[目的/意義]挖掘傳統情報研究對創新認定僅強調創意性和"技術性",而對研究活動中潛在危害和負向效應甚少關注的缺陷,明確情報研究的責任風險及其化解方法。[方法/過程]分析面向大數據的情報研究過程中,在學科支撐、倫理規范和社會成本等方面所存在的責任擔當弱化的風險。[結果/結論]在責任式創新機制指導下,構建以預測、包容、響應和自省為基礎要素、以責任鏈和協同治理為主要機制的理論框架,實現對情報研究責任風險的控制。

[Purpose/significance] In terms of the defects that traditional intelligence studies only consider creativity and technicality as the decisive factors for innovation and neglect the potential damage and negative influence, this paper tries to specify the responsibility risk and its solution in intelligence studies. [Method/process] The paper analyzes responsibility risks such as subject support, ethics and social costs in the big data research environment. [Result/conclusion] Under the responsible innovation framework, the paper builds the theoretical framework composed of some basic elements of prediction, reflexivity, inclusion and responsiveness and two mechanisms including responsibility chain and collaborative governance in order to achieve the responsibility risk control in intelligence studies.