Het effect van AI op wetenschap | Gebiologeerd

Bronnen Arendt, H. (2018). The Origins of Totalitarianism. In Princeton University Press eBooks (pp. 544–557). https://doi.org/10.2307/j.ctv19fvzzk.50 Biever, C. (2023). ChatGPT broke the Turing test — the race is on for new ways to assess AI. Nature, 619(7971), 686–689. https://doi.org/10.1038/d41586-023-02361-7 Digitale Overheid. (2026a, april 14). AI-verordening AI (Artificiële intelligentie) - digitale overheid. https://www.digitaleoverheid.nl/overzicht-... Digitale Overheid. (2026b, mei 28). Wat je moet weten over AI-geletterdheid. https://www.digitaleoverheid.nl/achtergron... Elkhatat, A. M., Elsaid, K., & Almeer, S. (2023). Evaluating the efficacy of AI content detection tools in differentiating between human and AI-generated text. International Journal For Educational Integrity, 19(1). https://doi.org/10.1007/s40979-023-00140-5 Fiedler, A., & Döpke, J. (2025). Do humans identify AI-generated text better than machines? Evidence based on excerpts from German theses. International Review Of Economics Education, 49, 100321. https://doi.org/10.1016/j.iree.2025.100321 Fleckenstein, J., Meyer, J., Jansen, T., Keller, S. D., Köller, O., & Möller, J. (2024). Do teachers spot AI? Evaluating the detectability of AI-generated texts among student essays. Computers And Education Artificial Intelligence, 6, 100209. https://doi.org/10.1016/j.caeai.2024.100209 Hendrix, J. (2024, 11 juni). AI and Epistemic Risk: A Coming Crisis? Tech Policy Press. https://www.techpolicy.press/ai-and-episte... Henestrosa, A. L., & Kimmerle, J. (2025). “Always check important information!” - The role of disclaimers in the perception of AI-generated content. Computers in Human Behavior Artificial Humans, 4, 100142. https://doi.org/10.1016/j.chbah.2025.100142 Kalai, A. T., Nachum, O., Vempala, S. S., & Zhang, E. (2025). Layer-0 Suppressors Ground Hallucination Inevitability: A Mechanistic Account of How Transformers Trade Factuality for Hedging. ArXiv.org. https://doi.org/10.48550/arxiv.2509.04664 Kardong-Edgren, S. (2025). Epistemic instability and the mirage of consistency in generative AI research. Clinical Simulation in Nursing, 110, 101870. https://doi.org/10.1016/j.ecns.2025.101870 Linardatos, P., Papastefanopoulos, V., & Kotsiantis, S. (2020). Explainable AI: A Review of Machine Learning Interpretability Methods. Entropy, 23(1), 18. https://doi.org/10.3390/e23010018 NOS Nieuws. (2026, 8 januari). Rector universiteit Gent gebruikte door AI gegenereerd nep-citaat van Einstein. NOS. https://nos.nl/artikel/2597395-rector-univ... Roca, T., Roman, A. C., Vega, J. T., Duarte, M., Wang, P., White, K., Misra, A., & Ferres, J. L. (2025). How good are humans at detecting AI-generated images? Learnings from an experiment. ArXiv.org. https://doi.org/10.48550/arxiv.2507.18640 Sardinha, T. B. (2023). AI-generated vs human-authored texts: A multidimensional comparison. Applied Corpus Linguistics, 4(1), 100083. https://doi.org/10.1016/j.acorp.2023.100083 Shumailov, I., Shumaylov, Z., Zhao, Y., Papernot, N., Anderson, R., & Gal, Y. (2024). AI models collapse when trained on recursively generated data. Nature, 631(8022), 755–759. https://doi.org/10.1038/s41586-024-07566-y Wihbey, J. (2024). AI and Epistemic Risk for Democracy: A Coming Crisis of Public Knowledge? SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4805026

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