While Artificial Intelligence (AI) has been in existence since the Seminal work of Newell and Simon (1956), it still represents one of the significant breakthroughs that offer the opportunity for digital transformation and automation across a wide variety of industries. As defined by Colosimo et...

Combining fuzzy theory with data envelopment analysis (DEA) is proved to be an advantageous tool to assess the performance of decision-making units (DMUs) under uncertainty. As innovative activities and processes always are faced with uncertainty, this paper aims to propose a novel approach...

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...

Artificial Intelligence (AI) scientists are challenged to create intelligent, autonomous agents that can make rational decisions. In this challenge, they confront two questions: what decision theory to follow and how to implement it in AI systems. This paper provides answers to these questions...

The adoption of artificial intelligence (AI) is rapidly growing in sectors such as healthcare, finance, transportation, manufacturing and entertainment. Its increasing popularity in recent years is largely due to its ability to automate tasks, such as processing large amounts of information or...

The adoption of artificial intelligence (AI) is rapidly growing in sectors such as healthcare, finance, transportation, manufacturing and entertainment. Its increasing popularity in recent years is largely due to its ability to automate tasks, such as processing large amounts of information or...