3 citations · 7 across the 7 of their papers we have counts for
7 papers
Exploring Public Opinion on Responsible AI Through The Lens of Cultural Consensus Theory
Necdet Gurkan, Jordan W. Suchow
As the societal implications of Artificial Intelligence (AI) continue to grow, the pursuit of responsible AI necessitates public engagement in its development and governance proces…
Evaluating Large Language Models on the GMAT: Implications for the Future of Business Education
Vahid Ashrafimoghari, Necdet Gürkan, Jordan W. Suchow
The rapid evolution of artificial intelligence (AI), especially in the domain of Large Language Models (LLMs) and generative AI, has opened new avenues for application across vario…
Harnessing Collective Intelligence Under a Lack of Cultural Consensus
Necdet Gürkan, Jordan W. Suchow
Harnessing collective intelligence to drive effective decision-making and collaboration benefits from the ability to detect and characterize heterogeneity in consensus beliefs. Thi…
Actively learning a Bayesian matrix fusion model with deep side information
Yangyang Yu, Jordan W. Suchow
High-dimensional deep neural network representations of images and concepts can be aligned to predict human annotations of diverse stimuli. However, such alignment requires the cos…
The Design and Operation of Digital Platform under Sociotechnical Folk Theories
Jordan W. Suchow, Lea Burton, Vahid Ashrafimoghari
We consider the problem of how a platform designer, owner, or operator can improve the design and operation of a digital platform by leveraging a computational cognitive model that…
Coincidental Generation
Jordan W. Suchow, Necdet Gürkan
Generative A.I. models have emerged as versatile tools across diverse industries, with applications in privacy-preserving data sharing, computational art, personalization of produc…