Clear Skies – Your partner in research integrity
Guest Post — Research Needs a Shared Standard for AI Disclosure - The Scholarly Kitchen
Today's guest post presents outcomes of the WCRI's (World Conferences on Research Integrity) Focus Track to address this gap in clarity and standardization of AI disclosure.
Science Integrity Digest
A blog about science integrity, by Elisabeth Bik, for Harbers-Bik LLC. Support my work at Patreon.com/elisabethbik
WCRI2026
Indigenous ways of being, Artificial Intelligence, and Research Security: shaping the future of research integrity
Research Integrity and Peer Review
Research Integrity and Peer Review is an open access journal led by a renowned Editorial Board and occupying a unique niche in the field as the only journal ...
Introducing COSIG: The Collection of Open Science Integrity Guides
Investigating the integrity of published scientific papers is key to the scientific process, but the necessary knowledge is in short supply. We present COSIG, an open collection of meta-scientific guides enabling anyone to perform forensic peer review.
RI2
A global framework that identifies hidden risks in university research systems, reveals integrity vulnerabilities overlooked by traditional rankings, and enables better institutional and policy decisions.
Research Integrity Report Tracker
Research Integrity Report Tracker saves time and money by streamlining publishing ethics and integrity reporting, investigation, and editorial action.
Trust Conference - Thomson Reuters Foundation
Trust Conference is a global forum dedicated to tackling critical issues at the intersection of media, law and business. Apply for your free ticket today.
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, in which an adversary corrupts an open dataset and uploads the poisoned variant to a public repository. Autonomous research agents may independently retrieve and process this data, turning honest scientists into the unpaid and unwitting distributors of fraud at scale. Across five socially-salient topics, from hiring discrimination to the safety of autonomous vehicles, three widely used frontier AI systems (Claude Code with Claude Opus 4.7, Codex with GPT-5.5, Gemini CLI with Gemini 3.1 Pro), and 450 ethically contained experimental runs, we find that poisoning succeeds in 49.56% of runs, while the rate of poisoning detection is only 6.0%. The attack requires no topic-specific trigger-words, agent access, indirect prompt injection, or fabricated papers, only the open data ecosystem and misleading metadata. To mitigate the attacks, we propose and evaluate two measures: a scientist persona and a data provenance audit with five checks (referencing papers, social markers, statistical anomalies, related datasets, poisoning caution). We find that the persona still leaves 16.67% of runs with a poisoned conclusion, but provenance auditing reduces attack success rate to zero. Our results suggest that indirect data poisoning may enable scientific fraud at unprecedented scale, but these attacks can be mitigated with suitable auditing by agents during data retrieval.
Scientific sleuths come in from the cold
Research integrity investigators are starting to organize, but the field, and the people, remain idiosyncratic
The Journal of Scientific Integrity
by Laura Luebbert and Lior Pachter Background (by LL) Four years ago, during the first year of my PhD at Caltech, I participated in a journal club organized by the lab I was rotating in. I was assi…
Patch the Planet: global response coordination as agents uncover critical vulnerabilities
Patch the Planet connects security researchers, maintainers, and incident responders to help address critical vulnerabilities across open source.
Transparency Report Update: January – June 2025
The Automattic Trust and Safety team’s vision is to maintain safety while democratizing publishing. Earlier this year, we established five pillars that underpin our intent: user rights, safety by d…
Science One Framework: A verifiable autonomous research framework via Chain-of-Evidence
Rui Meng, Research Scientist, and Tomas Pfister, Director, Google Cloud
