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Privacy risks from medical AI tools are not shared equally

A News and Views article in Nature (656, 42-44, 2026) highlights that privacy risks from medical AI tools are not equally shared, citing a study by Knolle et al. in Nature 656, 192-198 (2026). The article discusses how certain groups face greater privacy vulnerabilities, referencing prior work on model inversion and membership inference attacks. It underscores the need for equitable privacy protections in medical AI.

read1 min views1 publishedAug 4, 2026
Privacy risks from medical AI tools are not shared equally
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*Nature* **656**, 42-44 (2026)

*doi: https://doi.org/10.1038/d41586-026-02288-9*

References #

Knolle, M. A.

et al.Nature 656**, 192–198 (2026).Feldman, V. & Chiyuan, Z. In

Proc. 34 Int. Conf. Neural Inf. Process. Syst.(eds Larochelle, H.et al.) 2881–2891 (Curran Associates, 2020).Tonekaboni, S., Stempfle, L., Fallahpour, A., Gerych, W. & Ghassemi, M. In

Adv. Neural Inf. Process. Syst. 39(eds Belgrave, D.et al.) 10555–10580 (2026).Geiping, J., Bauermeister, H., Dröge, H. & Moeller, M. In

Proc. 34 Int. Conf. Neural Inf. Process. Syst.(eds Larochelle, H.et al.) 16937–16947 (Curran Associates, 2020).Chen, M.

et al.InProc. 2021 ACM SIGSAC Conf. Comput. Commun. Secur. 896–911 (ACM, 2021).Shokri, R., Stronati, M., Song, C. & Shmatikov, V. In

Proc. 2017 IEEE Symp. Secur. Priv.(ed. O’Conner, L.) 3–18 (IEEE, 2017).Nissenbaum, H.

Wash.Law Rev. 79**, 119–157 (2004).Gichoya, J. W.

et al.Lancet Digit. Health 4**, E406–E414 (2022).Abadi, M. et al. In

*Proc. 2016 ACM SIGSAC Conf. Comput. Commun. Secur.*308–318 (ACM, 2016).Suriyakumar, V. M., Papernot, N., Goldenberg, A. & Ghassemi, M. In

*Proc. 2021 ACM Conf. Fairness Account. Transpar.*723–734 (ACM, 2021).

Competing Interests #

The authors declare no competing interests.

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