The integration of artificial intelligence (AI) into healthcare and research introduces sophisticated diagnostic and treatment capabilities but also raises significant ethical challenges from development to deployment and evaluation, requiring comprehensive ethical training and interdisciplinary collaboration to ensure the responsible use of AI technologies. The “CONNECT with AI”- Collaborative Opportunity to Navigate and Negotiate Ethical Challenges and Trials with Artificial Intelligence) workshop was a three-day event, engaging multi-institutional interdisciplinary and interprofessional participants (both industry professionals and academicians) from diverse fields such as (...) Medicine, Dentistry, Nursing, Engineering, Law, and Allied Health Sciences from India. There was equal distribution of participants from diverse fields. A mixed-method approach utilizing pre- and post-workshop assessments, confidence level surveys and thematic analyses of small group discussions and open-ended questions to evaluate the impact of the workshop on participants’ ethical understanding and decision-making skills regarding AI. Post-workshop evaluations indicated a significant improvement in both theoretical knowledge and practical application of AI ethics, with assessment scores rising markedly from pre-workshop levels (p < 0.0001). Confidence in handling ethical dilemmas related to AI saw substantial increases across all domains, particularly in ensuring patient privacy and data security (p < 0.0001). Qualitative feedback highlighted diverse perceptions and sector-specific concerns about AI, emphasizing the importance of customized ethical guidelines and the integration of AI into healthcare practices. The workshop effectively enhanced participants’ competence and confidence in addressing AI-related ethical issues, demonstrating the critical role of interprofessional education in fostering an ethical AI implementation framework. Continuous, interdisciplinary and interprofessional training is essential to navigate the evolving ethical landscape of AI in healthcare, ensuring safe, effective, and responsible technology use. (shrink)

The integration of artificial intelligence into bioethics education represents a new pedagogical approach that addresses complex moral issues in healthcare. The use of AI-driven platforms like ChatGPT in bioethics education can enhance critical thinking and decision-making skills among students by providing a diverse range of perspectives and solutions. To assess the ability of ChatGPT-4 to understand and resolve ethical dilemmas using validated clinical case vignettes, thereby determining its suitability as a teaching aid in bioethics. Ten clinical scenarios, each with inherent (...) ethical issues, were presented to ChatGPT-4. These scenarios were expert-validated to ensure relevance and complexity. ChatGPT's responses were evaluated by two blinded external raters to eliminate bias. The assessment criteria included identification of bioethical principles, recognition of stakeholders and their outcomes, and comprehension of ethical and legal frameworks. Additionally, the quality of responses was scored on a scale of 1–10. ChatGPT showed proficiency in identifying the pertinent bioethical principles and stakeholders involved in the ethical dilemmas presented. It achieved an overall score of 84.5%, with high marks for its analytical capabilities in complex scenarios. However, the study identified areas for improvement, particularly in proposing comprehensive solutions and alternative actions. ChatGPT demonstrates potential as an effective tool for bioethics education, capable of guiding learners through the resolution of ethical issues in clinical practice. However, to fully integrate ChatGPT into bioethics education, it requires enhancements in delivering detailed, actionable guidance in ethical decision-making. Future development should focus on refining ChatGPT’s ability to offer nuanced solutions aligned with patient values and clinician needs. (shrink)

Entrustable Professional Activities (EPAs) are widely utilized in competency-based medical education (CBME) to assess clinical readiness, yet their application in bioethics remains less explored. This study introduces Entrustable Professional Ethical Actions (EPEAs) to address the ethical complexities faced by medical professionals transitioning to residency or postgraduate training. A structured framework for EPEAs was developed through a systematic review of bioethics literature and the UNESCO Universal Declaration on Bioethics and Human Rights. Competencies were categorized under seven domains, including ethical decision-making, patient-centered (...) communication, and sustainability. Using these competencies, ten core EPEAs were formulated with measurable milestones for entrustment. Validation involved an international panel of 35 experts, who evaluated the EPEAs through a 47-item online questionnaire. Consensus was defined as ≥ 80% agreement on relevance, clarity, and feasibility, with iterative revisions informed by expert feedback. Validation demonstrated high global consensus, with 86.49% of experts rating the EPEAs as highly relevant, 82.86% agreeing on milestone differentiation, and 81.76% endorsing measurability. Content validity indices (S-CVI/AVE: 0.80, I-CVI: 0.85, S-CVI/UA: 0.92) and reliability (ICC: 0.87) confirmed the robustness of the framework. The final set includes ten EPEAs covering critical domains such as informed consent, privacy, confidentiality, shared decision making, equity, sustainability etc. The EPEAs represent a pioneering framework for integrating bioethical decision-making into medical education. By aligning with global ethical principles, these actions equip trainees to navigate complex moral dilemmas in clinical practice while fostering trust among educators, peers, and patients. (shrink)