Most digital tools are designed for efficiency, not exploration ' and that can stymie innovation. New research shows that standard algorithms channel team members toward popular, familiar information, leading them to independently converge on the same ideas. But the researchers uncovered a surprisingly simple fix: By using algorithms designed to surface diverse, uncommon information, domain experts can avoid 'ideation bubbles' and generate ideas across entirely new solution spaces. Algorithmic tools promise to democratize access to knowledge and thus spark creativity and innovation, but research we conducted revealed a hidden risk: Those tools may be silently narrowing organizations' creative potential by suppressing the value of expertise. The fault lies not with the experts but with the hidden architecture of the tools they use. The invisible design choices embedded in algorithmic tools fundamentally shape creative output. Standard algorithms behind search, discovery,...
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