AI@CBS

One of the most significant levers available to gaming companies in designing digital games is setting the level of difficulty, which essentially regulates the user’s ability to progress within the game. This aspect is particularly significant in free-to-play (F2P) games, where the paid version often aims to enhance the player’s experience and to facilitate faster progression. In this paper, we leverage a large randomized control trial to assess the effect of dynamically adjusting game difficulty on players’ behavior and game monetization in the context of a popular F2P mobile game.

Non-informational cues, such as facial expressions, can significantly influence judgments and interpersonal impressions. While past research has explored how smiling affects business outcomes in offline or in-store contexts, relatively less is known about how smiling influences consumer choice in e-commerce settings even when there is no face-to-face interaction.

Screening human capital based on signals such as job applications or entrepreneurial pitches is crucial for organizations. Signals are informative insofar as they are costly. Generative AI (GAI) complicates screening by lowering the cost of producing impressive signals. We model the informational effects of GAI, showing that applicants' use of GAI can increase-but also decrease-an evaluator's screening mistakes. This result depends on how GAI affects experts' signals compared to non-experts'.

In this feature with Education Technology Insights APAC, Dave Moretti, Senior Director of Digital Marketing and Technology at Columbia Business School, discusses how AI and technology need to be explored and implemented to better streamline communication between administrators, students, potential candidates and visitors.

Whether speaking, writing, or thinking, almost everything humans do involves language. But can the semantic structure behind how people express their ideas shed light on their future success? Natural language processing of over 40,000 college application essays finds that students whose writing covers more semantic ground, while moving more slowly (i.e. moving between more semantically similar ideas), end up doing better academically (i.e. have a higher college grade point average). These relationships hold controlling for dozens of other factors (e.g.

Using publicly available data from 299 pre-registered replications from the social sciences, we find that the language used to describe a study can predict its replicability above and beyond a large set of controls related to the paper characteristics, study design and results, author information, and replication effort. To understand why, we analyze the textual differences between replicable and nonreplicable studies.

The use of AI in a custom-built closed platform using open climate curriculum cases and course materials to help faculty at business schools around the globe build new courses integrating climate initiatives into their teaching practices.