The Moral Psychology of Artificial Intelligence.

Moral psychology was shaped around three categories of agents and patients: humans, other animals, and supernatural beings. Rapid progress in artificial intelligence has introduced a fourth category for our moral psychology to deal with: intelligent machines. Machines can perform as moral agents, making decisions that affect the outcomes of human patients or solving moral dilemmas without human supervision. Machines can be perceived as moral patients, whose outcomes can be affected by human decisions, with important consequences for human-machine cooperation. Machines can be moral proxies that human agents and patients send as their delegates to moral interactions or use as a disguise in these interactions. Here we review the experimental literature on machines as moral agents, moral patients, and moral proxies, with a focus on recent findings and the open questions that they suggest.

The Genetic Discrimination Observatory: confronting novel issues in genetic discrimination.

Genetic discrimination (GD) is the differential or unfair profiling of an individual on the basis of genetic data. This article summarizes the actions of the Genetic Discrimination Observatory (GDO) in addressing GD and recent developments in GD since late 2020. It shows how GD can take many forms in today's rapidly evolving society.

The Emergence and Global Spread of Noninvasive Prenatal Testing.

Since its introduction in 2011, noninvasive prenatal testing (NIPT) has spread rapidly around the world. It carries numerous benefits but also raises challenges, often related to sociocultural, legal, and economic contexts. This article describes the implementation of NIPT in nine countries, each with its own unique characteristics: Australia, Canada, China and Hong Kong, India, Israel, Lebanon, the Netherlands, the United Kingdom, and the United States. Themes covered for each country include the structure of the healthcare system, how NIPT is offered, counseling needs and resources, and cultural and legal context regarding disability and pregnancytermination. Some common issues emerge, including cost as a barrier to equitable access, the complexity of decision-making about public funding, and a shortage of appropriate resources that promote informed choice. Conversely, sociocultural values that underlie the use of NIPT vary greatly among countries. The issues described will become even more challenging as NIPT evolves from a second-tier to a first-tier screening test with expanded use.

Perception of Polish patients with cancer of the ethical and legal issues related to biobank research.

BACKGROUND: Although biobanks have become fundamental to many research centers and contribute to medical development, they generate many ethical and legal issues that may discourage patients from donating. MATERIALS AND METHODS: To understand patients' perception of ethical and legal issues related to biobanks we conducted a survey among 548 Polish patients with cancer. RESULTS: While 93.1% of patients with cancer declared themselves willing to donate biospecimens left over after a medical procedure to a biobank, most opted for one-time consent or study-specific consent, blanket consent being less frequently preferred. Many patients believed that future use of previously collected tissues require second contact. Most patients preferred pseudonymization over anonymization of the data, and supported donors' right to withdraw informed consent at any given moment. Finally, while personal health information was the most expected form of compensation for donation, most patients suggested that all parties, including the biobank concerned, the sponsors of the research, and the donors, should own the rights to cancer tissues donated and profit from the biobank research. Patients' opinions on the ethical and legal issues related to biobank research were associated with age, sex, religiosity, education level, and place of residence. CONCLUSIONS: Since biobanks generate ethical and legal issues related to informed consent, data protection and storage, as well as the sharing of biosamples, tissue ownership, and profit sharing, that may discourage patients from donation, when asking a patient for a donation, healthcare professionals should communicate in a donor-centered manner and address patients' ethical and moral concerns related to donation and offer resources to help manage these concerns.

Generative Adversarial Networks in Digital Histopathology: Current Applications, Limitations, Ethical Considerations, and Future Directions.

Generative adversarial networks (GANs) have gained significant attention in the field of image synthesis, particularly in computer vision. GANs consist of a generative model and a discriminative model trained in an adversarial setting to generate realistic and novel data. In the context of image synthesis, the generator produces synthetic images, whereas the discriminator determines their authenticity by comparing them with real examples. Through iterative training, the generator allows the creation of images that are indistinguishable from real ones, leading to high-quality image generation. Considering their success in computer vision, GANs hold great potential for medical diagnostic applications. In the medical field, GANs can generate images of rare diseases, aid in learning, and be used as visualization tools. GANs can leverage unlabeled medical images, which are large in size, numerous in quantity, and challenging to annotate manually. GANs have demonstrated remarkable capabilities in image synthesis and have the potential to significantly impact digital histopathology. This review article focuses on the emerging use of GANs in digital histopathology, examining their applications and potential challenges. Histopathology plays a crucial role in disease diagnosis, and GANs can contribute by generating realistic microscopic images. However, ethical considerations arise because of the reliance on synthetic or pseudogenerated images. Therefore, the manuscript also explores the current limitations and highlights the ethical considerations associated with the use of this technology. In conclusion, digital histopathology has seen an emerging use of GANs for image enhancement, such as color (stain) normalization, virtual staining, and ink/marker removal. GANs offer significant potential in transforming digital pathology when applied to specific and narrow tasks (preprocessing enhancements). Evaluating data quality, addressing biases, protecting privacy, ensuring accountability and transparency, and developing regulation are imperative to ensure the ethical application of GANs.

Role and ethics of cynomolgus monkey (Macaca fascicularis) blastoids in primate developmental biology research.

This review on cynomolgus monkey (Macaca fascicularis) blastoids discusses a breakthrough in modeling early non-human primate embryogenesis, offering insights into embryonic development and implantation processes. It acknowledges ethical challenges and animal welfare considerations in developmental biology, suggests potential applications in human reproductive medicine, and highlights the need for ongoing ethical and technical refinement.

Rising adoption of artificial intelligence in scientific publishing: evaluating the role, risks, and ethical implications in paper drafting and review process.

BACKGROUND: In the rapid evolving landscape of artificial intelligence (AI), scientific publishing is experiencing significant transformations. AI tools, while offering unparalleled efficiencies in paper drafting and peer review, also introduce notable ethical concerns. CONTENT: This study delineates AI's dual role in scientific publishing: as a co-creator in the writing and review of scientific papers and as an ethical challenge. We first explore the potential of AI as an enhancer of efficiency, efficacy, and quality in creating scientific papers. A critical assessment follows, evaluating the risks vs. rewards for researchers, especially those early in their careers, emphasizing the need to maintain a balance between AI's capabilities and fostering independent reasoning and creativity. Subsequently, we delve into the ethical dilemmas of AI's involvement, particularly concerning originality, plagiarism, and preserving the genuine essence of scientific discourse. The evolving dynamics further highlight an overlooked aspect: the inadequate recognition of human reviewers in the academic community. With the increasing volume of scientific literature, tangible metrics and incentives for reviewers are proposed as essential to ensure a balanced academic environment. SUMMARY: AI's incorporation in scientific publishing is promising yet comes with significant ethical and operational challenges. The role of human reviewers is accentuated, ensuring authenticity in an AI-influenced environment. OUTLOOK: As the scientific community treads the path of AI integration, a balanced symbiosis between AI's efficiency and human discernment is pivotal. Emphasizing human expertise, while exploit artificial intelligence responsibly, will determine the trajectory of an ethically sound and efficient AI-augmented future in scientific publishing.

Should it stay, or swerve? Trading off lives in dilemma situations involving autonomous cars.

Using a representative survey with 1317 individuals and 12,815 moral decisions, we elicit Swedish citizens' preferences on how algorithms for self-driving cars should be programmed in cases of unavoidable harm to humans. Participants' choices in different dilemma situations (treatments) show that, at the margin, the average respondent values the lives of passengers and pedestrians equally when both groups are homogeneous and no group is to blame for the dilemma. In comparison, the respondent values the lives of passengers more when the pedestrians violate a social norm, and less when the pedestrians are children. Furthermore, we explain why the average respondent in the control treatment needs to be compensated with two to six passengers spared in order to sacrifice the first pedestrian, even though she values the lives of passengers and pedestrians equally at the margin. We conclude that respondents' choices are highly contextual and consider the age of the persons involved and whether these persons have complied with social norms.

Examining where to go: pediatric psychology trainees' perception of their graduate training in culture and diversity.

OBJECTIVE: Culture and diversity-related training is critical to the development of competent pediatric psychologists. Evaluation of training efforts have been conducted at the program level, yet evaluation of trainee experiences in culture and diversity-related training remains unassessed. This trainee-led study was the first formal assessment of pediatric psychology trainee experiences of culture and diversity-related training and the impact of training on their own cultural humility. METHODS: Study overview and a survey link was distributed across 2 listservs associated with the American Psychological Association (Division 53, Division 54) and sent directly to directors of graduate, internship, and fellowship training programs with a request to share with trainees. Surveys assessing integration of cultural training and trainee cultural humility were completed. Trainees also provided qualitative feedback regarding their multicultural training and development. RESULTS: Pediatric psychology trainees (N = 90) reported inconsistent integration of culture and diversity topics into their training. Of the 34 training areas assessed, 10 were perceived as thoroughly integrated into formal training by at least half of the respondents. Trainees often sought independent cultural training outside of their programs, and no relationship was detected between perceived integration of cultural training and trainee cultural competence. DISCUSSION: Results indicate room for improvement regarding integration of cultural training and a need to better understand driving forces behind trainees independently seeking training outside of their formal training programs. Moreover, understanding the aspects of training that are most contributory to trainee development is needed given that no relationship between training and development emerged in the current study.

Female Affective Perception of Mainstream and Paraphilic Pornography: Associations with Sexual and Psychological Intrapersonal Variables.

Understanding affective perceptual processes can further contribute to the explanation of motivation and actions, as well as sexual risk behaviors. Pornography can be considered salient emotional content and is popular, also among females. Yet, the female perspective on pornography has often been overlooked and it remains unclear how individual variables may be associated with the affective perception of pornography and could provide a risk profile. Possible associations between several sexual and psychological intrapersonal variables and the affective perception of various forms of pornography were analyzed from the female perspective. A sample of 231 females (M = 21.87 years; SD = 3.9 years) provided ratings of affective valence, arousal, disgust, and moral and ethical acceptance for mainstream pornographic and paraphilic images of dominance, submission, or sexual violence. Paraphilic pornography was perceived as less pleasant, arousing, and moral and ethically acceptable, but more disgusting compared to mainstream pornography. This was more pronounced among females who had never consumed pornography. Results further suggest that the female affective perception of pornography was associated with the following sexual intrapersonal variables: sexual sensation seeking for physical sensations, erotophilia, lack of sexual control, problematic pornography consumption, and sexual disgust sensitivity. Of the assessed psychological intrapersonal variables, only anxiety was negatively associated with disgust for paraphilic pornography. It is important to further analyze the female affective perception of pornography and associated variables to include them in strategies for prevention and for addressing problematic consequences of the acceptance of specific sexual content and behaviors, especially related to sexualized violence.

Exploring the Ethical, Legal, and Social Implications of ChatGPT in Urology.

PURPOSE OF THE REVIEW: ChatGPT is programmed to generate responses based on pattern recognition. With this vast popularity and exponential growth, the question arises of moral issues, security and legitimacy. In this review article, we aim to analyze the ethical and legal implications of using ChatGPT in Urology and explore potential solutions addressing these concerns. RECENT FINDINGS: There are many potential applications of ChatGPT in urology, and the extent to which it might improve healthcare may cause a profound shift in the way we deliver our services to patients and the overall healthcare system. This encompasses diagnosis and treatment planning, clinical workflow, patient education, augmenting consultations, and urological research. The ethical and legal considerations include patient autonomy and informed consent, privacy and confidentiality, bias and fairness, human oversight and accountability, trust and transparency, liability and malpractice, intellectual property rights, and regulatory framework. The application of ChatGPT in urology has shown great potential to improve patient care and assist urologists in various aspects of clinical practice, research, and education. Complying with data security and privacy regulations, and ensuring human oversight and accountability are some potential solutions to these legal and ethical concerns. Overall, the benefits and risks of using ChatGPT in urology must be weighed carefully, and a cautious approach must be taken to ensure that its use aligns with human values and advances patient care ethically and responsibly.

Community views on the secondary use of general practice data: Findings from a mixed-methods study.

INTRODUCTION: General practice data, particularly when combined with hospital and other health service data through data linkage, are increasingly being used for quality assurance, evaluation, health service planning and research. In this study, we explored community views on sharing general practice data for secondary purposes, including research, to establish what concerns and conditions need to be addressed in the process of developing a social licence to support such use. METHODS: We used a mixed-methods approach with focus groups (November-December 2021), followed by a cross-sectional survey (March-April 2022). RESULTS: The participants in this study strongly supported sharing general practice data with the clinicians responsible for their care, and where there were direct benefits for individual patients. Over 90% of survey participants (N = 2604) were willing to share their general practice information to directly support their health care, that is, for the primary purpose of collection. There was less support for sharing data for secondary purposes such as research and health service planning (36% and 45% respectively in broad agreement) or for linking general practice data to data in the education, social services and criminal justice systems (30%-36%). A substantial minority of participants were unsure or could not see how benefits would arise from sharing data for secondary purposes. Participants were concerned about the potential for privacy breaches, discrimination and data misuse and they wanted greater transparency and an opportunity to consent to data release. CONCLUSION: The findings of this study suggest that the public may be more concerned about sharing general practice data for secondary purposes than they are about sharing data collected in other settings. Sharing general practice data more broadly will require careful attention to patient and public concerns, including focusing on the factors that will sustain trust and legitimacy in general practice and GPs. PATIENT AND PUBLIC CONTRIBUTION: Members of the public were participants in the study. Data produced from their participation generated study findings. CLINICAL TRIAL REGISTRATION: Not applicable.

Reflexive control in emergency medicine.

Emergency physicians (EPs) navigate high-pressure environments, making rapid decisions amidst ambiguity. Their choices are informed by a complex interplay of experience, information, and external forces. While cognitive shortcuts (heuristics) expedite assessments, there are multiple ways they can be subtly manipulated, potentially leading to reflexive control: external actors steering EPs' decisions for their own benefit. Pharmaceutical companies, device manufacturers, and media narratives are among the numerous factors that influence the EPs' information landscape. Using tactics such as selective data dissemination, framing, and financial incentives, these actors can exploit pre-existing cognitive biases like anchoring, confirmation, and availability. This creates fertile ground for reflexive control, where EPs may believe they are acting independently while unknowingly serving the goals of external influencers. The consequences of manipulated decision making can be severe: misdiagnoses, inappropriate treatments, and increased healthcare costs. Ethical dilemmas arise when external pressures conflict with patient well-being. Recognizing these dangers empowers EPs to resist reflexive control through (1) critical thinking: examining information for potential biases and prioritizing evidence-based practices, (2) continuous education: learning about cognitive biases and mitigation strategies, and (3) institutional policies: implementing regulations to reduce external influence and to promote transparency. This vulnerability of emergency medicine decision making highlights the need for awareness, education, and robust ethical frameworks. Understanding reflexive control techniques is crucial for safeguarding patient care and promoting independent, ethical decision making in emergency medicine.

Perceptions and beliefs of community gatekeepers about genomic risk information in African cleft research.

BACKGROUND: A fundamental ethical issue in African genomics research is how socio-cultural factors impact perspectives, acceptance, and utility of genomic information, especially in stigmatizing conditions like orofacial clefts (OFCs). Previous research has shown that gatekeepers (e.g., religious, political, family or community leaders) wield considerable influence on the decision-making capabilities of their members, including health issues. Thus, their perspectives can inform the design of engagement strategies and increase exposure to the benefits of genomics testing/research. This is especially important for Africans underrepresented in genomic research. Our study aims to investigate the perspectives of gatekeepers concerning genomic risk information (GRI) in the presence of OFCs in a sub-Saharan African cohort. METHODS: Twenty-five focus group discussions (FGDs) consisting of 214 gatekeepers (religious, community, ethnic leaders, and traditional birth attendants) in Lagos, Nigeria, explored the opinions of participants on genomic risk information (GRI), OFC experience, and the possibility of involvement in collaborative decision-making in Lagos, Nigeria. Transcripts generated from audio recordings were coded and analyzed in NVivo using thematic analysis. RESULTS: Three main themes-knowledge, beliefs, and willingness to act-emerged from exploring the perspective of gatekeepers about GRI in this group. We observed mixed opinions regarding the acceptance of GRI. Many participants believed their role is to guide and support members when they receive results; this is based on the level of trust their members have in them. However, participants felt they would need to be trained by medical experts to do this. Also, religious and cultural beliefs were crucial to determining participants' understanding of OFCs and the acceptance and utilization of GRI. CONCLUSIONS: Incorporating cultural sensitivity into public engagement could help develop appropriate strategies to manage conflicting ideologies surrounding genomic information in African communities. This will allow for more widespread access to the advances in genomics research in underrepresented populations. We also recommend a synergistic relationship between community health specialists/scientists, and community leaders, including spiritual providers to better understand and utilize GRI.

What Are Humans Doing in the Loop? Co-Reasoning and Practical Judgment When Using Machine Learning-Driven Decision Aids.

Within the ethical debate on Machine Learning-driven decision support systems (ML_CDSS), notions such as "human in the loop" or "meaningful human control" are often cited as being necessary for ethical legitimacy. In addition, ethical principles usually serve as the major point of reference in ethical guidance documents, stating that conflicts between principles need to be weighed and balanced against each other. Starting from a neo-Kantian viewpoint inspired by Onora O'Neill, this article makes a concrete suggestion of how to interpret the role of the "human in the loop" and to overcome the perspective of rivaling ethical principles in the evaluation of AI in health care. We argue that patients should be perceived as "fellow workers" and epistemic partners in the interpretation of ML_CDSS outputs. We further highlight that a meaningful process of integrating (rather than weighing and balancing) ethical principles is most appropriate in the evaluation of medical AI.

Defining Death: Toward a Biological and Ethical Synthesis.

Much of the debate over the definition and criteria for determining our death has focused on disagreement over the correct biological account of death, i.e., what it means for any organism to die. In this paper, we argue that this exclusive focus on the biology of death is misguided, because it ignores ethical and social factors that bear on the acceptability of criteria for determining our death. We propose that attention shift from strictly biological considerations to ethical and social considerations that bear on the determination of what we call "civil death." We argue for acceptance of a neurological criterion for determining death on grounds that it is the most reasonable way to synthesize biological, ethical, and social considerations about our death..

Translational bioethics as a two-way street. Developing clinical ethics support instruments with and for healthcare practitioners.

This article discusses an approach to translational bioethics (TB) that is concerned with the adaptation-or 'translation'-of concepts, theories and methods from bioethics to practical contexts, in order to support 'non-bioethicists', such as researchers and healthcare practitioners, in dealing with their ethical issues themselves. Specifically, it goes into the participatory development of clinical ethics support (CES) instruments that respond to the needs and wishes of healthcare practitioners and that are tailored to the specific care contexts in which they are to be used. The theoretical underpinnings of this participatory approach to TB are found in hermeneutic ethics and pragmatism. As an example, the development of CURA, a low-threshold CES instrument for healthcare professionals in palliative care, is discussed. From this example, it becomes clear that TB is a two-way street. Practice may be improved by means of CES that is effectively tailored to specific end users and care contexts. The other way around, ethical theory may be enriched by means of the insights gained from engaging with practice in developing CES in a process of co-creation. TB is also a two-way street in the sense that it requires collaboration and commitment of both bioethicists and practitioners, who engage in a process of mutual learning. However, substantial challenges remain. For instance, is there a limit to the extent to which a method of moral reasoning can be adapted in order to meet the constraints of a given healthcare setting? Who is to decide, the bioethicist or the practitioners?

Transformative medical ethics: A framework for changing practice according to normative-ethical requirements.

We propose a step-by-step methodological framework of translational bioethics that aims at changing medical practice according to normative-ethical requirements, which we will thus call "transformative medical ethics." The framework becomes especially important when there is a gap between widely acknowledged, ethically justified normative claims and their realization in the practice of biomedicine and technology (ought-is gap). Building on prior work on translational bioethics, the framework maps a process with six different phases and 12 distinct translational steps. The steps involve various research activities including conceptual philosophical inquiry and (socio-)empirical research. On the one hand, the framework can be used as a heuristic tool to identify barriers to the transformation process. On the other hand, it can provide guidance for researchers and practitioners to develop appropriate (conceptual action and practice) models, which are then implemented and evaluated in specific practice contexts. We use the example of realizing the norm of respect for autonomy in the practice of medical decision-making to illustrate the framework. Further research is required, for example, to theoretically underpin the framework, to apply it to other ought-is gaps, and to evaluate its feasibility and effectiveness in various practice areas. Overall, the framework of transformative medical ethics suggests a strategic process to investigate and promote practice change that is ethically informed in all phases.

Transnational review on the use of information and communication technologies and technoscience in healthcare: Their impact on the autonomy and governance of individuals and communities.

The impact and use of Information and Communication Technologies (ICTs) in healthcare settings has been increasing since 2019. This is greatly due to the COVID-19 pandemic. But beyond accommodating an extraordinary and complex situation in terms of healthcare services, or beyond replacing personalised care delivered by healthcare professionals (HCPs), has there been a process of information and consultation for communities and HCPs? Do we have the basic requirements needed to make such use commonplace in health care? What will the impact be on communities and their governance? Have we arrived here by consensus or by imposition? Our purpose has been to conduct a transnational analysis by approaching communities, social actors, and healthcare professionals in three territories in a pilot study following a qualitative methodology. The aim being to discover the potential impact of such measures beyond the right to health and if such measures are compatible with the purpose of population settling in rural areas. Furthermore, to identify if this entails a conflict of value and priorities or if we need new ethical reviews both for communities and healthcare professionals.

Ethical considerations and concerns in the implementation of AI in pharmacy practice: a cross-sectional study.

BACKGROUND: Integrating artificial intelligence (AI) into healthcare has raised significant ethical concerns. In pharmacy practice, AI offers promising advances but also poses ethical challenges. METHODS: A cross-sectional study was conducted in countries from the Middle East and North Africa (MENA) region on 501 pharmacy professionals. A 12-item online questionnaire assessed ethical concerns related to the adoption of AI in pharmacy practice. Demographic factors associated with ethical concerns were analyzed via SPSS v.27 software using appropriate statistical tests. RESULTS: Participants expressed concerns about patient data privacy (58.9%), cybersecurity threats (58.9%), potential job displacement (62.9%), and lack of legal regulation (67.0%). Tech-savviness and basic AI understanding were correlated with higher concern scores (p < 0.001). Ethical implications include the need for informed consent, beneficence, justice, and transparency in the use of AI. CONCLUSION: The findings emphasize the importance of ethical guidelines, education, and patient autonomy in adopting AI. Collaboration, data privacy, and equitable access are crucial to the responsible use of AI in pharmacy practice.