This article discusses the possibility of the rehabilitation of tax incentives to address the negative effects of artificial intelligence (AI) automation, especially since investments in new technologies resulting in automation are largely subsidized. This idea is premised on the need to restore...

Members of various species engage in altruism — i.e. accepting personal costs to benefit others. Here we present an incentivized experiment to test for altruistic behavior among AI agents consisting of large language models developed by the private company OpenAI. Using real incentives for AI...

Algorithms are playing crucial roles in mediating our daily lives, making our choices in an increasingly efficient and automatic manner. My dissertation argues that the tendency of automating our everyday life can potentially reduce our interactive relations into an automatic enforcement of...

Despite the importance of emotion in decision making (e.g., ohm and Clore 2002; Luce 1998; Pham 1998; Ruth 2001), research has yet to fully understand how consumers’ use emotional information to make effective decisions. A growing body of research continues to focus on the emotions present in consumption...

The capacity of a plantation forest to grow and produce timber is locally constrained by topography, climate, soil conditions, and external factors such as fire and timber harvesting. Accurate estimation of forest productivity supports effective forest management. However, efficiently generating...

Purpose: Sales and procurement are the main boundary spanning functions of an organization – each with a specific focus and partly different views and objectives. They are often considered as two sides of a coin that struggle with one another for relative competitive advantage. The...

Artificial intelligence (AI) is revolutionizing business by allowing companies to perform more efficiently and effectively while using much fewer resources. Organizations are increasingly searching for strong and sophisticated solutions that may enhance and simplify their operations as science,...

A key challenge facing the use of Machine Learning (ML) in operational selection settings (e.g., the processing of loan or job applications) is the potential bias against (racial and gender) minorities. To address this challenge, a rich literature of Fairness-Aware ML (FAML) algorithms has...

A Robotic Process Automation (RPA) enabled by Generative Artificial intelligence (GAI) has become an important field within the digital eco-system. With the introduction of Chat GPT, which is a public tool developed by Open GAI and its underlying technology Generative Pretrained Transformer...

This paper argues for a sandbox approach to regulating artificial intelligence (AI) to complement a strict liability regime. The authors argue that sandbox regulation is an appropriate complement to a strict liability approach, given the need to maintain a balance between a regulatory approach...