Getting real about synthetic data ethics : Are AI ethics principles a good starting point for synthetic data ethics?

doi:10.1038/s44319-024-00101-0

. 2024 May;25(5):2152-2155.

doi: 10.1038/s44319-024-00101-0. Epub 2024 Feb 22.

Getting real about synthetic data ethics : Are AI ethics principles a good starting point for synthetic data ethics?

Danielle Shanley¹, Joshi Hogenboom², Flora Lysen², Leonard Wee², Aiara Lobo Gomes², Andre Dekker², Darian Meacham²

Affiliations

¹ Maastricht University, Maastricht, The Netherlands. danielle.shanley@maastrichtuniversity.nl.
² Maastricht University, Maastricht, The Netherlands.

PMID: 38388694
PMCID: PMC11094102
DOI: 10.1038/s44319-024-00101-0

Getting real about synthetic data ethics : Are AI ethics principles a good starting point for synthetic data ethics?

Danielle Shanley et al. EMBO Rep. 2024 May.

. 2024 May;25(5):2152-2155.

doi: 10.1038/s44319-024-00101-0. Epub 2024 Feb 22.

Authors

Danielle Shanley¹, Joshi Hogenboom², Flora Lysen², Leonard Wee², Aiara Lobo Gomes², Andre Dekker², Darian Meacham²

Affiliations

¹ Maastricht University, Maastricht, The Netherlands. danielle.shanley@maastrichtuniversity.nl.
² Maastricht University, Maastricht, The Netherlands.

PMID: 38388694
PMCID: PMC11094102
DOI: 10.1038/s44319-024-00101-0

Abstract

Synthetic data promises to be a viable alternative when data collection and data sharing may not be feasible or cost effective, but it raises distinct ethical issue that merit serious consideration.

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Conflict of interest statement

The authors declare no competing interests.

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References

1. Achuthan S, Chatterjee R, Kotnala S, Mohanty A, Bhattacharya S, Salgia R, Kulkarni P. Leveraging deep learning algorithms for synthetic data generation to design and analyze biological networks. J Biosci. 2022;47:43. doi: 10.1007/s12038-022-00278-3. - DOI - PubMed
1. D’Amico S, Dall’Olio D, Sala C, Dall’Olio L, Sauta E, Zampini M, Asti G, Lanino L, Maggioni G, Campagna A, et al. Synthetic data generation by artificial intelligence to accelerate research and precision medicine in hematology. JCO Clin Cancer Inform. 2023;7:e2300021. doi: 10.1200/CCI.23.00021. - DOI - PMC - PubMed
1. DeCamp M, Lindvall C. Mitigating bias in AI at the point of care. Science. 2023;381:150–152. doi: 10.1126/science.adh2713. - DOI - PMC - PubMed
1. Gebru T, Morgenstern J, Vecchione B, Vaughan J, Wortman, Wallach H, Iii HD, Crawford K. Datasheets for datasets. Commun ACM. 2021;64:86–92. doi: 10.1145/3458723. - DOI
1. Gero KI, Das P, Dognin P, Padhi I, Sattigeri P, Varshney KR. The incentive gap in data work in the era of large models. Nat Mach Intell. 2023;5:565–567. doi: 10.1038/s42256-023-00673-x. - DOI

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[1] Achuthan S, Chatterjee R, Kotnala S, Mohanty A, Bhattacharya S, Salgia R, Kulkarni P. Leveraging deep learning algorithms for synthetic data generation to design and analyze biological networks. J Biosci. 2022;47:43. doi: 10.1007/s12038-022-00278-3. - DOI - PubMed

[2] Achuthan S, Chatterjee R, Kotnala S, Mohanty A, Bhattacharya S, Salgia R, Kulkarni P. Leveraging deep learning algorithms for synthetic data generation to design and analyze biological networks. J Biosci. 2022;47:43. doi: 10.1007/s12038-022-00278-3. - DOI - PubMed

[3] D’Amico S, Dall’Olio D, Sala C, Dall’Olio L, Sauta E, Zampini M, Asti G, Lanino L, Maggioni G, Campagna A, et al. Synthetic data generation by artificial intelligence to accelerate research and precision medicine in hematology. JCO Clin Cancer Inform. 2023;7:e2300021. doi: 10.1200/CCI.23.00021. - DOI - PMC - PubMed

[4] D’Amico S, Dall’Olio D, Sala C, Dall’Olio L, Sauta E, Zampini M, Asti G, Lanino L, Maggioni G, Campagna A, et al. Synthetic data generation by artificial intelligence to accelerate research and precision medicine in hematology. JCO Clin Cancer Inform. 2023;7:e2300021. doi: 10.1200/CCI.23.00021. - DOI - PMC - PubMed

[5] DeCamp M, Lindvall C. Mitigating bias in AI at the point of care. Science. 2023;381:150–152. doi: 10.1126/science.adh2713. - DOI - PMC - PubMed

[6] DeCamp M, Lindvall C. Mitigating bias in AI at the point of care. Science. 2023;381:150–152. doi: 10.1126/science.adh2713. - DOI - PMC - PubMed

[7] Gebru T, Morgenstern J, Vecchione B, Vaughan J, Wortman, Wallach H, Iii HD, Crawford K. Datasheets for datasets. Commun ACM. 2021;64:86–92. doi: 10.1145/3458723. - DOI

[8] Gebru T, Morgenstern J, Vecchione B, Vaughan J, Wortman, Wallach H, Iii HD, Crawford K. Datasheets for datasets. Commun ACM. 2021;64:86–92. doi: 10.1145/3458723. - DOI

[9] Gero KI, Das P, Dognin P, Padhi I, Sattigeri P, Varshney KR. The incentive gap in data work in the era of large models. Nat Mach Intell. 2023;5:565–567. doi: 10.1038/s42256-023-00673-x. - DOI

[10] Gero KI, Das P, Dognin P, Padhi I, Sattigeri P, Varshney KR. The incentive gap in data work in the era of large models. Nat Mach Intell. 2023;5:565–567. doi: 10.1038/s42256-023-00673-x. - DOI

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Getting real about synthetic data ethics : Are AI ethics principles a good starting point for synthetic data ethics?

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Getting real about synthetic data ethics : Are AI ethics principles a good starting point for synthetic data ethics?

Authors

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Abstract

Conflict of interest statement

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