A recent blog post likened the development of artificial intelligence (AI) to the pre-pandemic era, highlighting how AI agents are poised to transform social sciences. In just a month, researchers effectively utilized AI coding agents to create a functional R package, summarize complex geopolitical business decisions, and build an analytical framework for diverse political prompts. Despite the advantages, reliance on AI raises concerns about potential decreases in technical skills, quality control, and security risks, such as accidental data deletion. Moreover, the use of AI may accelerate research productivity, impacting peer-review processes and necessitating new evaluation metrics for academic merit. As AI becomes integral to research tasks, institutions must reconsider hiring practices, training opportunities, and IT policies related to AI usage. Future regulations can help mitigate discrepancies in access and ensure ethical applications of AI in social science research, emphasizing the need for careful policy formulation.
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