Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement
Abstract This is a condensed summary of an international multisociety statement on ethics of artificial intelligence (AI) in radiology produced by the ACR, European Society of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of Medical Imaging Informatics...
| Main Authors: | , , , , , , , , , , , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Berlin Heidelberg
2021
|
| Online Access: | https://hdl.handle.net/1721.1/131724 |
| _version_ | 1826197347377348608 |
|---|---|
| author | Geis, J. R Brady, Adrian Wu, Carol C Spencer, Jack Ranschaert, Erik Jaremko, Jacob L Langer, Steve G Kitts, Andrea B Birch, Judy Shields, William F van den Hoven van Genderen, Robert Kotter, Elmar Gichoya, Judy W Cook, Tessa S Morgan, Matthew B |
| author2 | Massachusetts Institute of Technology. Department of Linguistics and Philosophy |
| author_facet | Massachusetts Institute of Technology. Department of Linguistics and Philosophy Geis, J. R Brady, Adrian Wu, Carol C Spencer, Jack Ranschaert, Erik Jaremko, Jacob L Langer, Steve G Kitts, Andrea B Birch, Judy Shields, William F van den Hoven van Genderen, Robert Kotter, Elmar Gichoya, Judy W Cook, Tessa S Morgan, Matthew B |
| author_sort | Geis, J. R |
| collection | MIT |
| description | Abstract
This is a condensed summary of an international multisociety statement on ethics of artificial intelligence (AI) in radiology produced by the ACR, European Society of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of Medical Imaging Informatics, Canadian Association of Radiologists, and American Association of Physicists in Medicine.
AI has great potential to increase efficiency and accuracy throughout radiology, but also carries inherent pitfalls and biases. Widespread use of AI-based intelligent and autonomous systems in radiology can increase the risk of systemic errors with high consequence, and highlights complex ethical and societal issues. Currently, there is little experience using AI for patient care in diverse clinical settings. Extensive research is needed to understand how to best deploy AI in clinical practice.
This statement highlights our consensus that ethical use of AI in radiology should promote well-being, minimize harm, and ensure that the benefits and harms are distributed among stakeholders in a just manner. We believe AI should respect human rights and freedoms, including dignity and privacy. It should be designed for maximum transparency and dependability. Ultimate responsibility and accountability for AI remains with its human designers and operators for the foreseeable future.
The radiology community should start now to develop codes of ethics and practice for AI which promote any use that helps patients and the common good and should block use of radiology data and algorithms for financial gain without those two attributes. |
| first_indexed | 2024-09-23T10:46:18Z |
| format | Article |
| id | mit-1721.1/131724 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T10:46:18Z |
| publishDate | 2021 |
| publisher | Springer Berlin Heidelberg |
| record_format | dspace |
| spelling | mit-1721.1/1317242023-03-01T15:36:21Z Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement Geis, J. R Brady, Adrian Wu, Carol C Spencer, Jack Ranschaert, Erik Jaremko, Jacob L Langer, Steve G Kitts, Andrea B Birch, Judy Shields, William F van den Hoven van Genderen, Robert Kotter, Elmar Gichoya, Judy W Cook, Tessa S Morgan, Matthew B Massachusetts Institute of Technology. Department of Linguistics and Philosophy Abstract This is a condensed summary of an international multisociety statement on ethics of artificial intelligence (AI) in radiology produced by the ACR, European Society of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of Medical Imaging Informatics, Canadian Association of Radiologists, and American Association of Physicists in Medicine. AI has great potential to increase efficiency and accuracy throughout radiology, but also carries inherent pitfalls and biases. Widespread use of AI-based intelligent and autonomous systems in radiology can increase the risk of systemic errors with high consequence, and highlights complex ethical and societal issues. Currently, there is little experience using AI for patient care in diverse clinical settings. Extensive research is needed to understand how to best deploy AI in clinical practice. This statement highlights our consensus that ethical use of AI in radiology should promote well-being, minimize harm, and ensure that the benefits and harms are distributed among stakeholders in a just manner. We believe AI should respect human rights and freedoms, including dignity and privacy. It should be designed for maximum transparency and dependability. Ultimate responsibility and accountability for AI remains with its human designers and operators for the foreseeable future. The radiology community should start now to develop codes of ethics and practice for AI which promote any use that helps patients and the common good and should block use of radiology data and algorithms for financial gain without those two attributes. 2021-09-20T17:29:58Z 2021-09-20T17:29:58Z 2019-10-01 2020-06-26T13:27:48Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/131724 Insights into Imaging. 2019 Oct 01;10(1):101 PUBLISHER_CC en https://doi.org/10.1186/s13244-019-0785-8 Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ The Author(s). application/pdf Springer Berlin Heidelberg Springer Berlin Heidelberg |
| spellingShingle | Geis, J. R Brady, Adrian Wu, Carol C Spencer, Jack Ranschaert, Erik Jaremko, Jacob L Langer, Steve G Kitts, Andrea B Birch, Judy Shields, William F van den Hoven van Genderen, Robert Kotter, Elmar Gichoya, Judy W Cook, Tessa S Morgan, Matthew B Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement |
| title | Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement |
| title_full | Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement |
| title_fullStr | Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement |
| title_full_unstemmed | Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement |
| title_short | Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement |
| title_sort | ethics of artificial intelligence in radiology summary of the joint european and north american multisociety statement |
| url | https://hdl.handle.net/1721.1/131724 |
| work_keys_str_mv | AT geisjr ethicsofartificialintelligenceinradiologysummaryofthejointeuropeanandnorthamericanmultisocietystatement AT bradyadrian ethicsofartificialintelligenceinradiologysummaryofthejointeuropeanandnorthamericanmultisocietystatement AT wucarolc ethicsofartificialintelligenceinradiologysummaryofthejointeuropeanandnorthamericanmultisocietystatement AT spencerjack ethicsofartificialintelligenceinradiologysummaryofthejointeuropeanandnorthamericanmultisocietystatement AT ranschaerterik ethicsofartificialintelligenceinradiologysummaryofthejointeuropeanandnorthamericanmultisocietystatement AT jaremkojacobl ethicsofartificialintelligenceinradiologysummaryofthejointeuropeanandnorthamericanmultisocietystatement AT langersteveg ethicsofartificialintelligenceinradiologysummaryofthejointeuropeanandnorthamericanmultisocietystatement AT kittsandreab ethicsofartificialintelligenceinradiologysummaryofthejointeuropeanandnorthamericanmultisocietystatement AT birchjudy ethicsofartificialintelligenceinradiologysummaryofthejointeuropeanandnorthamericanmultisocietystatement AT shieldswilliamf ethicsofartificialintelligenceinradiologysummaryofthejointeuropeanandnorthamericanmultisocietystatement AT vandenhovenvangenderenrobert ethicsofartificialintelligenceinradiologysummaryofthejointeuropeanandnorthamericanmultisocietystatement AT kotterelmar ethicsofartificialintelligenceinradiologysummaryofthejointeuropeanandnorthamericanmultisocietystatement AT gichoyajudyw ethicsofartificialintelligenceinradiologysummaryofthejointeuropeanandnorthamericanmultisocietystatement AT cooktessas ethicsofartificialintelligenceinradiologysummaryofthejointeuropeanandnorthamericanmultisocietystatement AT morganmatthewb ethicsofartificialintelligenceinradiologysummaryofthejointeuropeanandnorthamericanmultisocietystatement |