The increasing speed at which artificial intelligence (AI) is developing poses risks to data, identity, and reputation verification, as well as the prevalence of misinformation. AI-generated texts, including scientific papers, can appear authoritative and pass peer review, even if they contain fabricated data. This is fueled by the incentive system in academia that rewards quantity over quality. The erosion of trust in the foundations of knowledge and the decline in the quality and accuracy of scientific research could have lasting impacts on various fields. AI should be used as a complement to human-created content rather than a replacement. To establish a truth-based economy, there is a need for information and data authenticity, integrity, transparency, and traceability. Improving academic identity standards and implementing privacy-preserving identity verification technology can help establish a truth-based economy. A complete on-chain scientific economy, secured on blockchain with identity claims, could provide a frame of reference for verifiable scientific knowledge. The curation of quality research and sound data will be crucial for society's continued progress and the avoidance of a breakdown of trust in expert research fields.



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