the proposed explanation.

According to a recent account of epistemic authority proposed by Linda Zagzebski (2012), it is rational for laypersons to believe on authority when they conscientiously judge that the authority is more likely to form true beliefs and avoid false ones than they are in some domain. Christoph Jäger (2016) has recently raised several objections to her view. By contrast, I argue that both theories fail to adequately capture what epistemic authority is, and I offer an alternative account grounded in the (...) abilities that different kinds of authorities are required to possess. (shrink)

Background: There is no doubt that strawberry diseases are one of the most important reasons that led to the destruction of strawberry plants and their crops. This leads to obvious damage to these plants and they become inedible. Discovering these diseases after a good step for proper and correct treatment. Determining the treatment with high accuracy depends on the method used in the diagnosis. Correctly, expert systems can greatly help in avoiding damage to these plants. The expert system (...) correctly diagnoses strawberry disease to make it easier for farmers to find the right treatment based on the appropriate diagnosis. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment. Methods: In this paper the design of the proposed Expert System which was produced to help Farmers and students interested in agriculture strawberry in diagnosing many of the strawberry diseases such as: Leaf Spots, Grey Mold, Red Stele/Red Core, Wilt, Powdery Mildew, Alternaria Spot, Black Root Rot, Anthracnose (black spot), and Angular Leaf Spot. The proposed expert system presents an overview about strawberry diseases are given, the cause of diseases are outlined and the treatment of disease whenever possible is given out. CLIPS language was used for designing and implementing the proposed expert system. Results: The proposed strawberry diseases diagnosis expert system was evaluated by Farmers and they were satisfied with its performance. Conclusions: The Proposed expert system is very useful for Farmers with strawberry problem and students interested in agriculture strawberry. (shrink)

This paper explores the socio-epistemic practice of shopping for experts. I argue that expert shopping is particularly likely to occur on what Thi Nguyen calls cognitive islands. To support my argument, I focus on macroeconomics. First, I make a prima-facie case for thinking that macroeconomics is a cognitive island. Then, I argue that ordinary people are particularly likely to engage in expert shopping when it comes to macroeconomic matters. In particular, I distinguish between two kinds of expert (...) shopping, which I call cynical and wishful, and introduce the notion of assisted expert shopping, which occurs when people or organizations shop for experts on behalf of other people. I argue that assisted expert shopping can sometime result in what I call a propagandistic use of expertise. Finally, I critically examine some possible reasons for optimism and find them wanting. I conclude by suggesting that that much of what I said about shopping for macroeconomic experts might also apply mutatis mutandis to other policy-relevant domains of expertise. (shrink)

The increasing demand for transparency in AI has recently come under scrutiny. The question is often posted in terms of “epistemic double standards”, and whether the standards for transparency in AI ought to be higher than, or equivalent to, our standards for ordinary human reasoners. I agree that the push for increased transparency in AI deserves closer examination, and that comparing these standards to our standards of transparency for other opaque systems is an appropriate starting point. I suggest that a (...) more fruitful exploration of this question will involve a different comparison class. We routinely treat judgments made by highly trained experts in specialized fields as fair or well-grounded even though—by the nature of expert/layperson division of epistemic labor—an expert will not be able to provide an explanation of the reasoning behind these judgments that makes sense to most other people. Regardless, laypeople are thought to be acting reasonably—and ethically—in deferring to the judgments of experts that concern their areas of specialization. I suggest that we reframe our question regarding the appropriate standards of transparency in AI as one that asks when, why, and to what degree it would be ethical to accept opacity in AI. I argue that our epistemic relation to certain opaque AI technology may be relevantly similar to the layperson’s epistemic relation to the expert in certain respects, such that the successful expert/layperson division of epistemic labor can serve as a blueprint for the ethical use of opaque AI. (shrink)

There is no doubt that tomato diseases are one of the important reasons that destroy the tomato plant and its crops. This leads to clear damage to these plants and they become inedible. Discovering these diseases after a good step for proper and correct treatment. Determining the treatment with high accuracy depends on the method used in the diagnosis. Correctly, expert systems can greatly help to avoid damage to these plants. The expert system diagnoses tomato disease correctly to (...) facilitate farmers to find the correct treatment based on the appropriate diagnosis. Objectives: An expert system has been established based on CLIPS to diagnose tomato plant disease. (shrink)

The role of scientists as experts is crucial to public policymaking. However, the expert role is contested and unsettled in both public and scholarly discourse. In this paper, I provide a systematic account of the role of scientists as experts in policymaking by examining whether there are any normatively relevant differences between this role and the role of scientists as researchers. Two different interpretations can be given of how the two roles relate to each other. The separability view states (...) that there is a normatively relevant difference between the two roles, whereas the inseparability view denies that there is such a difference. Based on a systematic analysis of the central aspects of the role of scientists as experts – that is, its aim, context, mode of output, and standards, I propose a moderate version of the separability view. Whereas the aim of scientific research is typically to produce new knowledge through the use of scientific method for evaluation and dissemination in internal settings, the aim of the expert is to provide policymakers and the public with relevant and applicable knowledge that can premise political reasoning and deliberation. (shrink)

Reasoning by default is a relevant aspect of everyday life that has traditionally attracted the attention of many fields of research, from psychology to the philosophy of logic, from economics to artificial intelligence. Also in the field of law, default reasoning is widely used by lawyers, judges and other legal decision-makers. In this paper, a philosopher of language (Carlo Penco) and a philosopher of law (Damiano Canale) attempt to explore some uses of default reasoning that are scarcely (...) considered by legal theory. In particular, the dialogue dwells on the notion of literal meaning, witness testimony, and the problem of disagreement among experts in legal proceedings. The paper is intended as a sort of brain storming useful to identify new lines of research straddling philosophy of law, cognitive psychology and philosophy of language. (shrink)

Typically, expert judgments are regarded by laypeople as highly trustworthy. However, expert assertions that strike the layperson as obviously false or outrageous, seem to give one a perfect reason to dispute that this judgment manifests expertise. In this paper, I will defend four claims. First, I will deliver an argument in support of the preemption view on expert judgments according to which we should not rationally use our own domain-specific reasons in the face of expert testimony. (...) Second, I will argue that the preemption view does not leave room for rejecting an expert judgment simply because it is outrageous. Third and finally, I will argue that outrageous expert judgments are ambiguous. Whereas some of them should be rationally rejected by laypeople, others are true and rationally acceptable. So, being outrageous is not, in and of itself, a reason to reject the judgment. Finally, I will argue that there are resources available to the preemption view that enable the layperson to reject some but not all outrageous expert judgments. This is sufficient to overcome the challenge from outrageous expert judgments to the preemption view. (shrink)

In most domains of human life, we are willing to accept that there are experts with greater knowledge and competencies that distinguish them from non-experts or laypeople. Despite this fact, the very recognition of expertise curiously becomes more controversial in the case of “moral experts”. Do moral experts exist? And, if they indeed do, are there ethical reasons for us to follow their advice? Likewise, can emerging technological developments broaden our very concept of moral expertise? In this article, we begin (...) by arguing that the objections that have tried to deny the existence (and convenience) of moral expertise are unsatisfactory. After that, we show that people have ethical reasons to ask for a piece of moral advice in daily life situations. Then, we argue that some Artificial Intelligence (AI) systems can play an increasing role in human morality by becoming moral experts. Some AI-based moral assistants can qualify as artificial moral experts and we would have good ethical reasons to use them. (shrink)

In times of populist mistrust towards experts, it is important and the aim of the paper to ascertain the rationality of arguments from expert opinion and to reconstruct their rational foundations as well as to determine their limits. The foundational approach chosen is probabilistic. However, there are at least three correct probabilistic reconstructions of such argumentations: statistical inferences, Bayesian updating, and interpretive arguments. To solve this competition problem, the paper proposes a recourse to the arguments' justification strengths achievable in (...) the respective situation. (shrink)

Contemporary reasoning about health is infused with the work products of experts, and expert reasoning about health itself is an active site for invention and design. Building on Toulmin’s largely undeveloped ideas on field-dependence, we argue that expert fields can develop new inference rules that, together with the backing they require, become accepted ways of drawing and defending conclusions. The new inference rules themselves function as warrants, and we introduce the term “warranting device” to refer to (...) an assembly of the rule plus whatever material, procedural, and institutional resources are required to assure its dependability. We present a case study on the Cochrane Review, a new method for synthesizing evidence across large numbers of scientific studies. After reviewing the evolution and current structure of the device, we discuss the distinctive kinds of critical questions that may be raised around Cochrane Reviews, both within the expert field and beyond. Although Toulmin’s theory of field-dependence is often criticized for its relativism, we find that, as a matter of practical fact, field-specific warrants do not enjoy immunity from external critique. On the contrary, they can be opened to evaluation and critique from any interested perspective. (shrink)

According to moral testimony pessimists, the testimony of moral experts does not provide non-experts with normative reasons for belief. Moral testimony optimists hold that it does. We first aim to show that moral testimony optimism is, to the extent such things may be shown, the more natural view about moral testimony. Speaking roughly, the supposed discontinuity between the norms of moral beliefs and the norms of non-moral beliefs, on careful reflection, lacks the intuitive advantage that it is sometimes supposed to (...) have. Our second aim is to highlight the difference in the nature of the pragmatic reasons for belief that support moral testimony optimism and moral testimony pessimism, setting out more clearly the nature and magnitude of the challenge for the pessimist. (shrink)

People are increasingly exposed to conflicting health information and must navigate this information to make numerous decisions, such as which foods to consume, a process many find difficult. Although some consumers attribute these disagreements to aspects related to uncertainty and complexity of research, many use a narrower set of credibility-based explanations. Experts’ views on disagreements are underinvestigated and lack explicit identification and classification of the differences in causes for disagreement. Consequently, there is a gap in existing literature to understand the (...) range of reasons for these contradictions. Combining the findings from a literature study and expert interviews, a taxonomy of disagreements was developed. It identifies 10 types of disagreement classified under three dimensions: informant-, information- and uncertainty-related causes for disagreement. The taxonomy may assist with adoption of more effective strategies to deal with conflicting information and contributes to research and practice of science communication in the context of disagreement. (shrink)

Cognitive scientists used to deem reasoning either as a higher cognitive process based on the manipulation of abstract rules or as a higher cognitive process that is stochastic rather than involving abstract rules. I maintain that these different perspectives are closely intertwined with a theoretical and methodological endorsement of either cognitivism or connectionism. Cognitivism and connectionism represent two prevailing and opposed paradigms in cognitive science. I aim to extoll the virtues of connectionist models of enthymematic reasoning by following (...) means: via the phenomenon of creative enthymeme, viz. the inference where one cannot even articulate the missing premise, I introduce a connectionist mechanism of pattern recognition as underlying expertise; via Gestalt switch or Gestalt click, I demonstrate how differences in pattern recognition of an expert and a novice can be construed as qualitatively different, and not merely a matter of faster reasoning. (shrink)

With a focus on Asian philosophical traditions, this book examines varieties of philosophical thought and self-transformative practice that do not fit neatly on one side or another of the standard Western division between philosophy and religion. It contains chapters by experts on Buddhist, Confucian, Taoist, Upaniṣadic and Jain philosophies, as well as ancient Greek philosophy and recent contemplative and spiritual movements. The authors problematize the notion of a European philosophical canon distinguished by "reason and rationality" in contrast to “religious Eastern (...) wisdom-traditions,” which are purportedly grounded in “faith.” These essays lay the groundwork needed to rethink dominant historical and conceptual categories from a wider global perspective to arrive at a deeper, more plural understanding of the diverse nature of both philosophy and religion. (shrink)

This thesis discusses how societies should allocate clinical care resources. The first aim of the thesis is to defend the idea that clinical care resource allocation is a matter for deliberative democratic procedures. I argue that deliberative democracy is justified because of its ability to implement equal respect and autonomy. Furthermore, I address several in-principle objections to the project of applying deliberative democracy to clinical care resource allocation. Most notably, I respond to the narrow view of the scope of deliberative (...) democracy and the critiques of explicit rationing. -/- The second aim of the thesis is to determine what is required by deliberative democracy in clinical care resource allocation. I identify the general requirements that resource allocation agencies should meet, namely public reason, public involvement, transparency, accuracy and revisability. I then examine what is required by deliberative democracy with regard to two particularly salient specific topics, namely the substantive values that should govern resource allocation and the involvement of scientific experts in decision-making. -/- I demonstrate that public reason imposes severe constraints on the substantive values that should be employed. Most of these constraints are rooted in the idea that, under a regime of scarcity, public reason requires that resources be allocated so as to minimise the strongest complaint anyone may have. Out of the variety of values that are commonly proposed as relevant, only priority to the worst-off, ability to benefit, specialness of clinical care and cost are consistent with public reason. Turning to expert involvement, I argue that deliberative democracy can overcome several formidable threats, such as the opacity of expert opinions to laypersons and the tendency to hide uncertainty and disagreement from the public. I also discuss how my proposals on substantive values and expert involvement could be implemented, in order to add to the plausibility of my theory. (shrink)

The aim of this article is to investigate the roles of commutative diagrams (CDs) in a specific mathematical domain, and to unveil the reasons underlying their effectiveness as a mathematical notation; this will be done through a case study. It will be shown that CDs do not depict spatial relations, but represent mathematical structures. CDs will be interpreted as a hybrid notation that goes beyond the traditional bipartition of mathematical representations into diagrammatic and linguistic. It will be argued that one (...) of the reasons why CDs form a good notation is that they are highly mathematically tractable: experts can obtain valid results by ‘calculating’ with CDs. These calculations, take the form of ‘diagram chases’. In order to draw inferences, experts move algebraic elements around the diagrams. It will be argued that these diagrams are dynamic. It is thanks to their dynamicity that CDs can externalize the relevant reasoning and allow experts to draw conclusions directly by manipulating them. Lastly, it will be shown that CDs play essential roles in the context of proof as well as in other phases of the mathematical enterprise, such as discovery and conjecture formation. (shrink)

Introduction: The paper investigates the impact of the use of metaphors in reasoning tasks concerning vaccination, especially for defeasible reasoning cases. We assumed that both metaphor and defeasible reasoning can be relevant to let people understand vaccination as an important collective health phenomenon, by anticipating possible defeating conditions. -/- Methods: We hypothesized that extended metaphor could improve both the argumentative and the communicative effects of the message. We designed an empirical study to test our main hypotheses: participants (...) (N = 196, 78% females; Meanage = 27.97 years, SDage = 10.40) were presented with a text about vaccination, described in either literal or metaphorical terms, based on uncertain vs. safe reasoning scenarios. -/- Results: The results of the study confirmed that defeasible reasoning is relevant for the communicative impact of a text and that an extended metaphor enhances the overall communicative effects of the message, in terms of understandability, persuasion, perceived safety, and feeling of control over the health situation, collective trust in expertise and uptake of experts' advice. However, the results show that this effect is significantly nuanced by the type of defeasible reasoning, especially in the case of participants' trust in expertise and commitment to experts' advice. -/- Conclusion: Both communicative and defeasible reasoning competences are needed to enhance trust in immunization, with possible different outcomes at an individual and collective level. (shrink)

We present some ideas on logical process descriptions, using relations from the DIO (Drug Interaction Ontology) as examples and explaining how these relations can be naturally decomposed in terms of more basic structured logical process descriptions using terms from linear logic. In our view, the process descriptions are able to clarify the usual relational descriptions of DIO. In particular, we discuss the use of logical process descriptions in proving linear logical theorems. Among the types of reasoning supported by DIO (...) one can distinguish both (1) basic reasoning about general structures in reality and (2) the domain-specific reasoning of experts. We here propose a clarification of this important distinction between (realist) reasoning on the basis of an ontology and rule-based inferences on the basis of an expert’s view. (shrink)

This paper presents empirical findings from a set of reasoning and mock jury studies presented at the Experimental Psychology Oxford Seminar Series (2010) and the King's Bench Chambers KBW Barristers Seminar Series (2010). The presentation asks the following questions and presents empirical answers using the Lenses of Evidence Framework (Cowley & Colyer, 2010; see also van Koppen & Wagenaar, 1993): -/- Why is mental representation important for psychology? -/- Why is mental representation important for evidence law? -/- Lens 1: (...) The self representation - Key findings -/- Lens 2: The expert representation - Key findings -/- Lens 3: The anchor representation - Key findings -/- Conclusions & Future directions. -/- The series of research essentially explores how people represent evidence in mind and presents key findings now cited in the following literatures: Philosophy of Science, Cognitive Expertise, Behavioural Economics, Cognitive Science, Psychology and Public Policy, & Causation and the Law. (shrink)

It is no surprise that the philosophy of religion, the many disciplines counted within the study of religion and theology, and religion-specific studies, all have their own methods and interests, and often proceed necessarily as conversations among small groups of experts. But the intellectual cogency and credibility of such studies also entails a problematization of the boundaries that divide them. While disciplinary distinctions are necessary and valuable, a freer flow of ideas and questions across boundaries is to the benefit of (...) all concerned. In particular, the philosophy of religion proceeds more fruitfully if, among its several dimensions, it is also intentionally comparative and inter-religious, vulnerable to the questions raised by insiders to traditions, and open to the implications of ideas for religious practice. (shrink)

We offer a model of moral reform and regeneration that involves a wrong-doer making two movements: on the one hand, he identifies with himself as the one who did the act, while he also intentionally moves away from that self (or set of desires and intentions) and moves toward a transformed identity. We see this model at work in the formal practice of contrition and reform in Christian and Buddhist rites. This paper is part of a broader project we are (...) undertaking on the philosophy of forgiveness. (shrink)

A background assumption of this paper is that the repertoire of inference schemes available to humanity is not fixed, but subject to change as new schemes are invented or refined and as old ones are obsolesced or abandoned. This is particularly visible in areas like health and environmental sciences, where enormous societal investment has been made in finding ways to reach more dependable conclusions. Computational modeling of argumentation, at least for the discourse in expert fields, will require the possibility (...) of modeling change in a stock of schemes that may be applied to generate conclusions from data. We examine Randomized Clinical Trial, an inference scheme established within medical science in the mid-20th Century, and show that its successful defense by means of practical reasoning allowed for its black-boxing as an inference scheme that generates (and warrants belief in) conclusions about the effects of medical treatments. Modeling the use of a scheme is well-understood; here we focus on modeling how the scheme comes to be established so that it is available for use. (shrink)

In her BBC Reith Lectures on Trust, Onora O’Neill offers a short, but biting, criticism of transparency. People think that trust and transparency go together but in reality, says O'Neill, they are deeply opposed. Transparency forces people to conceal their actual reasons for action and invent different ones for public consumption. Transparency forces deception. I work out the details of her argument and worsen her conclusion. I focus on public transparency – that is, transparency to the public over expert (...) domains. I offer two versions of the criticism. First, the epistemic intrusion argument: The drive to transparency forces experts to explain their reasoning to non-experts. But expert reasons are, by their nature, often inaccessible to non-experts. So the demand for transparency can pressure experts to act only in those ways for which they can offer public justification. Second, the intimate reasons argument: In many cases of practical deliberation, the relevant reasons are intimate to a community and not easily explicable to those who lack a particular shared background. The demand for transparency, then, pressures community members to abandon the special understanding and sensitivity that arises from their particular experiences. Transparency, it turns out, is a form of surveillance. By forcing reasoning into the explicit and public sphere, transparency roots out corruption — but it also inhibits the full application of expert skill, sensitivity, and subtle shared understandings. The difficulty here arises from the basic fact that human knowledge vastly outstrips any individual’s capacities. We all depend on experts, which makes us vulnerable to their biases and corruption. But if we try to wholly secure our trust — if we leash groups of experts to pursuing only the goals and taking only the actions that can be justified to the non-expert public — then we will undermine their expertise. We need both trust and transparency, but they are in essential tension. This is a deep practical dilemma; it admits of no neat resolution, but only painful compromise. (shrink)

There is no doubt that custard apple diseases are among the important reasons that destroy the Custard Apple plant and its agricultural crops. This leads to obvious damage to these plants and they become inedible. Discovering these diseases is a good step to provide the appropriate and correct treatment. Determining the treatment with high accuracy depends on the method used to correctly diagnose the disease, expert systems can greatly help in avoiding damage to these plants. The expert system (...) correctly diagnoses Custard Apple disease to make it easier for farmers to find the right treatment based on the appropriate diagnosis. Objectives: A specialized syllable language system was established for the diagnosis of Custard Apple plant disease. (shrink)

Disrespect for the truth, the rise of conspiracy thinking, and a pervasive distrust in experts are widespread features of the post-truth condition in current politics and public opinion. Among the many good explanations of these phenomena there is one that is only rarely discussed: that something is wrong with our deeply entrenched intellectual standards of (i) using our own critical thinking without any restriction and (ii) respecting the judgment of every rational agent as epistemically relevant. In this paper, I will (...) argue that these two enlightenment principles—the Principle of Unrestricted Critical Thinking and the Principle of Democratic Reason—not only conflict with what is rationally required from a purely epistemic point of view, but also have bad cognitive consequences in furthering the spread of conspiracy theories and undermining trust in experts. I will then explain in more detail why we should typically defer to experts without using any of our own reasons regarding the subject matter. Moreover, I will show what place this leaves for critical thinking and why it does not have the crazy consequences that the critics expect. (shrink)

Faced with current urgent calls for more trust in experts, especially in high impact and politically sensitive domains, such as climate science and COVID-19, the complex and problematic nature of public trust in experts and the need for a more critical approach to the topic are easy to overlook. Scepticism – at least in its Humean mitigated form that encourages independent, questioning attitudes – can prove valuable to democratic governance, but stands in opposition to the cognitive dependency entailed by epistemic (...) trust. In this paper, we investigate the tension between the value of mitigated scepticism – understood as the exercise of reason-based doubt in a particular domain – and the need for trust in experts. We offer four arguments in favour of mitigated scepticism: the argument from loss of intellectual autonomy; the argument from democratic deficit; the argument from the normative failures of science; and the argument from past and current injustices. These arguments highlight the tension between the requirements for trust and justified scepticism about the role of experts. One solution, which we reject, is the idea that reliance, rather than trust, is sufficient for the purposes of accommodating experts in policy matters. The solution we endorse is to create a ‘climate of trust’, where questioning experts and expertise is welcomed, but the epistemic trust necessary for action upon information which the public cannot obtain first-hand is enabled and encouraged through structural, institutional, and justice-based measures. (shrink)

Publics trust experts for personal and pro-social reasons. Scientists are among the experts publics trust most, and so, epistemic trust is routinely afforded to them. The call for epistemic trust to be more socially situated in order to account for the impact of science on society and public welfare is at the forefront of enhanced epistemic trust. I argue that the value-free ideal for science challenges establishing enhanced epistemic trust by preventing the inclusion of non-epistemic values throughout the evaluation of (...) evidence and communication of these values. By selectively silencing non-epistemic values, the ideal cannot take into account publics’ social and moral responses to inductive risk, which are instrumental for defining and determining public welfare. Furthermore, by emphasising epistemic values almost exclusively in science education and communication, the value-free ideal is presented to publics in such a way that it becomes a social indicator of trust. I show this through examination of the importance of values in decisions to trust, and conclude that values (and restrictions on them) can be used by lay publics to help decide which experts to trust. (shrink)

The study presented here examines how interacting with a more capable interlocutor influences use of argumentation strategies in electronic discourse. To address this question, 54 young adolescents participating in an intervention centered on electronic peer dialogs were randomly assigned to either an experimental or control condition. In both conditions, pairs who held the same position on a social issue engaged in a series of electronic dialogs with pairs who held an opposing position. In the experimental condition, in some dialogs, unbeknownst (...) to them (because dialog took place electronically), the opponent was a more capable (“expert”) adult. Dialogs in the control condition were only with peers. Argumentation strategies of the experimental group who argued with the “expert” showed immediate strategy improvements in their subsequent peer dialogs, improvement absent in the control group (Cohen's d = 1.12). In particular, the experimental group showed greater use of counterargument in general and advanced forms of counterargument (undermining) that challenges the deeper premises or reasoning on which an argument is based. Implications with respect to mechanisms of change in the development of argumentation skills are considered. (shrink)

This paper explores the concept of moral expertise in the contemporary philosophical debate, with a focus on three accounts discussed across moral epistemology, bioethics, and virtue ethics: an epistemic authority account, a skilled agent account, and a hybrid model sharing key features of the two. It is argued that there are no convincing reasons to defend a monistic approach that reduces moral expertise to only one of these models. A pluralist view is outlined in the attempt to reorient the discussion (...) about moral expertise. (shrink)

Commonsense reasoning about the physical world, as exemplified by "Iron sinks in water" or "If a ball is dropped it gains speed," will be indispensable in future programs. We argue that to make such predictions (namely, envisioning), programs should use abstract entities (such as the gravitational field), principles (such as the principle of superposition), and laws (such as the conservation of energy) of physics for representation and reasoning. These arguments are in accord with a recent study in physics (...) instruction where expert problem solving is related to the construction of physical representations that contain fictitious, imagined entities such as forces and momenta (Larkin 1983). We give several examples showing the power of physical representations. (shrink)

It is often argued that future-directed decisions are effective at shaping our future conduct because they give rise, at the time of action, to a decisive reason to act as originally decided. In this paper, I argue that standard accounts of decision-based reasons are unsatisfactory. For they focus either on tie-breaking scenarios or cases of self-directed distal manipulation. I argue that future-directed decisions are better understood as tools for the non-manipulative, intrapersonal division of deliberative labor over time. A future-directed decision (...) to ϕ gives rise to a defeasible exclusionary reason to ϕ. This reason is grounded on the default authority that is normally granted to one’s prior self as an “expert” deliberator. I argue that this kind of exclusionary reason is the only one that can account for the effectiveness of future-directed decisions at shaping our diachronic agency without violating our autonomy over time. (shrink)

Experts in Artificial Intelligence (AI) development predict that advances in the development of intelligent systems and agents will reshape vital areas in our society. Nevertheless, if such an advance is not made prudently and critically-reflexively, it can result in negative outcomes for humanity. For this reason, several researchers in the area have developed a robust, beneficial, and safe concept of AI for the preservation of humanity and the environment. Currently, several of the open problems in the field of AI research (...) arise from the difficulty of avoiding unwanted behaviors of intelligent agents and systems, and at the same time specifying what we really want such systems to do, especially when we look for the possibility of intelligent agents acting in several domains over the long term. 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 human moral values 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 approach proposed by Dreyfus, whose phenomenological philosophy shows that the human experience of being-in-the-world in several aspects is not well represented by the symbolic or connectionist cognitive method, especially in regards to the question of learning values. 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)

In this paper we will examine how experts from certain epistemic networks behave in the circumstances of a crisis. Our main goal is to show rhetorical strategies experts use to strengthen their own epistemic authority. We will do that by analysing experts’ strategies used in two pandemics: the one caused by A h1n1 virus in 2009 and the current pandemic caused by SARS-CoV-2. There are four different, but interrelated, rhetorical strategies, that epistemic experts use to consolidate their epistemic authority. Two (...) are internally oriented and consist of 1) experts providing additional reasons for why the measures they propose in the time of crises are rational and (2) experts emphasising their own responsibilities in the crises. Experts also use two externally oriented rhetorical strategies by which they (3) challenge the expertise of other experts and (4) raise doubts about the motives of other epistemic experts. (shrink)

It is widely accepted that in fallible reasoning potential error necessarily increases with every additional step, whether inferences or premises, because it grows in the same way that the probability of a lengthening conjunction shrinks. As it stands, this is disappointing but, I will argue, not out of keeping with our experience. However, consulting an expert, proof-checking, constructing gap-free proofs, and gathering more evidence for a given conclusion also add more steps, and we think these actions have the (...) potential to improve our reliability or justifiedness. Thus, the received wisdom about the growth of error implies a skepticism about the possibility of improving our reliability and level of justification through effort. Paradoxically, and even more implausibly, taking steps to decrease your potential error necessarily increases it. I will argue that the self-help steps listed here are of a distinctive type, involving composition rather than conjunction. Error grows differently over composition than over conjunction, I argue, and this dissolves the apparent paradox. (shrink)

In "The Epistemic Significance of Perceptual Learning," Elijah Chudnoff (this issue) argues that cases from perceptual learning show that perception not only generates reasons for beliefs but also preserves those reasons over time in perceptual learning cases. In this paper, we dispute the idea that perceptual learning enables the preservation of perceptual reasons. We then argue for an alternative view, viz. the view that perceptual learning is epistemically significant insofar as it modifies our perceptual system in such a way as (...) to make us capable of perceiving subtle low-level properties (e.g. lightness) and high-level properties (e.g. chess configurations). Acquiring the capacity to perceive these properties is what enables us to achieve expertise in a variety of subject matters (e.g. chicken sexing, chess playing, language fluency). Along the way, we argue against two main points in Chudnoff’s paper. The first is that, pace Chudnoff, perceptual learning does not result in the acquisition of new facts. It only results in the acquisition of a new perceptual capacity. The second is that experiences resulting from perceptual learning can always serve as immediate justifiers of beliefs and hence do not need supporting background information in order to serve as reasons. (shrink)

Although expert consensus states that critical thinking (CT) is essential to enquiry, it doesn’t necessarily follow that by practicing enquiry children are developing CT skills. Philosophy with children programmes around the world aim to develop CT dispositions and skills through a community of enquiry, and this study compared the impact of the explicit teaching of CT skills during an enquiry, to The Philosophy Foundation's philosophical enquiry (PhiE) method alone (which had no explicit teaching of CT skills). Philosophy with children (...) is also said to improve metacognitive (MC) skills but there is little research into this claim. Following observable problems with ensuring genuine metacognition was happening in PhiE sessions - on a reasonably strong understanding of what metacognition is – a method has been developed and trialed in this study to bring together, in mutual support, the development of critical thinking and metacognitive skills. Based on the work of Peter Worley and Ellen Fridland (KCL)The Philosophy Foundation ran an experimental study with King's College London in Autumn 2017 and Autumn 2018 to compare the impact of teaching CT skills and MC skills against classes that just have philosophical enquiry. The approach developed and used for the study employs the explicit teaching of some CT and MC skills within the context of a philosophical enquiry (as opposed to stand-alone teaching of these skills) and yields some positive findings both qualitative and quantitative. Both studies took place over one term (12 weeks) and a control and intervention group were used in each study. This report focuses on the second year of the study, with 220 ten and eleven-year-old children involved in eight classes across three state schools in South East London. Although there were limitations to the study the results indicate that the explicit teaching of these skills during a philosophical enquiry can help children use CT and MC skills more successfully than philosophical enquiry alone. (shrink)

We argue that common knowledge, of the kind used in reasoning in law and computing is best analyzed using a dialogue model of argumentation (Walton & Krabbe 1995). In this model, implicit premises resting on common knowledge are analyzed as endoxa or widely accepted opinions and generalizations (Tardini 2005). We argue that, in this sense, common knowledge is not really knowledge of the kind represent by belief and/or knowledge of the epistemic kind studied in current epistemology. This paper takes (...) a different approach, defining it in relation to a common commitment store of two participants in a rule-governed dialogue in which two parties engage in rational argumentation (Jackson & Jacobs 1980; van Eemeren & Grootendorst 2004). A theme of the paper is how arguments containing common knowledge premises can be studied with the help of argumentation schemes for arguments from generally accepted opinion and expert opinion. It is argued that common knowledge is a species of provi- sional acceptance of a premise that is not in dispute at a given point in a dia- logue, but may later be defeated as the discussion proceeds . (shrink)

Inferentialism, especially Brandom’s theory, is the project aimed at understanding meaning as determined by inferences, and language as a social practice governed by rational discursive norms. Discursive practice is thus understood as the basic rational practice, where commitments undertaken by participants are evaluated in terms of their being correct/incorrect. This model of explanation is also intended to rescue, by means of reasons, the commitments we undertake ourselves and assess the commitments we attribute to others, in an objective sense: starting from (...) our subjective normative and doxastic attitudes we should be able to use the normative discursive resources apt to assess our commitments, not only referring to what we take to be correct, but also referring to how things actually are.My hypothesis is that this objectivity is not achieved only on the basis of the rational structure of discursive practice. The main worry concerns the fact that material inferences, those responsible for the content of our concepts (and commitments), are in general non-monotonic. These inferences put experts in an advantageous position,namely as those capable of defeasible reasoning. I propose a view by which this asymmetry among language users is the crucial factor in assessing the objectivity of claims within discursive practice. (shrink)

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)

I argue that, in an important range of cases, judging that one disagrees with an epistemic peer requires attributing, either to one's peer or to oneself, a failure of rationality. There are limits, however, to how much irrationality one can coherently attribute, either to oneself or to another. I argue that these limitations on the coherent attribution of rational error put constraints on permissible responses to peer disagreement. In particular, they provide reason to respond to one-off disagreements with a single (...) peer by maintaining one's beliefs, and they provide reason to moderate one's beliefs when faced with repeated disagreement, or disagreement with multiple peers. Finally, I argue that, though peer disagreement is rare, the occasions on which it does occur tend to be especially important, and the kind of response supported here is correspondingly important. In particular, how leading researchers spend their time and effort depends, in part, on how they respond to peer disagreement. And only a response of the kind supported here strikes the right balance between allowing individual researchers to freely pursue what seems to them to be worthwhile projects, and requiring that they pursue those research projects that the community of experts as a whole believes to be likely to yield significant results. (shrink)

This is a critical theoretical investigation of Hubert Dreyfus’ ‘phenomenology of everyday expertise’ (PEE). Operating mainly through the critical perspective of the ‘emancipatory interest’ the article takes issue with the contention that when engaged in expert action human beings are in non-deliberative, reason-free absorption. The claim of PEE that absorbed actions are not amenable to reconstruction places those actions outside the space of reasons. The question of acting under the wrong reasons – the question upon which the emancipatory interest (...) rests – is thereby rendered groundless. A further difficulty for the emancipatory interest is the elimination by PEE of reflective agency. Framing expert action as perception- and affordance-driven, PEE diminishes practical reasoning. Furthermore, it understands freedom – consistently with its notion of action as affordance – as primarily the capacity of human beings to submit themselves to processes rather than to step back reflectively from them. Several criticisms of the philosophical delimitations created by methodology of PEE – phenomenology – are also developed. (shrink)

According to the deliberative view of democracy, the legitimacy of democratic politics is closely tied to whether the use of political power is accompanied by a process of rational deliberation among the citizenry and their representatives. Critics have questioned whether this level of deliberative capacity is even possible among modern citizenries--due to limitations of time, energy, and differential backgrounds--which therefore calls into question the very possibility of this type of democracy. In my dissertation, I counter this line of criticism, arguing (...) that deliberative democrats and their critics have both idealized the wrong kind of citizen deliberation. Citizen deliberation should not be concerned with the indeterminate project of "translating" abstract democratic principles and values into everyday cases of political problem-solving. Instead, deliberation should take the form of analogy, just as we already find it in everyday politics and affairs. When ordinary citizens use analogies, they do not derive decisions from general principles or values, but they still reason nonetheless. Seen from this analogical perspective, deliberative democracy is already a practical reality to a large degree. When an election is on the horizon, a campaign season arises in which debates, forums, and "barstool" dialogues exponentially increase the amount of citizen deliberation. In these settings, citizens can readily be seen to be mapping analogous past candidates, elections, issues, and problems onto those currently on the ballot so as to reason about them. Consequently, analogical reasoning allows citizens to treat the majority rule mechanisms that proliferate in real politics as "deliberative outlets," which is to say, as catalysts of deliberation akin to the "creative outlets" that catalyze self-expression in the arts. While citizens may recognize majority rule mechanisms as catalysts of deliberation, many democratic theorists will hesitate to embrace this vision of the practical reality of deliberative politics. Isn't analogical reasoning too low in rigor to be placed at the heart of the deliberative ideal? I develop two arguments to explain the foundational role analogy plays in deliberation and to counter such critics. First, I draw on the explosion of research on analogical reasoning over the past two decades to show that it is far more rigorous and systematic than many suppose. Second, I argue that to the extent that citizen deliberation is concerned with rational planning, rather than just reasoning in general, analogical reasoning is logically superior. When we reason about what to do, we make plans that incorporate predictions about what is likely to ensue when a given course of action is selected. However, as soon as predictions enter into deliberation, its underlying logic changes as well. The reason for this change in logic is that as our probabilistic reasoning expands, the probability of its conclusions degenerates. Therefore, when assessing probabilities, we no longer should seek decisions derived from long, elegant chains of reasoning that connect our various options to generalities like values and principles. Instead, what we need is "short and sweet," or terse, humble lines of reasoning, which are more congruent with this form of deliberation. Thus, to the extent that democratic deliberation is involved in rational planning, it calls not for the elegant, deductive kind of reasoning idealized by proponents and critics of deliberative democracy alike. Instead, democratic deliberation calls for the "short and sweet," analogical kind of decision-making we associate with ordinary citizens already. After all, as research has shown, analogies are a much preferred and rigorous way by which even experts engage in probabilistic reasoning. By focusing on analogical reasoning, I therefore conclude that the practical reality of deliberative democracy should be recognized in ways that might ordinarily be dismissed. (shrink)

In some domains experts perform better than novices, and in other domains experts do not generally perform better than novices. According to empirical studies of expert performance, this is because the former but not the latter domains make available to training practitioners a direct form of learning feedback. Several philosophers resource this empirical literature to cast doubt on the quality of philosophical expertise. They claim that philosophy is like the dubious domains in that it does not make available the (...) good, direct kind of learning feedback, and thus there are empirical grounds for doubting the epistemic quality of philosophical expertise. I examine the empirical studies that are purportedly bad news for professional philosophers. On the basis of that examination, I provide three reasons why the empirical study of non-philosophical expertise does not undermine the status of philosophical expertise. First, the non-philosophical task-types from which the critics generalize are unrepresentative of relevant philosophical task-types. Second, empirical critiques of non-philosophical experts are often made relative to the performance of linear models—a comparison that is inapt in a philosophical context. Third, the critics fail to discuss findings from the empirical study of non-philosophical expertise that have more favorable implications for the epistemic status of philosophical expertise. In addition to discussing implications for philosophical expertise, this article makes progress in the philosophical analysis of the science of expertise and expert development. (shrink)

The term ‘human nature’ can refer to different things in the world and fulfil different epistemic roles. Human nature can refer to a classificatory nature (classificatory criteria that determine the boundaries of, and membership in, a biological or social group called ‘human’), a descriptive nature (a bundle of properties describing the respective group’s life form), or an explanatory nature (a set of factors explaining that life form). This chapter will first introduce these three kinds of ‘human nature’, together with seven (...) reasons why we disagree about human nature. In the main, this chapter focuses on the explanatory concept of human nature, which is related to one of the seven reasons for disagreement, namely, the scientific authority inherent in the term ‘nature’. I will examine why, in a number of historical contexts, it was attractive to refer to ‘nature’ as an explanatory category, and why this usage has led to the continual contestation of the term within the sciences. The claim is that even if the contents of talk about ‘nature’ varied historically, the term’s pragmatic function of demarcation stayed the same. The term ‘nature’ conveys scientific authority over a territory; ‘human nature’ is a concept used to divide causes, as well as experts, and thereby conquer others who threaten to invade one’s epistemic territory. Analysing this demarcation, which has social as well as epistemic aspects, will help us to understand why the explanatory role has been important and why it is unlikely that people will ever agree on either the meaning or the importance of ‘human nature’ as an explanatory category. (shrink)