The Ethical and Societal Considerations for the Rise of Artificial Intelligence and Big Data in Ophthalmology
Medical specialties with access to a large amount of imaging data, such as ophthalmology, have been at the forefront of the artificial intelligence (AI) revolution in medicine, driven by deep learning (DL) and big data. With the rise of AI and big data, there has also been increasing concern on the...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-06-01
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| Series: | Frontiers in Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2022.845522/full |
| _version_ | 1811237712037937152 |
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| author | T. Y. Alvin Liu Jo-Hsuan Wu |
| author_facet | T. Y. Alvin Liu Jo-Hsuan Wu |
| author_sort | T. Y. Alvin Liu |
| collection | DOAJ |
| description | Medical specialties with access to a large amount of imaging data, such as ophthalmology, have been at the forefront of the artificial intelligence (AI) revolution in medicine, driven by deep learning (DL) and big data. With the rise of AI and big data, there has also been increasing concern on the issues of bias and privacy, which can be partially addressed by low-shot learning, generative DL, federated learning and a “model-to-data” approach, as demonstrated by various groups of investigators in ophthalmology. However, to adequately tackle the ethical and societal challenges associated with the rise of AI in ophthalmology, a more comprehensive approach is preferable. Specifically, AI should be viewed as sociotechnical, meaning this technology shapes, and is shaped by social phenomena. |
| first_indexed | 2024-04-12T12:29:06Z |
| format | Article |
| id | doaj.art-cd610a02503349f3ab67387e6a77f790 |
| institution | Directory Open Access Journal |
| issn | 2296-858X |
| language | English |
| last_indexed | 2024-04-12T12:29:06Z |
| publishDate | 2022-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj.art-cd610a02503349f3ab67387e6a77f7902022-12-22T03:33:05ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2022-06-01910.3389/fmed.2022.845522845522The Ethical and Societal Considerations for the Rise of Artificial Intelligence and Big Data in OphthalmologyT. Y. Alvin Liu0Jo-Hsuan Wu1Wilmer Eye Institute, Johns Hopkins University, Baltimore, MD, United StatesShiley Eye Institute and Viterbi Family Department of Ophthalmology, University of California, San Diego, La Jolla, CA, United StatesMedical specialties with access to a large amount of imaging data, such as ophthalmology, have been at the forefront of the artificial intelligence (AI) revolution in medicine, driven by deep learning (DL) and big data. With the rise of AI and big data, there has also been increasing concern on the issues of bias and privacy, which can be partially addressed by low-shot learning, generative DL, federated learning and a “model-to-data” approach, as demonstrated by various groups of investigators in ophthalmology. However, to adequately tackle the ethical and societal challenges associated with the rise of AI in ophthalmology, a more comprehensive approach is preferable. Specifically, AI should be viewed as sociotechnical, meaning this technology shapes, and is shaped by social phenomena.https://www.frontiersin.org/articles/10.3389/fmed.2022.845522/fullethicsbiasartificial intelligencefairnessprivacy |
| spellingShingle | T. Y. Alvin Liu Jo-Hsuan Wu The Ethical and Societal Considerations for the Rise of Artificial Intelligence and Big Data in Ophthalmology Frontiers in Medicine ethics bias artificial intelligence fairness privacy |
| title | The Ethical and Societal Considerations for the Rise of Artificial Intelligence and Big Data in Ophthalmology |
| title_full | The Ethical and Societal Considerations for the Rise of Artificial Intelligence and Big Data in Ophthalmology |
| title_fullStr | The Ethical and Societal Considerations for the Rise of Artificial Intelligence and Big Data in Ophthalmology |
| title_full_unstemmed | The Ethical and Societal Considerations for the Rise of Artificial Intelligence and Big Data in Ophthalmology |
| title_short | The Ethical and Societal Considerations for the Rise of Artificial Intelligence and Big Data in Ophthalmology |
| title_sort | ethical and societal considerations for the rise of artificial intelligence and big data in ophthalmology |
| topic | ethics bias artificial intelligence fairness privacy |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2022.845522/full |
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