In biomedical research lack of trust is seen as a great threat that can severely jeopardise the whole biomedical research enterprise. Practices, such as informed consent, and also the administrative and regulatory oversight of research in the form of research ethics committees and Institutional Review Boards, are established to ensure the protection of future research subjects and, at the same time, restore public trust in biomedical research. Empirical research also testifies to the role of trust as one of the decisive (...) factors in research participation and lack of trust as a barrier for consenting to research. However, what is often missing is a clear definition of trust. This paper seeks to address this gap. It starts with a conceptual analysis of the term trust. It compares trust with two other related terms, those of reliance and trustworthiness, and offers a defence of Baier’s attribute of ‘good will’ a basic characteristic of trust. It, then, proceeds to consider trust in the context of biomedical research by examining two questions: First, is trust necessary in biomedical research?; and second, do increases in regulatory oversight of biomedical research also increase trust in the field? This paper argues that regulatory oversight is important for increasing reliance in biomedical research, but it does not improve trust, which remains important for biomedical research. It finishes by pointing at professional integrity as a way of promoting trust and trustworthiness in this field. (shrink)

By the time they reach early adulthood, English speakers are familiar with the meaning of thousands of words. In the last decades, computational simulations known as distributional semantic models have demonstrated that it is possible to induce word meaning representations solely from word co-occurrence statistics extracted from a large amount of text. However, while these models learn in batch mode from large corpora, human word learning proceeds incrementally after minimal exposure to new words. In this study, we run a set (...) of experiments investigating whether minimal distributional evidence from very short passages suffices to trigger successful word learning in subjects, testing their linguistic and visual intuitions about the concepts associated with new words. After confirming that subjects are indeed very efficient distributional learners even from small amounts of evidence, we test a DSM on the same multimodal task, finding that it behaves in a remarkable human-like way. We conclude that DSMs provide a convincing computational account of word learning even at the early stages in which a word is first encountered, and the way they build meaning representations can offer new insights into human language acquisition. (shrink)

Galleries, libraries, archives and museums are striving to retain audience attention to issues related to cultural heritage, by implementing various novel opportunities for audience engagement through technological means online. Although born-digital assets for cultural heritage may have inundated the Internet in some areas, most of the time they are stored in “digital warehouses,” and the questions of the digital ecosystem’s sustainability, meaningful public participation and creative reuse of data still remain. Emerging technologies, such as artificial intelligence, are used to bring (...) born-digital archives to light, aiming to enhance the public’s engagement and participation. At the core of this debate lies both the openness of data and issues of privacy. How open to the public should born-digital archives be? Should everything be open and available online, and what does it take to achieve balance between openness and privacy, especially through AI initiatives? The study is qualitative and builds on the rationale of grounded theory. The role of AI development is critically investigated in relation to opening up born-digital archives online, by considering privacy and ethics issues. Grounded in the context of the author’s PhD research, the paper proposes a human-centred approach to AI development for democratising its development towards fairness and social inclusion, contrary to the stereotypical cliché of blackboxing, allowing space for the plurality of born-digital archives to flourish. (shrink)

BackgroundDespite the recognition that developing artificial intelligence (AI) that is trustworthy is necessary for public acceptability and the successful implementation of AI in healthcare contexts, perspectives from key stakeholders are often absent from discourse on the ethical design, development, and deployment of AI. This study explores the perspectives of birth parents and mothers on the introduction of AI-based cardiotocography (CTG) in the context of intrapartum care, focusing on issues pertaining to trust and trustworthiness.MethodsSeventeen semi-structured interviews were conducted with birth parents (...) and mothers based on a speculative case study. Interviewees were based in England and were pregnant and/or had given birth in the last two years. Thematic analysis was used to analyze transcribed interviews with the use of NVivo. Major recurring themes acted as the basis for identifying the values most important to this population group for evaluating the trustworthiness of AI.ResultsThree themes pertaining to the perceived trustworthiness of AI emerged from interviews: (1) trustworthy AI-developing institutions, (2) trustworthy data from which AI is built, and (3) trustworthy decisions made with the assistance of AI. We found that birth parents and mothers trusted public institutions over private companies to develop AI, that they evaluated the trustworthiness of data by how representative it is of all population groups, and that they perceived trustworthy decisions as being mediated by humans even when supported by AI.ConclusionsThe ethical values that underscore birth parents and mothers’ perceptions of trustworthy AI include fairness and reliability, as well as practices like patient-centered care, the promotion of publicly funded healthcare, holistic care, and personalized medicine. Ultimately, these are also the ethical values that people want to protect in the healthcare system. Therefore, trustworthy AI is best understood not as a list of design features but in relation to how it undermines or promotes the ethical values that matter most to its end users. An ethical commitment to these values when creating AI in healthcare contexts opens up new challenges and possibilities for the design and deployment of AI. (shrink)

Returning research results to participants is recognised as an obligation that researchers should always try to fulfil. But can we ascribe the same obligation to researchers who conduct genomics research producing only aggregated findings? And what about genomics research conducted in developing countries? This paper considers Beskow's et al. argument that aggregated findings should also be returned to research participants. This recommendation is examined in the context of genomics research conducted in developing countries. The risks and benefits of attempting such (...) an exercise are identified, and suggestions on ways to avoid some of the challenges are proposed. I argue that disseminating the findings of genomic research to participating communities should be seen as sharing knowledge rather than returning results. Calling the dissemination of aggregate, population level information returning results can be confusing and misleading as participants might expect to receive individual level information. Talking about sharing knowledge is a more appropriate way of expressing and communicating the outcome of population genomic research. Considering the knowledge produced by genomics research a worthwhile output that should be shared with the participants and approaching the exercise as a ‘sharing of knowledge’, could help mitigate the risks of unrealistic expectations and misunderstanding of findings, whilst promoting trusting and long lasting relationships with the participating communities. (shrink)

Collaborations in global health research are on the rise because they enhance productivity, facilitate capacity building, accelerate output and make tackling big, multifactorial research questions possible. In this paper, I examine the concepts of trust and reliance in scientific collaborations in general, but also in the particular context of collaborations in global health research between high‐income countries and low‐and‐middle income countries (LMIC). I propose and defend the argument that given the particular characteristics of collaborations and demands of trust relationships, reliance (...) is a better relational mode for successful collaborations. Although reliance can be difficult to establish in situations where asymmetry of power exists, trust should not be the only relational mode available to LMIC researchers because of the type of vulnerability it introduces to the relationship. I conclude that the promotion of good collaborations requires addressing the power imbalances between partners, and establishing an even playing field in global health research. (shrink)

The academic and medical literature highlights the positive effects of empathy for patient care. Yet, very little attention has been given to the impact of the requirement for empathy on the physicians themsel..

The role of ethics committees is to protect and safeguard the rights and welfare of participants, and promote good research by providing ethical guidance to researchers. In order for ethics committees to fulfil their role and obligations, they need to have adequate understanding of the science and scientific methods used in research. Genomics is a novel and rapidly evolving research field, and identifying the ethical issues raised by it is not straightforward. Limited understanding of, and expertise in, reviewing genomic research (...) may lead ethics committees to either hamper novel research, or overlook important ethical problems. Researchers are in the best position to assist ethics committees in their efforts to remain informed about scientific advancements. (shrink)

The aim of this article is to investigate the impact neoliberalism has in shaping the discourse of the European Union’s policy of Lifelong Learning. The literature review initially presents the theoretical framework of neoliberalism as the dominant ideological and economic paradigm of our time. Thereafter, it takes a view on how neoliberalism perceives the four objectives of the European Union’s Lifelong Learning policy, namely employability/adaptability, personal fulfillment, social inclusion, and active citizenship. Through the analysis of European Commission’s policy documents on (...) Lifelong Learning, this article explores whether these objectives, with focus on social inclusion and active citizenship, can be realized within the ideological, political, and economic framework set by the neoliberal paradigm. The data underwent Qualitative Analysis using the methods of Critical Discourse Analysis and Qualitative Content Analysis as well as Quantitative Analysis of textual data. The results indicate that only employability and adaptability seem to be compatible with the neoliberal rhetoric since the flexible and adaptable employee better serves the needs of the markets. The role neoliberalism holds for the individual is that of the consumer, product user, and voter. Therefore, the non-economic objectives of Lifelong Learning cannot be equally developed as they constitute the complete antithesis of neoliberalism’s basic principles. (shrink)

Biomedical research is an increasingly multidisciplinary activity bringing together a range of different academic fields and forms of expertise to investigate diseases that are increasingly understood to be complex and multifactorial. Recently the discipline of ethics has been starting to find a place in large-scale biomedical collaborations. In this article we draw from our experience of working with the Malaria Genomic Epidemiology Network and other research projects to reflect upon the integration of ethics into biomedical research. We examine the way (...) in which ethics input may be valuable to research, the forms it tends to take, and also the problems and limitations of such collaborations. (shrink)

Medicine is not merely a job that requires technical expertise, but a profession concerned with making the best decisions and recommendations with reference to, and in consultation with, the patient. This means that the skill set required for healthcare professionals in order to provide good care is a combination of scientific knowledge, technical aptitude, and affective qualities or virtues such as compassion and empathy.

BackgroundAs the use of AI becomes more pervasive, and computerised systems are used in clinical decision-making, the role of trust in, and the trustworthiness of, AI tools will need to be addressed. Using the case of computational phenotyping to support the diagnosis of rare disease in dysmorphology, this paper explores under what conditions we could place trust in medical AI tools, which employ machine learning.MethodsSemi-structured qualitative interviews with stakeholders who design and/or work with computational phenotyping systems. The method of constant (...) comparison was used to analyse the interview data.ResultsInterviewees emphasized the importance of establishing trust in the use of CP technology in identifying rare diseases. Trust was formulated in two interrelated ways in these data. First, interviewees talked about the importance of using CP tools within the context of a trust relationship; arguing that patients will need to trust clinicians who use AI tools and that clinicians will need to trust AI developers, if they are to adopt this technology. Second, they described a need to establish trust in the technology itself, or in the knowledge it provides—epistemic trust. Interviewees suggested CP tools used for the diagnosis of rare diseases might be perceived as more trustworthy if the user is able to vouchsafe for the technology’s reliability and accuracy and the person using/developing them is trusted.ConclusionThis study suggests we need to take deliberate and meticulous steps to design reliable or confidence-worthy AI systems for use in healthcare. In addition, we need to devise reliable or confidence-worthy processes that would give rise to reliable systems; these could take the form of RCTs and/or systems of accountability transparency and responsibility that would signify the epistemic trustworthiness of these tools. words 294. (shrink)

L'hypothèse de capitalisme cognitif et le réexamen de la notion de travail productif ouvrent sur une réforme radicale du mode de répartition des richesses. Le revenu social garanti (RSG) en est la clé de voûte et fait, sans doute pour cette raison, l'objet de vives critiques, en particulier quant à sa faisabilité financière. Or l'articulation entre cette dernière et les fondements économiques du RSG doit être étroite en raison même de la notion de travail productif sous-jacente que nous avons adoptée. (...) C'est la raison pour laquelle la mise en place du RSG devrait s'accompagner d'une profonde réforme du système de transferts positifs et négatifs. (shrink)

Efficiency is an important value for all publicly funded healthcare systems. Limited resources need to be used prudently and wisely in order to ensure best possible outcomes and waste avoidance. Since 2010, the drive for efficiency, in the UK, has acquired a new impetus, as the country embarked on an ‘age of austerity’ purportedly to balance its books and reduce national deficit. Although the NHS did not suffer any direct budget cuts, the austerity policies imposed on the welfare system, including (...) social and mental healthcare, have had a direct and detrimental impact on the healthcare service. This paper draws from a qualitative study conducted in three A&E Departments in England to explore the effects of austerity policies on the everyday experiences of doctors and nurses working in Emergency Departments. It discusses the operationalisation of efficiency in A&E, in a climate of austerity, and its effects on the experiences and practices of healthcare professionals. It uses the empirical data as a springboard to highlight the role of structures and regulations, in this case targets and protocols, in how core healthcare ethical values, such as empathy, are exercised in practice. It provides an analysis of the normative role structures and regulations can play on the perception and practice of professional duties and obligations in healthcare. (shrink)

Summary The study examined the relation between possible selves, academic performance, motivation, self?esteem and persistence on task. The assumption was that envisioning a desired end?state produces information processing favouring the desired state and, as a consequence, the action seems more likely and people are able to construct more efficient plans. We hypothesized that academic performance is best for subjects who are able to produce well?elaborated, vivid pictures of future selves. The sample consisted of 289 students, 14 and 15 years old, (...) of both sexes. The statistical analysis revealed that those who endorsed specific, elaborated positive selves outperformed the other groups in academic achievement. There was also indication that this group of students showed more persistence on task. The results are discussed in terms of their importance for the motivational role of possible selves in achievement situations. (shrink)

(1996). Public opinion and democratic culture: The French revolution. The European Legacy: Vol. 1, Fourth International Conference of the International Society for the study of European Ideas, pp. 175-180.

Republicanism, Liberalism and the French Revolution. This article studies, on the basis of the evidence provided by the discursive action of journalists and patriot pamphleteers, the transformations brought about in the context of the process leading to the fall of the king.

_Time and Timelessness_ examines the development of Jung's understanding of time throughout his opus, and the ways in which this concept has affected key elements of his work. In this book Yiassemides suggests that temporality plays an important role in many of Jung's central ideas, and is closely interlinked with his overall approach to the psyche and the cosmos at large. Jung proposed a profound truth: that time is relative at large. To appreciate the whole of our experience we must (...) reach beyond causality and temporal linearity, to develop an approach that allows for multidimensional and synchronistic experiences. Jung’s understanding surpassed Freud's dichotomous approach which restricted timelessness to the unconscious; his time theory allows us to reach beyond the everyday time-bound world into a greater realm, rich with meaning and connection. Included in the book: -Jung’s time theory -the death of time -time and spatial metaphors -the role of time in precognition, telepathy and synchronicity -_Unus mundus_ and time -a comparison of Freud’s and Jung’s time theories: temporal directionality, dimensionality, and the role of timelessness. This book is the first to explore time and timelessness in a systematic manner from a Jungian perspective, and the first to investigate how the concept of time affected the overall development of Jung's theory. It will be key reading for psychoanalytic scholars and clinicians, as well as those working in the field of phenomenological philosophy. (shrink)

En distinguant Amartya Sen, le jury Nobel a voulu rendre hommage à l'œuvre d'un éminent économiste-philosophe. A travers lui, il consacre aussi les travaux de chercheurs qui s'attachent à intégrer dans la problématique de l'analyse économique, les questions relatives à l'équité et à la justice sociale. Selon une vision étroite du découpage des champs disciplinaires, les économistes doivent se consacrer à l'étude des performances de la dynamique des systèmes productifs, alors que les questions relatives à l'équité sont réservées à la (...) philosophie politique. Il reste que les développements récents de celle-ci interpellent les économistes, tandis que les effets destructeurs de la crise économique sur le tissu social condamnent un discours fondé sur le caractère inéluctable des mutations. (shrink)

RésuméL'analyse du développement des activités électriques du cerveau chez l'enfant au moyen d'examens électro‐encéphalographiques répétés en série longitudinale nous donne l'occasion d'exprimer quelques considérations générales sur les notions d'organisation, de continuité et discontinuité du développement des fonctions cérébrales. Du point de vue méthodologique, une premihre difficulté provient de ce que la technique utilisée est à la fois objective et subjective: objective en tant qu'elle comporte un enregistrement physique très exact des activités physiologiques du cerveau, exprimées par des variations de potentiel (...) électrique , subjective du fait que les tracCs obtenus doivent être analysCs et interprétés empiriquement par un spécialist.e expérimenté. Même si I'on recourt à certains procédés physiques d'analyse des tracés , on ne peut définir objectivement que certains parametres élémentaires, tels que la fréquence, le voltage et les relations de phase. Ces méthodes d'analyse objectives restent incapables toutefois d'exprimer le 〈pattern〉, c'est‐à‐dire la configuration temporo‐spatiale de l'activité Clectrique dans ce qu'elle à d’〈essentiel〉 et de 〈général〉; elles ne peuvent se substituer entibrement à l'analyse qualitative et subjective. Une autre difficulté technique réside dans le fait que si les examens ne sont pas répétés à des intervalles suffisamment courts et égaux ou si un examen est omis, il peut résulter d'un intervalle trop grand entre deux examens une impression inadéquate de discontinuité du développement.Ces écueils méthodologiques évités, l'analyse des examens EEG en séries longitudinales montre que le développement des activités Clectriques cérébrales s'effectue de faqon continue et progressive, conformément à un plan d'organisation . Ce plan s'exprime partiellement lors dechaque examen, mais de façon compléte seulement dans le pattern définitivement organisé de l'adolescent de 15 ans. Dans cette continuité du développement, on peut distinguer toutefois certaines époques, où I'organisation du 〈pattern〉électrographique paraît s'intensifier, se précipiter et se consolider. Ces époques, qui produisent alors l'impression d'une certaine discontinuité, méritent le nom de stades. On les rencontre chez I'enfant à l'âge de 6 à 7 ans, 9 à 9,6 ans, 11 ans, 13 ans et 15 ans. Le dkveloppement complet exprimé par le 〈pattern〉 electrographique de l'adolescent de 15 ans se caractérise par une différenciation, systématisation, stabilisation et localisation des activités éklectriques cérébrales. II existe en outre une correspondance entre cette conception du développement, baske sur l'analyse d'examens Clectro‐enckphalographiques en série longitudinale et celle de Piaget et Inhelder, basée sur des tests psychologiques des fonctions cognitives: conception du développement sous forme d'une succession de paliers d'équilibre d'extension toujours plus large et de mobilité toujours plus grande en même temps que de stabilité croissante. Enfin, il existe par ailleurs une concordance entre la chronologie des stades du développement électro‐physiologique et celle du développement des fonctions cognitives. (shrink)

(1996). Public opinion and democratic culture: The French revolution. The European Legacy: Vol. 1, Fourth International Conference of the International Society for the study of European Ideas, pp. 175-180.

Artificial intelligence is changing healthcare and the practice of medicine as data-driven science and machine-learning technologies, in particular, are contributing to a variety of medical and clinical tasks. Such advancements have also raised many questions, especially about public trust. As a response to these concerns there has been a concentrated effort from public bodies, policy-makers and technology companies leading the way in AI to address what is identified as a "public trust deficit". This paper argues that a focus on trust (...) as the basis upon which a relationship between this new technology and the public is built is, at best, ineffective, at worst, inappropriate or even dangerous, as it diverts attention from what is actually needed to actively warrant trust. Instead of agonising about how to facilitate trust, a type of relationship which can leave those trusting vulnerable and exposed, we argue that efforts should be focused on the difficult and dynamic process of ensuring reliance underwritten by strong legal and regulatory frameworks. From there, trust could emerge but not merely as a means to an end. Instead, as something to work in practice towards; that is, the deserved result of an ongoing ethical relationship where there is the appropriate, enforceable and reliable regulatory infrastructure in place for problems, challenges and power asymmetries to be continuously accounted for and appropriately redressed. Data sharing not applicable as no datasets generated and/or analysed for this study. (shrink)

Background In the UK, the solidaristic character of the NHS makes it one of the most trusted public institutions. In recent years, the introduction of data-driven technologies in healthcare has opened up the space for collaborations with private digital companies seeking access to patient data. However, these collaborations appear to challenge the public’s trust in the. Main text In this paper we explore how the opening of the healthcare sector to private digital companies challenges the existing social contract and the (...) NHS’s solidaristic character, and impacts on public trust. We start by critically discussing different examples of partnerships between the NHS and private companies that collect and use data. We then analyse the relationship between trust and solidarity, and investigate how this relationship changes in the context of digital companies entering the healthcare system. Finally, we show ways for the NHS to maintain public trust by putting in place a solidarity grounded partnership model with companies seeking to access patient data. Such a model would need to serve collective interests through, for example, securing preferential access to goods and services, providing health benefits, and monitoring data access. Conclusion A solidarity grounded partnership model will help establish a social contract or licence that responds to the public’s expectations and to principles of a solidaristic healthcare system. (shrink)