The Logic,Risks and Governance of Artificial Intelligence-Driven Scientific Research
Artificial intelligence based on disruptive innovation technology has a unique research-driven logic:to improve the efficiency of scientific research through catalytic drive,to promote multi-dimensional integration and interaction through collaborative drive,and to break research path dependence through algorithmic drive.The essence of triple drive logic is a formal and programmatic empower-ment.Whether science can achieve substantial innovation depends on the innovation potential of researchers,artificial intelligence,and the level of coupling and interaction between the two.While artificial intelligence endows scientific research with new prospects,it also implies multiple potential risks,such as"moral misconduct"in scientific research actions,"mechanical concealment"in research processes,"fuzzy authenticity"in formal innovation,and"no one bears academic responsibility".In order to reduce driving risks and improve driving resilience,it is necessary to regulate the development and application of artificial intelligence systems,guide research-ers to carry out responsible innovation,and promote deep collaborative interaction between scientists and artificial intelligence.
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