This paper conducts a systematic review and interdisciplinary analysis of the ethical
challenges of generative AI technologies (N= 37), highlighting significant concerns such as …

In the rapidly evolving domain of artificial intelligence, chatbots have emerged as a potent
tool for various applications ranging from e-commerce to healthcare. This research delves …

As large language models continue to advance in Artificial Intelligence (AI), text generation
systems have been shown to suffer from a problematic phenomenon often termed as" …

Applications of Generative AI (Gen AI) are expected to revolutionize a number of different
areas, ranging from science & medicine to education. The potential for these seismic …

Transformer neural networks show promising capabilities, in particular for uses in materials
analysis, design, and manufacturing, including their capacity to work effectively with human …

The release of GPT-4 has garnered widespread attention across various fields, signaling the
impending widespread adoption and application of Large Language Models (LLMs) …

This paper introduces a competency-based model for generative artificial intelligence (AI)
literacy covering essential skills and knowledge areas necessary to interact with generative …

The democratization of artificial intelligence (AI) involves extending access to AI
technologies beyond specialized technical experts to a broader spectrum of users and …

In the evolving digital work environment, the rising prevalence of generative AI tools
presents a complex challenge for practitioners: deciding whether to allow or restrict their use …

Many policy makers and corporate leaders are adjusting their strategies to harness the
power of GenAI. There are numerous debates on how GenAI would fundamentally change …