Machine learning (ML) systems play an increasingly relevant role in medicine and healthcare. As their applications move ever closer to patient care and cure in clinical settings, ethical concerns about the responsibility of their use come to the fore. I analyse an aspect of responsible ML use that bears not only an ethical but also a significant epistemic dimension. I focus on ML systems’ role in mediating patient–physician relations. I thereby consider how ML systems may silence patients’ voices and relativise (...) the credibility of their opinions, which undermines their overall credibility status without valid moral and epistemic justification. More specifically, I argue that withholding credibilitydue tohow ML systems operate can be particularly harmful to patients and, apart from adverse outcomes, qualifies as a form of testimonial injustice. I make my case for testimonial injustice in medical ML by considering ML systems currently used in the USA to predict patients’ risk of misusing opioids (automated Prediction Drug Monitoring Programmes, PDMPs for short). I argue that the locus of testimonial injustice in ML-mediated medical encounters is found in the fact that these systems are treated asmarkers of trustworthinesson which patients’ credibility is assessed. I further show how ML-based PDMPs exacerbate and further propagate social inequalities at the expense of vulnerable social groups. (shrink)

Professional musicians are expected to perform at a very high level of proficiency. Many times, this high standard is associated with perfectionism, which has been shown to prompt both adaptive and maladaptive motivational dynamics and outcomes among music students. The question about how perfectionism interplays with motivational dynamics in music students is still unanswered and research within this line is scarce, especially in Latin America. In the light of Self-Determination Theory, this cross-sectional study investigated the relationship between the perceptions of (...) motivational context, basic psychological needs, perfectionism, and flourishing in University music students from Lima, Peru. We performed a path analysis testing a model in which motivational teaching styles predicted both, perfectionism and flourishing via need satisfaction and frustration. The model's fit indices were ideal [χ2 = 7.48, p = 0.300, CFI = 0.998, TLI = 0.992, RMSEA = 0.021, SRMR =0.040]. In this model, perceived autonomy supportive style predicted need satisfaction positively and need frustration negatively; perceived controlling teaching style did not predict need satisfaction nor frustration. In turn, need satisfaction positively predicted adaptive perfectionism and flourishing; whereas, need frustration predicted maladaptive perfectionism. These results shed light on the relevance of perfectionism in the psychology of higher music education students. Lastly, we highlight the importance of autonomy support in fostering adaptive high standards and flourishing in music learning. (shrink)

The present study investigated whether humans are more likely to trust people who are coordinated with them. We examined a well-known type of linguistic coordination, lexical entrainment, typically involving the elaboration of “conceptual pacts,” or partner-specific agreements on how to conceptualize objects. In two experiments, we manipulated lexical entrainment in a referential communication task and measured the effect of this manipulation on epistemic and practical trust. Our results showed that participants were more likely to trust a coordinated partner than an (...) uncoordinated one, but only when the latter broke previously established conceptual pacts. (shrink)

Artificial intelligence-based (AI) technologies such as machine learning (ML) systems are playing an increasingly relevant role in medicine and healthcare, bringing about novel ethical and epistemological issues that need to be timely addressed. Even though ethical questions connected to epistemic concerns have been at the center of the debate, it is going unnoticed how epistemic forms of injustice can be ML-induced, specifically in healthcare. I analyze the shortcomings of an ML system currently deployed in the USA to predict patients’ likelihood (...) of opioid addiction and misuse (PDMP algorithmic platforms). Drawing on this analysis, I aim to show that the wrong inflicted on epistemic agents involved in and affected by these systems’ decision-making processes can be captured through the lenses of Miranda Fricker’s account of hermeneutical injustice. I further argue that ML-induced hermeneutical injustice is particularly harmful due to what I define as an automated hermeneutical appropriation from the side of the ML system. The latter occurs if the ML system establishes meanings and shared hermeneutical resources without allowing for human oversight, impairing understanding and communication practices among stakeholders involved in medical decision-making. Furthermore and very much crucially, an automated hermeneutical appropriation can be recognized if physicians are strongly limited in their possibilities to safeguard patients from ML-induced hermeneutical injustice. Overall, my paper should expand the analysis of ethical issues raised by ML systems that are to be considered epistemic in nature, thus contributing to bridging the gap between these two dimensions in the ongoing debate. (shrink)

In this paper, we discuss epistemic and ethical concerns brought about by machine learning (ML) systems implemented in medicine. We begin by fleshing out the logic underlying a common approach in the specialized literature (which we call the _informativeness account_). We maintain that the informativeness account limits its analysis to the impact of epistemological issues on ethical concerns without assessing the bearings that ethical features have on the epistemological evaluation of ML systems. We argue that according to this methodological approach, (...) epistemological issues are _instrumental_ to and _autonomous_ of ethical considerations. This means that the informativeness account considers epistemological evaluation uninfluenced and unregulated by an ethical counterpart. Using an example that does not square well into the _informativeness account_, we argue for ethical assessments that have a substantial influence on the epistemological assessment of ML and that such influence should not be understood as merely informative but rather regulatory. Drawing on the case analyzed, we claim that within the theoretical framework of the informativeness approach, forms of epistemic injustice—especially _epistemic objectification_—remain unaddressed. Our analysis should motivate further research investigating the regulatory role that ethical elements play in the epistemology of ML. (shrink)

Introduction In their contribution, Ugar and Malele 1 shed light on an often overlooked but crucial aspect of the ethical development of machine learning (ML) systems to support the diagnosis of mental health disorders. The authors restrain their focus on pointing to the danger of misdiagnosing mental health pathologies that do not qualify as such within sub-Saharan African communities and argue for the need to include population-specific values in these technologies’ design. However, an analysis of the nature of the harm (...) caused to said populations once their values remain unrecognised is not offered. Building on Ugar and Malele’s considerations, we add a further perspective to their analysis by showing the need to design considering intended values to avoid the occurrence of epistemic injustices. 2 First, we argue that failing to acknowledge the hermeneutical offerings of the populations interacting with these systems can qualify as _contributory injustice_.shrink)

A life colonization is produced due to systemic demands that as a sign of the present-day life invades it with its logical functioning throwing moral and ethical values out either in private life or in public opinion. It is also important to point out a great increase of many pathologies in private..

The proposal of the work centers on pointing out some of the relationships between the concepts that refer to the processes of socialization and subjectivation in its articulation with the understanding. For this end, a brief reference to them is made from a multidisciplinary and transversal approac..

Overconfidence is typically damaging to one’s reputation as a trustworthy source of information. Previous research shows that the reputational cost associated with conveying a piece of false information is higher for confident than unconfident speakers. When judging speaker trustworthiness, individuals do not exclusively rely on past accuracy but consider the extent to which speakers expressed a degree of confidence that matched the accuracy of their claims (their “confidence-accuracy calibration”). The present study experimentally examines the interplay between confidence, accuracy and a (...) third factor, namely evidence, in the assessment of speaker trustworthiness. Experiment 1 probes the hypothesis that overconfidence does not backfire when a confident but inaccurate claim is justified: the trustworthiness of a confident speaker who turns out to be wrong is restored if the confidence expressed is based on strong evidence (good confidence-evidence calibration). Experiment 2 investigates the hypothesis that confidence can backfire if a confident and accurate claim is not justified: the trustworthiness of a confident speaker who turns out to be right is damaged if the confidence expressed is based on weak evidence (bad confidence-evidence calibration). Our results support both hypotheses and thus suggest that “confidence-evidence calibration” plays a crucial role in the assessment of speaker trustworthiness. (shrink)

The United States is one of the most charitable nations, yet comprises some of the most materialistic citizens in the world. Interestingly, little is known about how the consumer trait of materialism, as well as the opposing moral trait of gratitude, influences charitable giving. We address this gap in the literature by theorizing and empirically testing that the effects of these consumer traits on charitable behavior can be explained by diverse motivations. We discuss the theoretical implications, along with implications for (...) charitable organizations, and offer suggestions for future research. (shrink)

The social aspects of causality in medicine and healthcare have been emphasized in recent debates in the philosophy of science as crucial factors that need to be considered to enable, among others, appropriate interventions in public health. Therefore, it seems central to recognize the bearing of social causes (broadly understood, e.g., social inequalities and socio-economic status) in bringing about certain concrete pathologies. Being aware of the relevance of social causes in medicine and healthcare is particularly important in the face of (...) the role that artificial intelligence-based systems (such as machine learning algorithms) are increasingly playing in these high-stakes fields. In fact, these systems bear the dangerous potential of concealing relevant social causes. This is highly problematic not only because it reinforces issues of distributive injustice but also because it can pave the way for issues of epistemic injustice. The central aim of this chapter is to make a first effort to point out possible connections between the importance of recognizing social causes in medicine and healthcare and forms of epistemic injustice. (shrink)

Given the risks of misinformation, addressees need to calibrate their trust towards communicators effectively. One way to do this is to evaluate the evidence speakers rely on (their evidential warrant) or claim to have (their evidential claims) when providing testimony. We review key findings in experimental psychology and experimental pragmatics to uncover the mechanisms underlying this form of trust calibration. This will ultimately shed light on the psychological foundations of principles that guide the evaluation of testimony in legal contexts, such (...) as the law against hearsay. (shrink)

The authors, both child psychiatrists, discuss some of the ethical problems that arise in their practice, in relation to advice given in the British Medical Association's Handbook of Medical Ethics. They find that the main problems occur when multidisciplinary cooperation is needed. Their concern about confidentiality is shared in the papers by Kenny, Pheby and their commentators, which follow this one.

We propose an extension to Mahr & Csibra's (M&C's) theory. For successful episodic memory formation, potentially relevant aspects of a situation need to be identified and encodedonlineand retained for prospective interactions.To be maximally convincing, the communicator not only has to encode not justanycontextual detail, but also has to track informationin relation tosocial partners.

In Archive Fever, Derrida opens a critical perspective on the status of the trace as that which remains with his reading of Gradiva, the Pompeian fantasy woman who is supposed to have left her singular toe-print in the ash of Vesuvius. This article returns to the figure of Gradiva as emblem for the non-coincidence of origin and trace, in order to outline the archival aspects of Gunter Demnig's Stolperstein-project, a large-scale, decentralized memorial commemorating those deported under National Socialism. Returning to (...) the site of a missed encounter, Demnig attempts to reinscribe the trace of those who vanished there. But as his project grows, it also shows signs of archive fever, betraying a desire to take possession of the trace of the other, and revealing how, as Derrida describes, the archive does not exist without the political control of memory. (shrink)

The advancement of AI-based technologies, such as machine learning (ML) systems, for implementation in healthcare is progressing rapidly. Since these systems are used to support healthcare professionals in crucial medical practices, their role in medical decision-making needs to be epistemologically and ethically assessed. However, a central issue at the intersection of the ethics and epistemology of ML has been largely neglected. This pertains to the careful scrutiny of how ML systems can degrade individuals’ epistemic standing as receivers and conveyors of (...) knowledge and, thereby, perpetrate epistemic injustice. Since ML systems are powerful epistemic entities that are not easily contestable, and their decision-making rationale is often inaccessible, it is crucial to consider their role in creating imbalances in patients’ disfavor and the ways to mitigate such imbalances. This is especially important when it comes to interactions between patients and physicians, in which questions of credibility, trust, and understanding are central. Against this background, the overarching purpose of this dissertation is to fill this research gap by providing a framework to identify and, on occasion, mitigate epistemic injustices that are _ML-induced_, i.e., that emerge specifically due to the role that ML systems play in patient-physician interactions. (shrink)

Discourses and the ideas, perceptions and templates upon which they are based exert a powerful influence on law-making, push policy-making in a precise direction and determine operational action and outcomes. British counterterrorist law and policy post 9/11 is heavily mediated through a conceptual filter that evokes a siege mode of democracy, which deliberately displaces the traditional rights-based model, and a security narrative based on a double asymmetry. By blending a discursive theoretical approach with an institutionalist perspective, the discussion examines the (...) siege mode of democracy and its implications and the double asymmetry underpinning the Government's framing of the threat and of the means to counter it. Both features of the Government's security discourse are critical in explaining not only British counter-terrorist legislation and policy evolution in the 21st century and the controversial operation ‘Kratos’ adopted by ACPO in 2002, but also their official depiction as necessary, and singular, responses to some structured necessity and the associated logic of ‘no alternative’. (shrink)

Legal and Political Concepts as Contextures Socio-political concepts are not singularities. They are, instead, complex and evolving contextures. An awareness of the latter and of what we need to do when we handle concepts opens up space for the resolution of political disagreements and multiplies opportunities for constructive dialogue and understanding. In this article, I argue that the concepts-as-contextures perspective can unravel conceptual connectivity and interweaving, and I substantiate this by examining the ‘contexture’ of liberty. I show that the different, (...) and seemingly contested, definitions of liberty are the product of mixed articulations and the development of associative discursive links within a contexture. (shrink)

Liberalism and Societal Integration: In Defence of Reciprocity and Constructive Pluralism Communities can only be dynamic and projective, that is, oriented towards new and better forms of cooperation, if they bring together diverse people in a common, and hopefully more equal, socio-political life and in welfare. The latter requires not only back-stretched connections, that is, the involvement of co-nationals and naturalized persons, but also forward-starched connections, that is, the involvement of citizens in waiting. Societal integration is an unhelpful notion and (...) liberal democratic polities would benefit from reflecting critically on civic integration policies and extending the norm of reciprocity beyond its assigned liberal national limits. Reciprocity can only be a comprehensive norm in democratic societies - and not an eclectic one, that is, either co-national or co-ethnic. (shrink)

This article aims to give an overview of Jewish archives and archival sources in Denmark, Finland, Norway, and Sweden. Besides describing significant existing collections, the article looks into ongoing archival projects, digitizing and infrastructure programs, and maps out future challenges.

En el texto se llevan a cabo una serie de reflexiones en relación a la formación ética en las universidades para desde ahí edificar mejores ciudadanos. La relevancia de los estudios teóricos en la temática ética es crucial para apuntalar la comprensión de la ética y la ciudadanía en la vida práctica: sólo así podremos cambiar algo de este mundo. Además, la complejidad de nuestra realidad requiere de un pensar crítico para poder desbrozar tales complejidades, ayudándonos a comprender mejor nuestra (...) realidad y circunstancia. Sólo así podremos convertirnos en seres responsables de lo que nos toca hacer en nuestro mundo. La exigencia de un pensar ético crítico no puede dejarse de lado dado que será el único herramental que nos posibilite proyectarnos al futuro en la construcción de una mejor humanidad. (shrink)