Would Archimedes Shout “Eureka” with Algorithms? The Hidden Hand of Algorithmic Design in Idea Generation, the Creation of Ideation Bubbles, and How Experts Can Burst Them
研究了算法设计如何影响创意生成，发现基于信息利用的算法与专家所需的重组创新不匹配，而基于探索的算法能帮助专家克服确认偏差、产生更多创意，并戳破“创意泡沫”以提升创意多样性。
Does “eureka” still ring true in the algorithmic age? This paper investigates algorithmic design and its impact on idea generation. The use of algorithms transforms knowledge work processes, redefining experts’ roles across industries. While experts are typically viewed as the cornerstone of knowledge work, an emerging debate is underway about whether expertise is still necessary in the idea generation process for creativity and innovation. Integrating creativity, expertise in knowledge work, and algorithmic design literatures, we theorize on the interplay between expertise and algorithmic design in idea generation. We suggest that the prevailing algorithmic design, focusing on information exploitation, is misaligned with the recombinant innovation processes needed for idea generation, especially for experts. We design an exploration-based modification to the prevalent exploitation-based algorithm—Google Search. We hypothesize that when using exploration-based algorithms, experts can overcome confirmation bias and generate more creative ideas through recombinant innovation. Moving beyond the individual level, experts are central to bursting “ideation bubbles”—clusters of similar ideas—thus enhancing idea diversity. We test our theory in a laboratory study and a field experiment through a global ideation challenge in sustainability launched on Freelancer. Findings offer insights into designing and using algorithms to augment human expertise for innovation.