Ethical data acquisition for LLMs and AI algorithms in healthcare
Abstract Artificial intelligence (AI) algorithms will become increasingly integrated into our healthcare systems in the coming decades. These algorithms require large volumes of data for development and fine-tuning. Patient data is typically acquired for AI algorithms through an opt-out system in th...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-12-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-024-01399-9 |
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| _version_ | 1846100941889077248 |
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| author | Marta Williams Wasie Karim Justin Gelman Marium Raza |
| author_facet | Marta Williams Wasie Karim Justin Gelman Marium Raza |
| author_sort | Marta Williams |
| collection | DOAJ |
| description | Abstract Artificial intelligence (AI) algorithms will become increasingly integrated into our healthcare systems in the coming decades. These algorithms require large volumes of data for development and fine-tuning. Patient data is typically acquired for AI algorithms through an opt-out system in the United States, while others support an opt-in model. We argue that ethical principles around autonomy, patient ownership of data, and privacy should be prioritized in the data acquisition paradigm. |
| format | Article |
| id | doaj-art-f1965ab3795d4b6ea3ff479b1d6a1a1c |
| institution | Kabale University |
| issn | 2398-6352 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Digital Medicine |
| spelling | doaj-art-f1965ab3795d4b6ea3ff479b1d6a1a1c2024-12-29T12:48:34ZengNature Portfolionpj Digital Medicine2398-63522024-12-01711310.1038/s41746-024-01399-9Ethical data acquisition for LLMs and AI algorithms in healthcareMarta Williams0Wasie Karim1Justin Gelman2Marium Raza3Harvard Medical SchoolHarvard Medical SchoolHarvard Medical SchoolHarvard Medical SchoolAbstract Artificial intelligence (AI) algorithms will become increasingly integrated into our healthcare systems in the coming decades. These algorithms require large volumes of data for development and fine-tuning. Patient data is typically acquired for AI algorithms through an opt-out system in the United States, while others support an opt-in model. We argue that ethical principles around autonomy, patient ownership of data, and privacy should be prioritized in the data acquisition paradigm.https://doi.org/10.1038/s41746-024-01399-9 |
| spellingShingle | Marta Williams Wasie Karim Justin Gelman Marium Raza Ethical data acquisition for LLMs and AI algorithms in healthcare npj Digital Medicine |
| title | Ethical data acquisition for LLMs and AI algorithms in healthcare |
| title_full | Ethical data acquisition for LLMs and AI algorithms in healthcare |
| title_fullStr | Ethical data acquisition for LLMs and AI algorithms in healthcare |
| title_full_unstemmed | Ethical data acquisition for LLMs and AI algorithms in healthcare |
| title_short | Ethical data acquisition for LLMs and AI algorithms in healthcare |
| title_sort | ethical data acquisition for llms and ai algorithms in healthcare |
| url | https://doi.org/10.1038/s41746-024-01399-9 |
| work_keys_str_mv | AT martawilliams ethicaldataacquisitionforllmsandaialgorithmsinhealthcare AT wasiekarim ethicaldataacquisitionforllmsandaialgorithmsinhealthcare AT justingelman ethicaldataacquisitionforllmsandaialgorithmsinhealthcare AT mariumraza ethicaldataacquisitionforllmsandaialgorithmsinhealthcare |