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The AI Slop Tsunami

The AI Slop Tsunami

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Do you think AI will have an impact on science? You are wrong. It will not–it already does. The annual International Conference on Information Systems received over 1,000 more paper submissions this year. Our main journals report a 20%, 40%, or even 100% increase in submission numbers. This could be great if these papers were good, if we simply saw more and better research being produced. Problem is: We don't. What we see is an AI slop tsunami of less readable papers, hastily produced, with marginal insights if any. How should we handle this situation? We discuss a few possible levers on the supply and demand side of research that we as a field could implement.

References

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Liang, W., Zhang, Y., Cao, H., Wang, B., Ding, D. Y., Yang, X., Vodrahalli, K., He, S., Smith, D. S., Yin, Y., McFarland, D. A., & Zou, J. (2024). Can Large Language Models Provide Useful Feedback on Research Papers? A Large-Scale Empirical Analysis. NEJM AI, 1(8). https://doi.org/10.1056/AIoa240019

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