Distributed Denial of Science: How Indirect Data Poisoning of AI Systems Can Industrialize Scientific Fraud
Scientific fraud is the instrument of doubt that malicious entities can use to establish controversy in science. Historically, it required the resources of a company: deep pockets, ghostwritten articles, and corrupt academics. Today, Artificial Intelligence (AI) is increasingly automating scientific research, so we ask: Can a remote adversary weaponize the honest use of AI in science to compromise scientific integrity? We envision and empirically evaluate a new attack, indirect data poisoning, i
Record details
Published: 12 July 2026
Source: arXiv
Category: Research
Topics: Military & security
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (12 July 2026), “Distributed Denial of Science: How Indirect Data Poisoning of AI Systems Can Industrialize Scientific Fraud,” evidence record 33, https://ethics.ai/record/33 (originally published by arXiv).
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