JMIRx Medxmed34JMIRx MedJMIRx Med2563-6316JMIR PublicationsToronto, Canadav6i1e7252510.2196/72525Peer-Review ReportPeer Review of “Data Obfuscation Through Latent Space Projection for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection”BommhardtTrutzUniversity of WuppertalWuppertalGermanyHangChing Nam202512320256e725251102202511022025© Trutz Bommhardt. Originally published in JMIRx Med (https://med.jmirx.org), 12.3.2025. 2025

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https://arxiv.org/abs/2410.17459v1https://med.jmirx.org/2025/1/e72527https://med.jmirx.org/2025/1/e70100privacy-preserving AIlatent space projectiondata obfuscationAI Governancemachine learning privacydifferential privacyk-anonymityHIPAAGDPRcompliancedata utilityprivacy-utility trade-offresponsible AImedical imaging privacysecure data sharingLSPartificial intelligence

This is a peer-review report for “Data Obfuscation Through Latent Space Projection for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection.”

Round 1 ReviewGeneral Comments

I thoroughly enjoyed reading this paper [1] as it is a well-written article that will make an important contribution to the literature on the development of privacy-preserving artificial intelligence (AI) governance. I have attached a few comments to improve the study.

Specific CommentsMajor Comments

Something like a discussion that embeds the latent space projection for AI governance and the results in the current scientific debate is missing before or after Chapter VII.

Minor Comments

In Chapter II B (Existing privacy-preserving techniques), please provide some further sources to demonstrate that the challenges mentioned are still relevant, as some sources are relatively old (eg, from 2009).

None declared.

AbbreviationsAI

artificial intelligence

ReferencesVaijainthymala KrishnamoorthyM Data Obfuscation Through Latent Space Projection for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud DetectionJMIRx Med20256e7010010.2196/70100