Around the globe, technological advancements such as artificial intelligence (AI) are reshaping workplaces affecting employee wellbeing (EWB). To understand the AI-EWB link, a conceptual model is developed to explore the link between AI-driven capabilities and employee wellbeing (EWB), with cybernetic thinking (CT) as a mediator. Furthermore, organizational ambidexterity (OA) is introduced as a moderating factor between CT and EWB grounded on integrated dynamic capabilities with resource-based theory in the context of a developing country like Pakistan. Data were collected from 490 doctors working in private sector hospitals across two major cities of Pakistan—Karachi & Islamabad and data analysis was performed using PLS-SEM 4.0. Results indicate that AI-driven capabilities significantly relate to EWB. Furthermore, CT explains the relationship between tangible, human resources, intangible-driven AI capabilities, and EWB. In addition, OA moderates the link between CT and EWB. Hence, mediated moderation is established. To remain resilient, this study offers theoretical as well as practical insights into how healthcare practitioners can harness AI through integrating organizational factors like CT can help reduce stress and improve EWB through adopting a balanced approach to manage innovation. Policy implications along with directions for studies to be conducted by researchers are also provided.

The objective of this study is to focus on the automatic generation of game artificial intelligence (AI) controllers for Ms. Pac-Man agent by using artificial neural network (ANN) and multiobjective artificial evolution. The Pareto Archived Evolution Strategy (PAES) is used to generate a Pareto optimal set of ANNs that optimize the conflicting objectives of maximizing Ms. Pac-Man scores (screen-capture mode) and minimizing neural network complexity. This proposed algorithm is called Pareto Archived Evolution Strategy Neural Network or PAESNet. Three different architectures of PAESNet were investigated, namely, PAESNet with fixed number of hidden neurons (PAESNet_F), PAESNet with varied number of hidden neurons (PAESNet_V), and the PAESNet with multiobjective techniques (PAESNet_M). A comparison between the single- versus multiobjective optimization is conducted in both training and testing processes. In general, therefore, it seems that PAESNet_F yielded better results in training phase. But the PAESNet_M successfully reduces the runtime operation and complexity of ANN by minimizing the number of hidden neurons needed in hidden layer and also it provides better generalization capability for controlling the game agent in a nondeterministic and dynamic environment.

The rapid development of artificial intelligence technology has ushered in a new era of content generation, with artificial intelligence generated content (AIGC) emerging as a transformative force in higher education. This systematic review aims to synthesize current research findings on AIGC applications in higher education, focusing on empirical studies published between 2023 and 2024, to understand its implementation patterns, impacts, and challenges. Using three major academic databases, this study identified and analyzed 29 peer-reviewed articles that met our inclusion criteria. The findings reveal both significant opportunities and challenges: while AIGC demonstrates remarkable potential in enhancing learning engagement and outcomes across various disciplines, particularly in programming, digital design, and critical thinking development, its effectiveness varies considerably depending on factors such as disciplinary context, user characteristics, and technological infrastructure. Trust emerges as a crucial mediating factor in AIGC adoption, with studies showing a gradual transformation from initial skepticism to effective utilization among students. The review concludes that successful AIGC integration requires careful consideration of both technical capabilities and psychological factors, suggesting the need for balanced implementation strategies that maximize educational benefits while addressing potential limitations in accuracy, creativity development, and critical thinking.