Automated Scientific Fraud Detection
Develop AI and multimodal LLM systems to automatically detect fraudulent research, flag suspicious publications, and improve overall scientific integrity.
Especially as rapid advancements in AI models make it feasible to generate inaccurate scientific content at scale to disrupt.
Resources (11)
An Eye for Evidence: Catching 4,000 Scientific Frauds, by Dr. Elisabeth Bik
Whitepapers and Essays
Meet the ‘data thugs' out to expose shoddy and questionable research
Whitepapers and Essays
The fog of war in science is about to lift by Konrad Kording
Whitepapers and Essays
Imagetiwn
Company
Proofig AI
Company
DARPA Program: SciFy - Scientific Feasibility
Funding Program
Duncan Webb
Individual