In the complex organisational landscape, managing workforce diversity effectively has
become crucial due to rapid technological advancements and shifting societal values. This …

In the ever-changing world of decision-making, when game theory and reinforcement
learning (RL) come together, they create a fascinating combination that shows a new way to …

Artificial intelligence (AI) is increasingly discussed as an innovation enabler for the
enhancement of circular economy (CE) approaches in industries. The further deployment of …

The application of artificial intelligence in designing the future aircraft cockpit may lead to
conflicts especially during the human-computer decision-making process. To harmonize the …

In the digital workspace, artificial intelligence (AI) and machine learning (ML) technologies
have entered the daily activities of a wide range of professions (Brynjolfsson & McAfee …

Artificial Intelligence (AI) research is intrinsically innovative and serves as a source of
innovation for research and development in a variety of domains. There is an assumption …

Traditionally, operators, system users as well as other non-management employees have
been rarely involved in the design, planning, and construction of machines. With the recent …

Alongside the rapid development and progression of AI algorithms, parallel efforts have
been made to apply AI algorithms to human-facing systems. Over the last few decades …

With new configurations of machine learning systems developed, the machine learning
systems are getting responsibilities that humans usually had. This shift of responsibilities …

With the current progress and limitations of artificial intelligence (AI), optimal outcomes in
any complex problem-solving scenario will involve humans and AI working together. Yet …