In this article, we discuss ethical issues related to using and disclosing artificial intelligence (AI) tools, such as ChatGPT and other systems based on large language models (LLMs), to write or edit scholarly manuscripts. Some journals, such as Science, have banned the use of LLMs because of the ethical problems they raise concerning responsible authorship. We argue that this is not a reasonable response to the moral conundrums created by the use of LLMs because bans are unenforceable and would encourage (...) undisclosed use of LLMs. Furthermore, LLMs can be useful in writing, reviewing and editing text, and promote equity in science. Others have argued that LLMs should be mentioned in the acknowledgments since they do not meet all the authorship criteria. We argue that naming LLMs as authors or mentioning them in the acknowledgments are both inappropriate forms of recognition because LLMs do not have free will and therefore cannot be held morally or legally responsible for what they do. Tools in general, and software in particular, are usually cited in-text, followed by being mentioned in the references. We provide suggestions to improve APA Style for referencing ChatGPT to specifically indicate the contributor who used LLMs (because interactions are stored on personal user accounts), the used version and model (because the same version could use different language models and generate dissimilar responses, e.g., ChatGPT May 12 Version GPT3.5 or GPT4), and the time of usage (because LLMs evolve fast and generate dissimilar responses over time). We recommend that researchers who use LLMs: (1) disclose their use in the introduction or methods section to transparently describe details such as used prompts and note which parts of the text are affected, (2) use in-text citations and references (to recognize their used applications and improve findability and indexing), and (3) record and submit their relevant interactions with LLMs as supplementary material or appendices. (shrink)

BackgroundThe areas of Research Ethics (RE) and Research Integrity (RI) are rapidly evolving. Cases of research misconduct, other transgressions related to RE and RI, and forms of ethically questionable behaviors have been frequently published. The objective of this scoping review was to collect RE and RI cases, analyze their main characteristics, and discuss how these cases are represented in the scientific literature.MethodsThe search included cases involving a violation of, or misbehavior, poor judgment, or detrimental research practice in relation to a (...) normative framework. A search was conducted in PubMed, Web of Science, SCOPUS, JSTOR, Ovid, and Science Direct in March 2018, without language or date restriction. Data relating to the articles and the cases were extracted from case descriptions.ResultsA total of 14,719 records were identified, and 388 items were included in the qualitative synthesis. The papers contained 500 case descriptions. After applying the eligibility criteria, 238 cases were included in the analysis. In the case analysis, fabrication and falsification were the most frequently tagged violations (44.9%). The non-adherence to pertinent laws and regulations, such as lack of informed consent and REC approval, was the second most frequently tagged violation (15.7%), followed by patient safety issues (11.1%) and plagiarism (6.9%). 80.8% of cases were from the Medical and Health Sciences, 11.5% from the Natural Sciences, 4.3% from Social Sciences, 2.1% from Engineering and Technology, and 1.3% from Humanities. Paper retraction was the most prevalent sanction (45.4%), followed by exclusion from funding applications (35.5%).ConclusionsCase descriptions found in academic journals are dominated by discussions regarding prominent cases and are mainly published in the news section of journals. Our results show that there is an overrepresentation of biomedical research cases over other scientific fields compared to its proportion in scientific publications. The cases mostly involve fabrication, falsification, and patient safety issues. This finding could have a significant impact on the academic representation of misbehaviors. The predominance of fabrication and falsification cases might diverge the attention of the academic community from relevant but less visible violations, and from recently emerging forms of misbehaviors. (shrink)

This article explores the impact of an Increase in the average Number of Authors per Publication on known ethical issues of authorship. For this purpose, the ten most common ethical issues associated with scholarly authorship are used to set up a taxonomy of existing issues and raise awareness among the community to take precautionary measures and adopt best practices to minimize the negative impact of INAP. We confirm that intense international, interdisciplinary and complex collaborations are necessary, and INAP is an (...) expression of this trend. However, perverse incentives aimed to increase institutional and personal publication counts and egregious instances of guest or honorary authorship are problematic. We argue that whether INAP is due to increased complexity and scale of science, perverse incentives or undeserved authorship, it could negatively affect known ethical issues of authorship at some level. In the long run, INAP depreciates the value of authorship status and may disproportionately impact junior researchers and those who contribute to technical and routine tasks. We provide two suggestions that could reduce the long-term impact of INAP on the reward system of science. First, we suggest further refinement of the CRediT taxonomy including better integration into current systems of attribution and acknowledgement, and better harmony with major authorship guidelines such as those suggested by the ICMJE. Second, we propose adjustments to the academic recognition and promotion systems at an institutional level as well as the introduction of best practices. (shrink)

Retractions solicited by authors following the discovery of an unintentional error—what we henceforth call a “self-retraction”—are a new phenomenon of growing importance, about which very little is known. Here we present results of a small qualitative study aimed at gaining preliminary insights about circumstances, motivations and beliefs that accompanied the experience of a self-retraction. We identified retraction notes that unambiguously reported an honest error and that had been published between the years 2010 and 2015. We limited our sample to retractions (...) with at least one co-author based in the Netherlands, Belgium, United Kingdom, Germany or a Scandinavian country, and we invited these authors to a semi-structured interview. Fourteen authors accepted our invitation. Contrary to our initial assumptions, most of our interviewees had not originally intended to retract their paper. They had contacted the journal to request a correction and the decision to retract had been made by journal editors. All interviewees reported that having to retract their own publication made them concerned for their scientific reputation and career, often causing considerable stress and anxiety. Interviewees also encountered difficulties in communicating with the journal and recalled other procedural issues that had unnecessarily slowed down the process of self-retraction. Intriguingly, however, all interviewees reported how, contrary to their own expectations, the self-retraction had brought no damage to their reputation and in some cases had actually improved it. We also examined the ethical motivations that interviewees ascribed, retrospectively, to their actions and found that such motivations included a combination of moral and prudential considerations. These preliminary results suggest that scientists would welcome innovations to facilitate the process of self-retraction. (shrink)

Artificial intelligence (AI), large language models (LLMs), such as Open AI’s ChatGPT, have a remarkable ability to process and generate human language but have also raised complex and novel ethica...

Much has been said about the need for improving the current definitions of scientific authorship, but an aspect that is often overlooked is how to formulate and communicate these definitions to ensure that they are comprehensible and useful for researchers, notably researchers active in international research consortia. In light of a rapid increase in international collaborations within natural sciences, this article uses authorship of this branch of sciences as an example and provides suggestions to improve the comprehensibility of the definitions (...) of authorship in natural sciences. It assesses whether the definition of authorship provided by the European Code of Conduct for Research Integrity can deal with current issues and problems of scientific authorship. Notably, problems that are experienced in project groups with researchers coming from multiple countries. Using theories developed by Jürgen Habermas and Robert Merton, a normative framework is developed to articulate ethical authorship in natural sciences. Accordingly, enriching the current definition of authorship with normative elements and using discipline-specific metaphors to communicate them are introduced as possible ways of improving the comprehensibility of the definition of authorship in international environments. Finally, this article provides a proposal to be considered in the future revisions of the European Code of Conduct for Research Integrity. (shrink)

The article at hand presents the results of a literature review on the ethical issues related to scientific authorship. These issues are understood as questions and/or concerns about obligations, values or virtues in relation to reporting, authorship and publication of research results. For this purpose, the Web of Science core collection was searched for English resources published between 1945 and 2018, and a total of 324 items were analyzed. Based on the review of the documents, ten ethical themes have been (...) identified, some of which entail several ethical issues. Ranked on the basis of their frequency of occurrence these themes are: 1) attribution, 2) violations of the norms of authorship, 3) bias, 4) responsibility and accountability, 5) authorship order, 6) citations and referencing, 7) definition of authorship, 8) publication strategy, 9) originality, and 10) sanctions. In mapping these themes, the current article explores major ethical issue and provides a critical discussion about the application of codes of conduct, various understandings of culture, and contributing factors to unethical behavior. (shrink)

The practice of assigning authorship for a scientific publication tends to raise two normative questions: 1) ‘who should be credited as an author?’; 2) ‘who should not be credited as an author but should still be acknowledged?’. With the publication of the revised version of The European Code of Conduct for Research Integrity (ECCRI), standard answers to these questions have been called into question. This article examines the ways in which the ECCRI approaches these two questions and compares these approaches (...) to standard definitions of ‘authorship’ and ‘acknowledgment’ in guidelines issued by the International Committee of Medical Journal Editors (ICMJE) and the World Association of Medical Editors (WAME). In light of two scenarios and the problems posed by these kinds of ‘real-world’ examples, we recommend specific revisions to the content of the ECCRI in order not only to provide a more detailed account of the tasks deserving of acknowledgment, but to improve the Code’s current definition of authorship. (shrink)

Much has been said about the need for improving the current definitions of scientific authorship, but an aspect that is often overlooked is how to formulate and communicate these definitions to ensure that they are comprehensible and useful for researchers, notably researchers active in international research consortia. In light of a rapid increase in international collaborations within natural sciences, this article uses authorship of this branch of sciences as an example and provides suggestions to improve the comprehensibility of the definitions (...) of authorship in natural sciences. It assesses whether the definition of authorship provided by the European Code of Conduct for Research Integrity can deal with current issues and problems of scientific authorship. Notably, problems that are experienced in project groups with researchers coming from multiple countries. Using theories developed by Jürgen Habermas and Robert Merton, a normative framework is developed to articulate ethical authorship in natural sciences. Accordingly, enriching the current definition of authorship with normative elements and using discipline-specific metaphors to communicate them are introduced as possible ways of improving the comprehensibility of the definition of authorship in international environments. Finally, this article provides a proposal to be considered in the future revisions of the European Code of Conduct for Research Integrity. (shrink)

Over the past several years, there has been a significant increase in the number of scientific articles with two or more authors claiming “Equal Co-First Authorship”. This study provides a critical background to ECFA designations, discusses likely causes of its increased use, and explores arguments for and against the practice. Subsequently, it presents the results of a qualitative study that sought the opinion of 19 authors listed among equal first authors of recent publications in leading scientific journals about ECFA designations. (...) Results show that circumstances leading to ECFA designations vary significantly from each other. While the development of policies for these situations would not be easy, participants suggested that the lack of clear and consistent policies regarding the attribution and evaluation of ECFA contributes to tensions amongst ECFA authors and obscures their preferred attributions of credit. (shrink)

The new generative artificial intelligence (AI) tools, and especially the large language models (LLMs) of which ChatGPT is the most prominent example, have the potential to transform many aspects o...

Generative artificial intelligence (AI) has the potential to transform many aspects of scholarly publishing. Authors, peer reviewers, and editors might use AI in a variety of ways, and those uses might augment their existing work or might instead be intended to replace it. We are editors of bioethics and humanities journals who have been contemplating the implications of this ongoing transformation. We believe that generative AI may pose a threat to the goals that animate our work but could also be (...) valuable for achieving those goals. In the interests of fostering a wider conversation about how generative AI may be used, we have developed a preliminary set of recommendations for its use in scholarly publishing. We hope that the recommendations and rationales set out here will help the scholarly community navigate toward a deeper understanding of the strengths, limits, and challenges of AI for responsible scholarly work. (shrink)

Generative artificial intelligence (AI) has the potential to transform many aspects of scholarly publishing. Authors, peer reviewers, and editors might use AI in a variety of ways, and those uses might augment their existing work or might instead be intended to replace it. We are editors of bioethics and humanities journals who have been contemplating the implications of this ongoing transformation. We believe that generative AI may pose a threat to the goals that animate our work but could also be (...) valuable for achieving those goals. In the interests of fostering a wider conversation about how generative AI may be used, we have developed a preliminary set of recommendations for its use in scholarly publishing. We hope that the recommendations and rationales set out here will help the scholarly community navigate toward a deeper understanding of the strengths, limits, and challenges of AI for responsible scholarly work. (shrink)

BackgroundDiscrimination in health care is an international challenge and a serious obstacle to justice and equality in health.Research objectiveThe purpose of this study was to design a grounded theory of discrimination in health care based on the experiences and perceptions of Iranian healthcare providers and patients.Research designThis qualitative study was conducted using by the grounded theory method.Participants and research contextData were collected through semi-structured interviews with 18 healthcare providers including 11 nurses, two physicians, two nurse’s assistants, and three patients in (...) two general hospitals in Tehran, Iran. Participants were selected through purposeful sampling and analyzed simultaneously using the Corbin and Strauss (2015) approach.Ethical considerationsThe study was approved by the Research Ethics Committee of the University of Social Welfare and Rehabilitation Sciences (Ethics code: IR.USWR.REC.1398.023). Also, after explaining the objectives of the study, all the participants completed and signed the written consent form.FindingsThe “culture of discrimination” was the study’s core category, reflecting the nature of discrimination in health care. The theory of “culture of discrimination in health care” is the result of five main categories: “individual social stimuli,” “culture of discrimination,” “unintentional discrimination,” “conflict with discrimination,” and “dissatisfaction with discriminatory behavior.” These categories cover the underlying factors, strategies, and outcomes of the discrimination process in health care.DiscussionThe results of the study showed that nurses and other health care providers experience unintentional discrimination. Unintentional discrimination refers to discriminatory behaviors and practices of health care providers.ConclusionThe theory of culture of discrimination in health care can be used as a practical guide to describe and understand the role of health care providers, especially nurses. Further studies with a quantitative approach to applying this theory in medical settings are recommended. (shrink)

The new generative artificial intelligence (AI) tools, and especially the large language models (LLMs) of which ChatGPT is the most prominent example, have the potential to transform many aspects o...

There has been an increase in the number of journal articles that are co-authored by researchers who claim to have made equal contributions. This growth has sparked discussions in the literature, especially within medical journals. To extend the debate beyond medical disciplines and support journal editors in forming an opinion, the current review collates and explores published viewpoints about so-called Equal Co-authorship practices. The Web of Science core database was used to identify publications that mention and discuss EC. Within the (...) limited number of publications that were found on the Web of Science database, the most-cited item was used to trace other papers that discuss EC. In total, 39 papers met the inclusion criteria. This review identifies four main themes within the sample including the growth of EC, challenges of attributing EC, guidelines and policies about EC and gender issues in the attribution of EC. Based on the survey and analysis of publications that discuss EC, this review provides recommendations regarding journal policy statements, and EC indicators. Those recommendations include: journal policies should address EC; and use should be made of available functionalities to capture and indicate equal contributions. (shrink)

This paper analyzes the ethics of social science research employing big data. We begin by highlighting the research gap found on the intersection between big data ethics, SSR and research ethics. We then discuss three aspects of big data SSR which make it warrant special attention from a research ethics angle: the interpretative character of both SSR and big data, complexities of anticipating and managing risks in publication and reuse of big data SSR, and the paucity of regulatory oversight and (...) ethical recommendations on protecting individual subjects as well as societies when conducting big data SSR. Against this backdrop, we propose using David Resnik’s research ethics framework to analyze some of the most pressing ethical issues of big data SSR. Focusing on the principles of honesty, carefulness, openness, efficiency, respect for subjects, and social responsibility, we discuss three clusters of ethical issues: those related to methodological biases and personal prejudices, those connected to risks arising from data availability and reuse, and those leading to individual and social harms. Finally, we advance considerations to observe in developing future ethical guidelines about big data SSR. (shrink)

First introduced in 2015, Contributor Role Ontologies and Taxonomies are the most recent innovation developed to address ethical issues of scholarly authorship. By providing a standard list of roles to specify individual contributions to publications, CROTs enhance transparency and consistency about the reporting of conducted tasks, and accordingly, improve the attribution of credit and responsibilities. Although various parties such as academic journals and universities are increasingly adopting CROTs, thus far no study has evaluated them from an ethical perspective. To fill (...) this gap, this study develops an assessment instrument and subsequently analyses three major CROTs including CRediT, CRO and TaDiRAH, and provides recommendations for improving them from an ethical perspective. This study uses a bottom-up approach comprised of two literature reviews, combined with a review of non-conventional sources to collate concerns about authorship and use of CROTs, and generate candidate assessment criteria. Then with a top-down approach and using David Resnik’s 12 principles of research ethics, developed candidate assessment criteria are further analysed, and an assessment instrument consisting of 25 justified criteria is compiled. This instrument is used to identify the ethical strengths and weaknesses of CRediT, CRO and TaDiRAH. Finally, using current best practices and available technology in publication processes, recommendations are provided for further development and improvement of CROTs. Results show that CRediT satisfies more criteria than other CROTs. In relation to the attribution of credit and usability, CRediT provides unique options. However, unlike TaDiRAH that is translated into languages other than English, and CRO that has revised its roles, CRediT is only available in English and has not been updated yet. Improving CROTs benefits almost all parties involved in the development, production, or use of academic publications such as researchers, journal editors, librarians, hiring and promotion committees and funders. (shrink)

BackgroundInaccurate citations are erroneous quotations or instances of paraphrasing of previously published material that mislead readers about the claims of the cited source. They are often unaddressed due to underreporting, the inability of peer reviewers and editors to detect them, and editors’ reluctance to publish corrections about them. In this paper, we propose a new tool that could be used to tackle their circulation.MethodsWe provide a review of available data about inaccurate citations and analytically explore current ways of reporting and (...) dealing with these inaccuracies. Consequently, we make a distinction between publication and circulation of inaccurate citations. Sloppy reading of published items, literature ambiguity and insufficient quality control in the editorial process are identified as factors that contribute to the publication of inaccurate citations. However, reiteration or copy-pasting without checking the validity of citations, paralleled with lack of resources/motivation to report/correct inaccurate citations contribute to their circulation.Results and discussionWe propose the development of an online annotation tool called “MyCites” as means with which to mark and map inaccurate citations. This tool allows ORCID users to annotate citations and alert authors and also editors of journals where inaccurate citations are published. Each marked citation would travel with the digital version of the document and be visible on websites that host peer-reviewed articles. In the future development of MyCites, challenges such as the conditions of correct/incorrect-ness and parties that should adjudicate that, and, the issue of dealing with incorrect reports need to be addressed. (shrink)

BackgroundThe current paper follows up on the results of an exploratory quantitative analysis that compared the publication and citation records of men and women researchers affiliated with the Faculty of Computing and Engineering at Dublin City University in Ireland. Quantitative analysis of publications between 2013 and 2018 showed that women researchers had fewer publications, received fewer citations per person, and participated less often in international collaborations. Given the significance of publications for pursuing an academic career, we used qualitative methods to (...) understand these differences and explore factors that, according to women researchers, have contributed to this disparity.MethodsSixteen women researchers from DCU’s Faculty of Computing and Engineering were interviewed using a semi-structured questionnaire. Once interviews were transcribed and anonymised, they were coded by both authors in two rounds using an inductive approach.ResultsInterviewed women believed that their opportunities for research engagement and research funding, collaborations, publications and promotions are negatively impacted by gender roles, implicit gender biases, their own high professional standards, family responsibilities, nationality and negative perceptions of their expertise and accomplishments.ConclusionsOur study has found that women in DCU’s Faculty of Computing and Engineering face challenges that, according to those interviewed, negatively affect their engagement in various research activities, and, therefore, have contributed to their lower publication record. We suggest that while affirmative programmes aiming to correct disparities are necessary, they are more likely to improve organisational culture if they are implemented in parallel with bottom-up initiatives that engage all parties, including men researchers and non-academic partners, to inform and sensitise them about the significance of gender equity. (shrink)

Background:The decision-making process should be done according to a set of rules and principles so as to be fairly understood.Objectives:The aim of this study was to identify the basic principles and rules used by nurses to understand justice in nurse managers’ decision-making processes based on a procedural justice model.Research design and participants:This research was a qualitative study based on directed content analysis, which was performed on a group of 15 nurses working in different hospitals in Tehran, Iran. An in-depth semi-structured (...) interview was used as the method of data collection for this study.Ethical consideration:This research has been approved by the Ethics Committee of the University of Social Welfare and Rehabilitation Sciences. The respondents were informed about the aim of the study, about voluntary participation, anonymity and confidentiality.Findings:The results of this study showed that in order to understand procedural justice, nurses use several rules, including: duties organization, managerial support, consistency, bias-suppression, accuracy, correctability, representativeness, and ethicality.Conclusion:Nursing leaders must consider the importance of justice rules as one of many strategies to ensure the nurses’ perception of fairness in decision-making processes. (shrink)