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Convergence of Diverse Expertise: A Multidisciplinary Training on the Ethics of Artificial Intelligence in Healthcare Technology and Research

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Title: Convergence of Diverse Expertise: A Multidisciplinary Training on the Ethics of Artificial Intelligence in Healthcare Technology and Research
Language: English
Authors: Russell Franco D'Souza, Krishna Mohan Surapaneni (ORCID 0000-0002-5204-5708), Sathyanarayanan P., Annamalai Regupathy, Mary Mathew, Vedprakash Mishra, Ani Grace Kalaimathi, Geethalakshmi Sekkizhar, Rajiv Tandon, Princy Louis Palatty, Vivek Mady
Source: Journal of Academic Ethics. 2025 23(3):885-899.
Availability: BioMed Central, Ltd. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://www.springer.com/gp/biomedical-sciences
Peer Reviewed: Y
Page Count: 15
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Descriptors: Artificial Intelligence, Health Services, Medical Services, Ethics, Computer Use, Professional Development, Workshops, Health Personnel, Program Effectiveness, Knowledge Level, Self Efficacy, Competence
DOI: 10.1007/s10805-024-09593-w
ISSN: 1570-1727
1572-8544
Abstract: 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.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1485742
Database: ERIC
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  Data: Convergence of Diverse Expertise: A Multidisciplinary Training on the Ethics of Artificial Intelligence in Healthcare Technology and Research
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  Data: BioMed Central, Ltd. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://www.springer.com/gp/biomedical-sciences
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  Data: 10.1007/s10805-024-09593-w
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  Data: 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 &quot;CONNECT with AI&quot;- 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&#39; 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 &lt; 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 &lt; 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&#39; 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.
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