Moral food lab: Transforming the food system with crowd-sourced ethics
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Aim: Midwives are expected to identify and help resolve ethics problems that arise in practice, skills that are presumed to be taught in midwifery educational programs. In this study, we explore how midwives recognize ethical dilemmas in clinical practice and examine the sources of their ethics education. Methods: We conducted semi-structured, individual interviews with midwives from throughout the United States (U.S.) (n = 15). Transcripts of the interviews were analysed using an iterative process to identify themes and subthemes. Findings: Midwives described a range of professional ethical dilemmas, including challenges related to negotiating strained interprofessional relationships and protecting or promoting autonomy for women. Ethical dilemmas were identified by the theme of unease, a sense of distress that was expressed in three subthemes: uncertainty of action, compromise in action, and reflecting on action. Learning about ethics and ethical dilemmas occurred, for the most part, outside of the classroom, with the majority of participants reporting that their midwifery program did not confer the skills to identify and resolve ethical challenges. Conclusion: Midwives in this study reported a range of ethical challenges and minimal classroom education related to ethics. Midwifery educators should consider the purposeful and explicit inclusion of midwifery-specific ethics content in their curricula and in interprofessional ethics education. Reflection and self-awareness of bias were identified as key components of understanding ethical frameworks. As clinical preceptors were identified as a key source of ethics learning, midwifery educators should consider ways to support preceptors in building their skills as role models and ethics educators.
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Artificial intelligence (AI) is a technology which is increasingly being utilised in society and the economy worldwide, but there is much disquiet over problematic and dangerous implementations of AI, or indeed even AI itself deciding to do dangerous and problematic actions. These developments have led to concerns about whether and how AI systems currently adhere to and will adhere to ethical standards, stimulating a global and multistakeholder conversation on AI ethics and the production of AI governance initiatives. Such developments form the basis for this chapter, where we give an insight into what is happening in Australia, China, the European Union, India and the United States. We commence with some background to the AI ethics and regulation debates, before proceedings to give an overview of what is happening in different countries and regions, namely Australia, China, the European Union (including national level activities in Germany), India and the United States. We provide an analysis of these country profiles, with particular emphasis on the relationship between ethics and law in each location. Overall we find that AI governance and ethics initiatives are most developed in China and the European Union, but the United States has been catching up in the last eighteen months.
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In this article, we describe a study on the impact of an ethics program aimed at strengthening the ethical agency of 15 social workers of three welfare organizations. The goal of the study was to make an inventory of the impact of the program, and to evaluate the relevance of this impact with the help of several stakeholders. The most significant change (MSC) approach was used as a research strategy, though some changes to the approach were made with a view to our research goal. We explain the MSC approach and how we used it in our study design. Further, we describe the research process, answering the question whether our adaptation of the MSC was helpful to inventory the impact of our ethics program and the evaluation of its relevance. The implications of MSC's focus on "most significant" changes and the need for a thorough feedback of the results of the evaluation process in the participating organizations are discussed.
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This thesis is about dilemmas, discretionary space and ethics in public welfare. In my position as a lecturer of ethics in socio-legal practices I am concerned with the way in which these practices open up to an ethical development of their professionals. Thus, this thesis is a search for the most fundamental themes and issues in understanding and judging public welfare as a, perhaps, ethical socio-legal practice. In the field of public services professionals function as the intermediary between government and citizen. In their daily work public welfare professionals take care of the important societal task and goal of poverty alleviation. During the last decades, public welfare has developed into a civil right that involves many obligations on the part of the client in return. The requirement to see to it that the client fulfils these obligations has complicated the public welfare professional’s task of helping citizens in need.
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Sarah Banks (2012) describes ethics work mainly as the effort people put into developing themselves as good practitioners. She discerns six aspects of ethics work: identity work, framing work, reason work, emotion work, role work and performance work. Although ethics work focuses on the ethical development of individual practitioners within their profession, the concept and all its aspects can be transferred into an ethical guideline for the collective development of practitioners in interprofessional cooperation. As such the concept of collective interprofessional ethics work can also be used as a set of criteria for the ethical evaluation of interprofessional cooperation, as is shown on the basis of an experiment in Belgium
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This article examines two areas of tension within environmental ethics literature and relates them to the case study of the animal representation in the Dutch media. On the one hand, there is a tension between those who propagate clear division between anthropocentric and non-anthropocentric views; on the other hand, there is a tension between the land ethics perspective and animal right proponents. This article examines the media representation of animals using content analysis, and links the findings back to the areas of tension within environmental ethics. The main findings indicate that the division between anthropocentric and ecocentric perspectives is still relevant for evaluating the human-animal relations, while the convergence of the land ethics and animal rights perspectives can be helpful in explaining why this division is relevant. This is a post-peer-review, pre-copyedit version of an article published in "Environmental Processes".The final authenticated version is available online at: https://doi.org/10.1007/s40710-014-0025-7 https://www.linkedin.com/in/helenkopnina/
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To identify ethical issues that interns encounter in their clinical education and thus build a more empirical basis for the required contents of the clinical ethics curriculum. The authors analyzed a total of 522 required case reports on ethical dilemmas experienced by interns from September 1995 to May 1999 at the medical school of Vrije Universiteit in Amsterdam. They identified four regularly described and numerous less frequently described topics. The interns addressed a wide range of ethical themes. In 45% of the cases, they mentioned disclosure or non-disclosure of information and informed consent; in 37%, medical decisions at the end of life; in 16%, medical failures; and in 9%, problems transferring patients from one caregiver to another. The interns also identified 27 themes linked to their unique position as interns and 19 themes related to specific types of patients. Based on self-reported experiences, the authors conclude that clinical ethics teachers should reflect on a multitude of dilemmas. Special expertise is required with respect to end-of-life decisions, truth telling, medical failures, and transferring patients from one caregiver to another. The clinical ethics curriculum should encourage students to voice their opinions and deal with values, responsibilities, and the uncertainty and failings of medical interventions.
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From the article: The ethics guidelines put forward by the AI High Level Expert Group (AI-HLEG) present a list of seven key requirements that Human-centered, trustworthy AI systems should meet. These guidelines are useful for the evaluation of AI systems, but can be complemented by applied methods and tools for the development of trustworthy AI systems in practice. In this position paper we propose a framework for translating the AI-HLEG ethics guidelines into the specific context within which an AI system operates. This approach aligns well with a set of Agile principles commonly employed in software engineering. http://ceur-ws.org/Vol-2659/
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Background: Honorary authorship refers to the practice of naming an individual who has made little or no contribution to a publication as an author. Honorary authorship inflates the output estimates of honorary authors and deflates the value of the work by authors who truly merit authorship. This manuscript presents the protocol for a systematic review that will assess the prevalence of five honorary authorship issues in health sciences. Methods: Surveys of authors of scientific publications in health sciences that assess prevalence estimates will be eligible. No selection criteria will be set for the time point for measuring outcomes, the setting, the language of the publication, and the publication status. Eligible manuscripts are searched from inception onwards in PubMed, Lens.org, and Dimensions.ai. Two calibrated authors will independently search, determine eligibility of manuscripts, and conduct data extraction. The quality of each review outcome for each eligible manuscript will be assessed with a 14-item checklist developed and piloted for this review. Data will be qualitatively synthesized and quantitative syntheses will be performed where feasible. Criteria for precluding quantitative syntheses were defined a priori. The pooled random effects double arcsine transformed summary event rates of five outcomes on honorary authorship issues with the pertinent 95% confidence intervals will be calculated if these criteria are met. Summary estimates will be displayed after back-transformation. Stata software (Stata Corporation, College Station, TX, USA) version 16 will be used for all statistical analyses. Statistical heterogeneity will be assessed using Tau2 and Chi2 tests and I2 to quantify inconsistency. Discussion: The outcomes of the planned systematic review will give insights in the magnitude of honorary authorship in health sciences and could direct new research studies to develop and implement strategies to address this problem. However, the validity of the outcomes could be influenced by low response rates, inadequate research design, weighting issues, and recall bias in the eligible surveys. Systematic review registration: This protocol was registered a priori in the Open Science Framework (OSF) link: https://osf.io/5nvar/.
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