Einstein Foundation EC Award 2025 Finalist: AI’s Impact on Scientific Cognition & Research Integrity скачать в хорошем качестве

Einstein Foundation EC Award 2025 Finalist: AI’s Impact on Scientific Cognition & Research Integrity

The Einstein Foundation Early Career Award highlights innovative project proposals by researchers at the beginning of their careers. To acknowledge the role they play in promoting research quality, they are invited to propose projects that foster research quality and value. The winning project is awarded €100,000. For the 2025 Award our jury selected five Early Career Award finalists from a pool of 72 applicants from around the globe. These finalists presented their projects live on 10 November before the final decision was made - and the international research community was invited to join. Understanding and Mitigating the Impact of AI on Scientific Cognition and Research Integrity: Laura Globig, New York University, USA Generative Artificial Intelligence (AI) is transforming how research is conducted, offering both remarkable efficiency gains and new risks. This project will systematically study and optimize scientists’ use of AI to foster rigor, reliability, and robustness. We will investigate how scientists use tools like ChatGPT and develop an AI-driven intervention to promote open science practices. By understanding real-world usage and shaping AI towards positive outcomes, we aim to ensure that AI’s growing role in research enhances rather than undermines scientific integrity.