In the last decade, many problematic cases of scientific conduct have been diagnosed; some of which involve outright fraud others are more subtle. These and similar problems can be interpreted as caused by lack of scientific objectivity. The current philosophical theories of objectivity do not provide scientists with conceptualizations that can be effectively put into practice in remedying these issues. We propose a novel way of thinking about objectivity for individual scientists; a negative and dynamic approach.We provide a philosophical conceptualization (...) of objectivity that is informed by empirical research. In particular, it is our intention to take the first steps in providing an empirically and methodologically informed inventory of factors that impair the scientific practice. The inventory will be compiled into a negative conceptualization, which could in principle be used by individual scientists to assess objectivity of scientific practice. We propose a preliminary outline of a usable and testable instrument for indicating the objectivity of scientific practice. (shrink)

Mercier & Sperber (M&S) claim that the phenomenon of belief bias provides fundamental support for their argumentative theory and its basis in intuitive judgement. We propose that chronometric evidence necessitates a more nuanced account of belief bias that is not readily captured by argumentative theory.

Artificial intelligence plays an increasingly important role in legal disputes, influencing not only the reality outside the court but also the judicial decision-making process itself. While it is clear why judges may generally benefit from technology as a tool for reducing effort costs or increasing accuracy, the presence of technology in the judicial process may also affect the public perception of the courts. In particular, if individuals are averse to adjudication that involves a high degree of automation, particularly given fairness (...) concerns, then judicial technology may yield lower benefits than expected. However, the degree of aversion may well depend on how technology is used, i.e., on the timing and strength of judicial reliance on algorithms. Using an exploratory survey, we investigate whether the stage in which judges turn to algorithms for assistance matters for individual beliefs about the fairness of case outcomes. Specifically, we elicit beliefs about the use of algorithms in four different stages of adjudication: (i) information acquisition, (ii) information analysis, (iii) decision selection, and (iv) decision implementation. Our analysis indicates that individuals generally perceive the use of algorithms as fairer in the information acquisition stage than in other stages. However, individuals with a legal profession also perceive automation in the decision implementation stage as less fair compared to other individuals. Our findings, hence, suggest that individuals do care about how and when algorithms are used in the courts. (shrink)

Mercier & Sperber (M&S) argue for their argumentative theory in terms of communicative abilities. Insights can be gained by extending the discussion beyond human reasoning to rodent and robot navigation. The selection of arguments and conclusions that are mutually reinforcing can be cast as a form of abductive reasoning that I argue underlies the construction of cognitive maps in navigation tasks.

Much evidence has accumulated in favor of such a dual view of reasoning. There is however some vagueness in the way the two systems are characterized. Instead of a principled distinction, we are presented with a bundle of contrasting features - slow/fast, automatic/controlled, explicit/implicit, associationist/rule based, modular/central - that, depending on the specific dual process theory, are attributed more or less exclusively to one of the two systems. As Evans states in a recent review, “it would then be helpful to (...) have some clear basis for this distinction”; he also suggests that “we might be better off talking about type 1 and type 2 processes” rather than systems. We share the intuitions that drove the development of dual system theories. Our goal here is to propose in the same spirit a principled distinction between two types of inferences: ‘intuitive inference’ and ‘reflective inference’. We ground this distinction in a massively modular view of the human mind where metarepresentational modules play an important role in explaining the peculiarities of human psychological evolution. We defend the hypothesis that the main function of reflective inference is to produce and evaluate arguments occurring in interpersonal communication. This function, we claim, helps explain important aspects of reasoning. We review some of the existing evidence and argue that it gives support to this approach. (shrink)

In this article we discuss what we call the deliberative division of epistemic labor. We present evidence that the human tendency to engage in motivated reasoning in defense of our beliefs can facilitate the occurrence of divisions of epistemic labor in deliberations among people who disagree. We further present evidence that these divisions of epistemic labor tend to promote beliefs that are better supported by the evidence. We show that promotion of these epistemic benefits stands in tension with what extant (...) theories in epistemology take rationality to require in cases of disagreement. We argue that the epistemic benefits that result from the deliberative division of epistemic labor can provide epistemic reason to maintain confidence in cases of disagreement. We then show that the deliberative division of epistemic labor constitutes a distinct kind of epistemic dependence. (shrink)

The ways in which people conceptualize the human–nature relationship have significant implications for proenvironmental values and attitudes, sustainable behavior, and environmental policy measures. Human exceptionalism (HE) is one such conceptual framework, involving the belief that humans and human societies exist independently of the ecosystems in which they are embedded, promoting a sharp ontological boundary between humans and the rest of the natural world. In this paper, we introduce HE in more depth, exploring the impact of HE on perceptions of the (...) human–nature relationship, the role of culture in HE, and speculating on the origins of HE. We consider potential implications for environmental decision-making, conservation and environmental science, and promoting proenvironmental behavior. We present empirical evidence on the pervasiveness and consequences of HE in WEIRD (Western, Educated, Industrialized, Rich and Democratic) populations, and potential interventions. Finally, we close with implications of human-exceptionalist thinking on other sustainability-related fields, including conservation practices, nature management, climate change adaptation, and environmental science. Understanding the cognitive and social drivers of this disconnect is vital on a planet now dominated by environmental change, as not only are humans increasingly impacted by natural disasters, but the choices they make can have ever more dire consequences for the sustainability of ecosystems. (shrink)

Andreas Christiansen,Bjørn Hallsson | : In many cases, the public want to restrict an activity or technology that they believe to be dangerous, but that scientific experts believe to be safe. There is thus a tension between respecting the preferences of the people and making policy based on our best scientific knowledge. Deciding how to make policy in the light of this tension requires an understanding of why citizens sometimes disagree with the experts on what is risky and what is (...) safe. In this paper, we examine two highly influential theories of how people form beliefs about risks: the theory that risk beliefs are errors caused by bounded rationality and the theory that such beliefs are part and parcel of people’s core value systems. We then discuss the implications of the psychological theories for questions regarding liberal-democratic decision making: Should policy be responsive to the preferences of citizens in the domain of risk regulation? What risk-regulation policies are legitimate? How should liberal-democratic deliberation be structured? | : Dans de nombreux cas, le public veut restreindre une activité ou une technologie qu’il croit être dangereuse, mais que les experts scientifiques considèrent être sécuritaire. Il y a alors une tension entre le respect des préférences des gens et des politiques fondées sur nos meilleures connaissances scientifiques. Décider comment élaborer une politique à la lumière de cette tension nécessite de comprendre pourquoi les citoyens sont parfois en désaccord avec les experts à propos de ce qui est risqué et ce qui est sûr. Dans cet article, nous examinons deux théories très influentes sur la façon dont les gens forment des croyances sur les risques : la théorie selon laquelle les croyances liées au risque sont des erreurs causées par la rationalité limitée et la théorie selon laquelle ces croyances font partie intégrante des systèmes de valeurs fonda-mentales des personnes. Nous discutons ensuite les implications des théories psychologiques pour les questions touchant la prise de décision libérale-démocratique : Les politiques devraient-elles être sensibles aux préférences des citoyens dans le domaine de la régulation des risques? Quelles politiques de régulation des risques sont légitimes? Comment la délibération libérale-démocratique devrait-elle être structurée? (shrink)

The aim of this paper is to clarify what kind of normativity characterizes a convention. First, we argue that conventions have normative consequences because they always involve a form of trust and reliance. We contend that it is by reference to a moral principle impinging on these aspects (i.e. the principle of Reliability) that interpersonal obligations and rights originate from conventional regularities. Second, we argue that the system of mutual expectations presupposed by conventions is a source of agreements. Agreements stemming (...) from conventions are “tacit” in the sense that they are implicated by what agents do (or forbear from doing) and without that any communication between them is necessary. To justify this conclusion, we assume that: (1) there is a salient interpretation, in some contexts, of everyone’s silence as confirmatory of the others’ expectations (an epistemic assumption), and (2) the participating agents share a value of not being motivated by hostile attitudes (a motivational assumption). By clarifying the relation between conventions and agreements, the peculiar normativity of conventions is analyzed. (shrink)

Law search is fundamental to legal reasoning and its articulation is an important challenge and open problem in the ongoing efforts to investigate legal reasoning as a formal process. This Article formulates a mathematical model that frames the behavioral and cognitive framework of law search as a sequential decision process. The model has two components: first, a model of the legal corpus as a search space and second, a model of the search process that is compatible with that environment. The (...) search space has the structure of a “multi-network”—an interleaved structure of distinct networks—developed in earlier work. In this Article, we develop and formally describe three related models of the search process. We then implement these models on a subset of the corpus of U.S. Supreme Court opinions and assess their performance against two benchmark prediction tasks. The first is to predict the citations in a document from its semantic content. The second is to predict the search results generated by human users. For both benchmarks, all search models outperform a null model with the learning-based model outperforming the other approaches. Our results indicate that through additional work and refinement, there may be the potential for machine law search to achieve human or near-human levels of performance. (shrink)