Guidance needed for using artificial intelligence to screen journal submissions for misconduct.

Journals and publishers are increasingly using artificial intelligence (AI) to screen submissions for potential misconduct, including plagiarism and data or image manipulation. While using AI can enhance the integrity of published manuscripts, it can also increase the risk of false/unsubstantiated allegations. Ambiguities related to journals' and publishers' responsibilities concerning fairness and transparency also raise ethical concerns.

Vulnerable Research Participant Policies at U.S. Academic Institutions.

Historically, some of the worst abuses of human research participants have involved populations which are vulnerable to coercion, harm, or exploitation, such as prisoners, children, and people with compromised decision-making abilities. Although there has been considerable philosophical and ethical debate about how to protect vulnerable populations, there have been only a handful of empirical studies on vulnerable population policies. We conducted a cross-sectional study on vulnerable population policies from the 105 top funded U.

Biosafety, biosecurity, and bioethics.

The COVID-19 pandemic has highlighted the importance of biosafety in the biomedical sciences. While it is often assumed that biosafety is a purely technical matter that has little to do with philosophy or the humanities, biosafety raises important ethical issues that have not been adequately examined in the scientific or bioethics literature. This article reviews some pivotal events in the history of biosafety and biosecurity and explores three different biosafety topics that generate significant ethical concerns, i.

A precautionary approach to autonomous vehicles.

In this article, we defend an approach to autonomous vehicle ethics and policy based on the precautionary principle. We argue that a precautionary approach is warranted, given the significant scientific and moral uncertainties related to autonomous vehicles, especially higher-level ones. While higher-level autonomous vehicles may offer many important benefits to society, they also pose significant risks, which are not fully understood at this juncture.

Should Researchers Destroy Audio or Video Recordings?

It is a common practice in qualitative research to transcribe audio or video files from interviews or focus groups and then destroy the files at some future time, usually after validating the transcript or concluding the research. We argue that it is time to rethink this practice and that retention of original qualitative data-including audio and video recordings-should be the default stance in most cases.

Responding to research misconduct allegations brought against top university officials.

Investigating research misconduct allegations against top officials can create significant conflicts of interest (COIs) for universities that may require changes to existing oversight frameworks. One way of addressing some of these challenges is to develop policies and procedures that specifically address investigation of allegations of misconduct involving top university officials. Steps can also be taken now regardless of whether such a body is created.

Factors related to the severity of research misconduct administrative actions: An analysis of office of research integrity case summaries from 1993 to 2023.

We extracted, coded, and analyzed data from 343 Office of Research Integrity (ORI) case summaries published in the and other venues from May 1993 to July 2023 to test hypotheses concerning the relationship between the severity of ORI administrative actions and various demographic and institutional factors. We found that factors indicative of the severity of the respondent's misconduct or a pattern of misbehavior were associated with the severity of ORI administrative actions. Being required by ORI to retract or correct publications and aggravating factors, such as interfering with an investigation, were both positively associated with receiving a funding debarment and with receiving an administrative action longer than three years.

Openness in Scientific Research: A Historical and Philosophical Perspective.

Openness is widely regarded as a pillar of scientific ethics because it promotes reproducibility and progress in science and benefits society. However, the sharing of scientific information can sometimes adversely impact the interests of human research participants, human communities or populations, scientists, and private research sponsors; and may threaten national security. Because openness may conflict with other important social values, solutions to ethical and policy dilemmas should include meaningful input from those who are impacted by the sharing and use of scientific information, including research participants, communities, and the public.

Editors' statement on the responsible use of generative AI technologies in scholarly journal publishing.

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.

Green bioethics, patient autonomy and informed consent in healthcare.

Green bioethics is an area of research and scholarship that examines the impact of healthcare practices and policies on the environment and emphasises environmental values, such as ecological sustainability and stewardship. Some green bioethicists have argued that healthcare providers should inform patients about the environmental impacts of treatments and advocate for options that minimise adverse impacts. While disclosure of information pertaining to the environmental impacts of treatments could facilitate autonomous decision-making and strengthen the patient-provider relationship in situations where patients have clearly expressed environmental concerns, it may have the opposite effect in other situations if makes patients feel like they are being judged or manipulated.

The ethics of disclosing the use of artificial intelligence tools in writing scholarly manuscripts.

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 , 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.

Editors' Statement on the Responsible Use of Generative AI Technologies in Scholarly Journal Publishing.

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.

Disclosing and Managing Non-Financial Conflicts of Interest in Scientific Publications.

In the last decade, there has been increased recognition of the importance of disclosing and managing non-financial conflicts of interests to safeguard the objectivity, integrity, and trustworthiness of scientific research. While funding agencies and academic institutions have had policies for addressing non-financial interests in grant peer review and research oversight since the 1990s, scientific journals have been only recently begun to develop such policies. An impediment to the formulation of effective journal policies is that non-financial interests can be difficult to recognize and define.

Ethical decision-making and role conflict in managing a scientific laboratory.

Scientists who manage research laboratories often face ethical dilemmas related to conflicts between their different roles, such as researcher, mentor, entrepreneur, and manager. It is not known how often uncertainty about conflicting role obligations leads scientists to engage in unethical conduct, but this probably occurs more often than many people would like to think. In this paper, we reflect on ethical decision-making in scientific laboratory management with special attention to how different roles create conflicting obligations and expectations that may produce moral uncertainty and lead to violations of research norms, especially when combined with self-interest and other factors that increase the risk of misbehavior.