This study presents a global analysis of the potential exposure of occupations and tasks to Generative AI, and specifically to Generative Pre-Trained Transformers (GPTs), and the possible implications of such exposure for job quantity and quality. It uses the GPT-4 model to estimate task-level...

We examine the implications of robots and artificial intelligence (AI) for employment and productivity, using a rich firm-level database from the Survey of Business Activities provided by Statistics Korea. While previous studies have explored the effects of robots and AI separately, we...

In the digital age, banks must urgently transform their traditional lending processes. This necessity is intensified by the growing competition from digital providers and customers' increasing expectations for efficiency and speed in financial services. Particularly in the business banking...

Leib et al. (2024) examine how artificial intelligence (AI) generated advice affects dishonesty compared to equivalent human advice in a laboratory experiment. In their preferred empirical specification, the authors report that dishonesty-promoting advice increases dishonest behavior by...

The rapid rise of Artificial Intelligence (AI) brings forth an array of challenges and concerns that might hinder adoption and prevent the seizing of innovation opportunities. Coupled with the low success rate of digitalisation projects, the urgency for a structured approach to AI-driven...