Recent debates in psychopathy studies have articulated concerns about false-positives in assessment and research sampling. These are pressing concerns for research progress, since scientific quality depends on sample quality, that is, if we wish to study psychopathy we must be certain that the individuals we study are, in fact, psychopaths. Thus, if conventional assessment tools yield substantial false-positives, this would explain why central research is laden with discrepancies and nonreplicable findings. This paper draws on moral psychology in order to develop (...) tentative theory-driven exclusion criteria applicable in research sampling. Implementing standardized procedures to discriminate between research participants has the potential to yield more homogenous and discrete samples, a vital prerequisite for research progress in etiology, epidemiology, and treatment strategies. (shrink)

In the previous issue of Analyse & Kritik (2020, vol. 42, issue 1) Alexander Vostroknutov (3-39) aims at a ‘synthesis’ of economics with ‘psychology, sociology, and evolutionary human biology.’ This paper argues that his approach needs to be complemented at least by work from sociologists and social psychologists. Starting with problems of defining and measuring norms it is then claimed that a theory of norms should address the origin, change and effects of norms and model micromacro processes. This should also (...) be the goal of a theory of institutions (which are defined here as sets of norms-norms in the sense of accepting oughtness statements). We show how the social psychological value expectancy theory can be applied to model the variety of incentives that could play a role in explaining the effects of norms. Regarding the origin Coleman’s theory of norms is applied to show how Vostroknutov’s dissatisfaction-norms hypothesis can be improved. (shrink)

Volume 23, Issue 3, September 2020, Page 214-233.

The term psychopathy refers to a personality disorder associated with callous personality traits and antisocial behaviors. Throughout its research history, psychopathy has frequently been described as a peculiar form of moral blindness, engendering a narrative about a patient stereotype incapable of taking a genuine moral perspective, similar to a blind person who is deprived of proper visual perceptions. However, recent empirical research has shown that clinically diagnosed psychopaths are morally more fit than initially thought, and the blindness-analogy now comes across (...) as largely misleading. In this contribution, the moral-blindness analogy is explored in an attempt to qualify anew its relevance in psychopathy theory and research. It is demonstrated that there are indeed theoretically relevant parallels to be drawn between blindness and psychopathy, parallels that are especially illuminating when accounting for the potential symptomatology, dimensionality, and etiological nature of the disorder. (shrink)

Psychopathy has been theorized as a disorder of emotion, which impairs moral judgments. However, these theories are increasingly being abandoned as empirical studies show that psychopaths seem to make proper moral judgments. In this contribution, these findings are reassessed, and it is argued that prevalent emotion‐theories of psychopathy appear to operate with the unjustified assumption that psychopaths have no emotions, which leads to the hypothesis that psychopaths are completely unable to make moral judgments. An alternative and novel explanation is proposed, (...) theorizing psychopathy as a degree‐specific emotional deficiency, which causes degree‐specific differences in moral judgments. (shrink)

Departing from the claim that AI needs to be trustworthy, we find that ethical advice from an AI-powered algorithm is trusted even when its users know nothing about its training data and when they learn information about it that warrants distrust. We conducted online experiments where the subjects took the role of decision-makers who received advice from an algorithm on how to deal with an ethical dilemma. We manipulated the information about the algorithm and studied its influence. Our findings suggest (...) that AI is overtrusted rather than distrusted. We suggest digital literacy as a potential remedy to ensure the responsible use of AI. (shrink)