Abstract Machine Learning (ML) is a branch of artificial intelligence that studies algorithms
able to learn autonomously, directly from the input data. Over the last decade, ML …

While artificial intelligence (AI) offers promising solutions in healthcare, it also poses a
number of threats to human health and well-being via social, political, economic and security …

We report the development of GPT-4, a large-scale, multimodal model which can accept
image and text inputs and produce text outputs. While less capable than humans in many …

We investigate the potential implications of large language models (LLMs), such as
Generative Pre-trained Transformers (GPTs), on the US labor market, focusing on the …

Artificial intelligence (AI) has captured substantial interest from a wide array of marketing
scholars in recent years. Our research contributes to this emerging domain by examining AI …

In order to better understand the complex and dialectical relationships between digital
technologies, innovation, and skills, it is necessary to improve our understanding of the …

This review considers the evolution of economic thinking on the relationship between digital
technology and inequality across four decades, encompassing four related but intellectually …

104 Erik Brynjolfsson like the steam engine and electricity catalyzed a restructuring of the
economy, our own economy is increasingly transformed by AI. A good case can be made …

This article explores the ways artificial intelligence (AI) may impact new venture processes,
practices and outcomes. We examine how such technology will augment and replace tasks …

The latest era of the industrial revolution is the culmination of an accelerating pace of
evolution and digital transformation, one that has had a profound impact on the labor market …