Cargando…

Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare

In 2020, the U.S. Department of Defense officially disclosed a set of ethical principles to guide the use of Artificial Intelligence (AI) technologies on future battlefields. Despite stark differences, there are core similarities between the military and medical service. Warriors on battlefields oft...

Descripción completa

Detalles Bibliográficos
Autores principales:	Oniani, David, Hilsman, Jordan, Peng, Yifan, Poropatich, Ronald K., Pamplin, Jeremy C., Legault, Gary L., Wang, Yanshan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2023
Materias:	Perspective
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693640/ https://www.ncbi.nlm.nih.gov/pubmed/38042910 http://dx.doi.org/10.1038/s41746-023-00965-x

Ejemplares similares

Factors governing the adoption of artificial intelligence in healthcare providers
por: Davenport, Thomas H., et al.
Publicado: (2022)

The ethical adoption of artificial intelligence in radiology
por: Mudgal, Keshav Shree, et al.
Publicado: (2019)

The comparative ethics of artificial-intelligence methods for military applications
por: Rowe, Neil C.
Publicado: (2022)

Ethical principles for artificial intelligence in education
por: Nguyen, Andy, et al.
Publicado: (2022)

Guiding principles for the responsible development of artificial intelligence tools for healthcare
por: Badal, Kimberly, et al.
Publicado: (2023)

Artificial intelligence, diagnostic imaging and neglected tropical diseases: ethical implications
por: Vaisman, Alon, et al.
Publicado: (2020)

Artificial intelligence ethics in precision oncology: balancing advancements in technology with patient privacy and autonomy
por: Farasati Far, Bahareh
Publicado: (2023)

Ten Leadership Principles from the Military Applied to Critical Care
por: Bunin, Jessica L., et al.
Publicado: (2021)

Ethical barriers to artificial intelligence in the national health service, United Kingdom of Great Britain and Northern Ireland
por: Thompson, Claire Louise, et al.
Publicado: (2020)

Ethical Principles, Constraints, and Opportunities in Clinical Proteomics
por: Mann, Sebastian Porsdam, et al.
Publicado: (2021)

Adoption of artificial intelligence in breast imaging: evaluation, ethical constraints and limitations
por: Hickman, Sarah E., et al.
Publicado: (2021)

Act now! Critical care roles and obligations during an urban war
por: Bielka, Kateryna, et al.
Publicado: (2022)

The Ethics of Artificial Intelligence in Pathology and Laboratory Medicine: Principles and Practice
por: Jackson, Brian R., et al.
Publicado: (2021)

On scientific understanding with artificial intelligence
por: Krenn, Mario, et al.
Publicado: (2022)

Artificial intelligence powers digital medicine
por: Fogel, Alexander L., et al.
Publicado: (2018)

Neuro-symbolic approaches in artificial intelligence
por: Hitzler, Pascal, et al.
Publicado: (2022)

Artificial Intelligence and Integrated Genotype–Phenotype Identification
por: Frey, Lewis J.
Publicado: (2018)

Toward understanding the impact of artificial intelligence on labor
por: Frank, Morgan R., et al.
Publicado: (2019)

Biomedical Vibrational Spectroscopy in the Era of Artificial Intelligence
por: Mantsch, Henry Horst
Publicado: (2021)

Impact of Artificial Intelligence on Medical Education in Ophthalmology
por: Valikodath, Nita G., et al.
Publicado: (2021)

Empowering local communities using artificial intelligence
por: Hsu, Yen-Chia, et al.
Publicado: (2022)

Can artificial intelligence help for scientific writing?
por: Salvagno, Michele, et al.
Publicado: (2023)

The potential and pitfalls of artificial intelligence in clinical pharmacology
por: Johnson, Martin, et al.
Publicado: (2023)

Principles of artificial intelligence
por: Nilsson, Nils J., 1933-
Publicado: (1980)

Principles of artificial intelligence
por: Nilsson, Nils Robert
Publicado: (1982)

Psychiatric Advance Directives and Artificial Intelligence: A Conceptual Framework for Theoretical and Ethical Principles
por: Mouchabac, Stéphane, et al.
Publicado: (2021)

Guiding principles and proposed classification system for the responsible adoption of artificial intelligence in scientific writing in medicine
por: Hryciw, Brett N., et al.
Publicado: (2023)

Defining the competency of professionalism at two military medical centers
por: Edwards, Mary, et al.
Publicado: (2017)

Artificial Intelligence and Pharmacometrics: Time to Embrace, Capitalize, and Advance?
por: Chaturvedula, Ayyappa, et al.
Publicado: (2019)

Artificial intelligence for precision oncology: beyond patient stratification
por: Azuaje, Francisco
Publicado: (2019)

Pragmatic considerations for fostering reproducible research in artificial intelligence
por: Carter, Rickey E., et al.
Publicado: (2019)

Evaluating artificial intelligence in medicine: phases of clinical research
por: Park, Yoonyoung, et al.
Publicado: (2020)

Artificial Intelligence in Radiology: A Call for Thoughtful Application
por: Driver, C. Noelle, et al.
Publicado: (2019)

The role of artificial intelligence in achieving the Sustainable Development Goals
por: Vinuesa, Ricardo, et al.
Publicado: (2020)

Artificial Intelligence in Medical OSCEs: Reflections and Future Developments
por: Soong, Tse Kiat, et al.
Publicado: (2021)

Artificial intelligence in medical ultrasonography: driving on an unpaved road
por: Kim, Young H.
Publicado: (2021)

Artificial intelligence in oncology: current applications and future perspectives
por: Luchini, Claudio, et al.
Publicado: (2021)

Moving towards vertically integrated artificial intelligence development
por: Zhang, Joe, et al.
Publicado: (2022)

Smart Diagnostics: Combining Artificial Intelligence and In Vitro Diagnostics
por: McRae, Michael P., et al.
Publicado: (2022)

Promise and Provisos of Artificial Intelligence and Machine Learning in Healthcare
por: Bhardwaj, Anish
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_q2smbnnpdo72l1m26qoj4g7dl8