Usage of large language models and chat bots will almost surely continue to grow, since
they are so easy to use, and so (incredibly) credible. I would be more comfortable with this …

Large language models (LLMs) have achieved amazing successes. They have done well on
standardized tests in medicine and the law. That said, the bar has been raised so high that it …

Transformer-based contextualized language models constitute the state-of-the-art in several
natural language processing (NLP) tasks and applications. Despite their utility …

Our last emerging trend article introduced Risks 1.0 (fairness and bias) and Risks 2.0
(addictive, dangerous, deadly, and insanely profitable). This article introduces Risks 3.0 …

This study explores the impact of artificial intelligence (AI) on brand communication within
corporate social networks, analyzing its benefits, ethical and technical challenges, and …

Research on responsible AI has boomed over the past few years. Yet, an understanding of
the responsible AI research across primary disciplines is missing in the literature. Through a …

The interplay between humans and Generative AI (Gen AI) draws an insightful parallel with
the dynamic relationship between giraffes and acacias on the African Savannah. Just as …

Deep nets such as GPT are at the core of the current advances in many systems and
applications. Things are moving fast; techniques become obsolete quickly (within weeks) …

This research investigates the integration of artificial intelligence (AI), flood risk
management, political dynamics, and entrepreneurship in enhancing resilient city …

We propose a method to predict toxicity and other textual attributes through the use of
natural language processing (NLP) techniques for two recent events: the Ukraine-Russia …