Anwendungen der Künstlichen Intelligenz (KI) begegnen uns bereits heute, wenn auch oft unbemerkt, im Privat- und im Arbeitsleben. Die KI-Forschung hat eine rasante Entwicklung genommen; viele Experten gehen davon aus, dass die grundlegenden Veränderungen noch bevorstehen. Was gestern noch fast...

Das Werk behandelt das „Bezahlen mit Daten“ aus umsatzsteuerrechtlicher Sicht. Ausgehend von der (steuer)rechtlichen Einordnung künstlicher Intelligenz werden die Auswirkungen des Einsatzes künstlicher Intelligenz in Geschäftsmodellen auf das bestehende Besteuerungssystem dargestellt und...

This paper investigates the determinants of comparative advantage in Artificial Intelligence (AI)-intensive industries using a comprehensive dataset of US imports from 68 countries across 79 manufacturing and service industries over the period 1999–2019. Using a novel measure of AI intensity...

Can people develop trust in Artificial Intelligence (AI) by learning about its developments? We conducted a survey experiment in a nationally representative panel survey in the United States (N = 1,491) to study whether exposure to news about AI influences trust differently than learning about...

Purpose Artificial intelligence (AI) offers many benefits to improve predictive marketing practice. It raises ethical concerns regarding customer prioritization, market share concentration and consumer manipulation. This paper explores these ethical concerns from a contemporary perspective,...

This study evaluates the effectiveness of varying levels of human and artificial intelligence (AI) integration in reproducibility assessments. We computationally reproduced quantitative results from published articles in the social sciences with 288 researchers, randomly assigned to 103 teams...

How do perceptions of AI versus human authorship affect engagement with creative work? In an incentivized experiment, participants (N=654) assessed the content of a short story labeled as either human or AI-generated and reported their willingness to pay and work to finish reading it. Consistent...

The field of MLOps (Machine Learning Operations), which focuses on effectively managing and operationalizing ML workflows, has grown because of the advancements in machine learning (ML). The goal of this study is to examine and contrast the difficulties encountered in the implementation of MLOps...

This study aims to understand how InsurTech has developed in Korea. To achieve this, we collected InsurTech-related news articles published in the Korean media over the past eight years. Using a relatedness analysis based on the TopicRank algorithm, a text mining technique, we extracted the top...

Can people develop trust in Artificial Intelligence (AI) by learning about its developments? We conducted a survey experiment in a nationally representative panel survey in the United States (N = 1,491) to study whether exposure to news about AI influences trust differently than learning about...

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...

This paper explores the application of machine learning (ML) techniques to nowcast the monthly year-over-year growth rate of both total and non-primary GDP in Peru. Using a comprehensive dataset that includes over 170 domestic and international predictors, we assess the predictive performance of...

We investigate whether artificial intelligence can address the peer review crisis in economics by analyzing 27,090 evaluations of 9,030 unique submissions using a large language model (LLM). The experiment systematically varies author characteristics (e.g., affiliation, reputation, gender) and...

We study how the effects of exports on earnings vary across individual workers, depending on a wide range of worker, firm, and job characteristics. To this end, we combine a generalized random forest with an instrumental variable strategy. Analyzing Germany's exports to China and Eastern Europe,...

We study whether large language models (LLMs) can generate suitable financial advice and which LLM features are associated with higher-quality advice. To this end, we elicit portfolio recommendations from 32 LLMs for 64 investor profiles, which differ in their risk preferences, home country,...

This paper examines the potential for automation and artificial intelligence (AI) to induce a broader economic decline, impacting not only labor but also the owners of capital and advanced technology. While automation has traditionally favored skilled over unskilled workers, recent advancements...

There is a consensus on the urgent need for a cohesive European response to the challenges posed by Artificial Intelligence (AI). Increased investment, policy alignment and skill development, are crucial to leverage the emergence of this ground-breaking technology of AI for societal good. The...

Despite the potential significant benefits of AI in health and particular in healthcare, its uptake is slow. Main barriers include trust issues, understandability of outputs and patient safety concerns. While "trustworthy AI" has been embraced as a policy programme by various global regions,...

The circular economy represents a systematic shift in production and consumption, aimed at extending the life cycle of products and materials while minimizing resource use and waste. Achieving the goals of the circular economy presents firms with the challenge of innovating new products,...

This study examines the implications of artificial intelligence (AI) on employment, wages, and inequality in Latin America and the Caribbean (LAC). The paper identifies tasks and occupations most exposed to AI using comprehensive individual-level data alongside AI exposure indices. Unlike...

This study proposes a robotic process automation (RPA) model to streamline and optimize order-handling procedures in supply chain management. The current manual approach to order handling poses challenges, including limited accessibility and significant cognitive demands on employees. An...

Workforce planning in logistics is a major challenge due to increasing demands and a dynamic environment. The number of delivery positions is a key factor in determining staffing requirements. This is often predicted subjectively based on employee assessments. To improve decision making and...