This whitepaper addresses the escalating issues in upholding research integrity, particularly with the increasing use of generative AI in science, evaluates different types of integrity solutions and creates the case that a hybrid approach (that combines human judgment with AI capabilities) is best.
Vulnerable and Compromised
A Profit-Driven Menace to Research Integrity
Real-world Consequences of Compromised Science
Overburdened Editorial and Peer Review Mechanisms
Addressing Science's Current Challenges
The Hybrid AI and Human Expertise Approach
The Imperative to Combat Fake Science
Shape the future
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