5 papers
Beyond AI advice -- independent aggregation boosts human-AI accuracy
Julian Berger, Pantelis P. Analytis, Ville Satopää +1
Artificial intelligence (AI) is broadly deployed as an advisor to human decision-makers: AI recommends a decision and a human accepts or rejects the advice. This approach, however,…
The hybrid confirmation tree: A robust strategy for hybrid intelligence
Julian Berger, Pantelis P. Analytis, Frederik Andersen +3
Combining human and artificial intelligence (AI) is a potentially powerful approach to boost decision accuracy. However, few such approaches exist that effectively integrate both t…
Human learning is an understudied but promising lever for boosting human--AI synergy
Julian Berger, Jason W. Burton, Ralph Hertwig +9
Humans collaborating with artificial intelligence (AI) hold the promise of achieving superior outcomes compared to either acting alone (i.e., human--AI synergy). However, the condi…
Human-AI collectives produce the most accurate differential diagnoses
N. Zöller, J. Berger, I. Lin +10
Artificial intelligence systems, particularly large language models (LLMs), are increasingly being employed in high-stakes decisions that impact both individuals and society at lar…
Strategic Network Creation for Enabling Greedy Routing
Julian Berger, Tobias Friedrich, Pascal Lenzner +2
Today we rely on networks that are created and maintained by smart devices. For such networks, there is no governing central authority but instead the network structure is shaped b…