Fostering Organizational Collective Intelligence From Human-Generative AI Interaction

Recent advancements in generative artificial intelligence have enabled its use for problem-solving across various fields. However, its effectiveness heavily depends on users' prompting ability, often limiting its potential. Additionally, valuable dialogue logs are frequently left unused. This study proposes a service that scores dialogue logs with generative artificial intelligence, accumulating and sharing them as contextualized problem-solving cases. The service was deployed within an organization for evaluation. Results revealed that the proposed service contributes to operational efficiency and promotes knowledge sharing. In a one-year experiment, 24 members accumulated 90 cases, and survey results indicated high satisfaction with the problem-solving support provided.