Shows how ordinary profitability mandates can lead LLMs to discount ambiguous safety signals even when risk remains visible in their reasoning.
Examines how portfolio managers recompose holdings to cross Morningstar category boundaries and obtain more favorable ratings.
Examines how people trade off expertise against fear of judgment when deciding whether to disclose information to human or AI advisors.
Studies the conditions that determine whether people accept, discount, or act on advice generated by large language models.
Investigates how fee structures affect investor behavior and the distribution of costs across market participants.