Computational thinking—the ability to formulate and solve problems with computing tools—is undergoing a significant shift. Advances in generative AI, especially large language models (LLMs), 2 are ...

As evidence mounts of AI giants' alleged scraping of proprietary data and settling massive copyright lawsuits, the industry faces structural challenges beyond just ethics and governance. With 75% of ...

Researchers and users of LLMs have long been aware that AI models have a troubling tendency to tell people what they want to hear, even if that means being less accurate. But many reports of this ...

In a recent review article published in npj Digital Medicine, researchers investigated the ethical implications of deploying Large Language Models (LLMs) in healthcare through a systematic review.

Large language models (LLMs) are rapidly moving beyond chat interfaces into the core of global energy systems, where they are ...

Unregulated AI use in academia creates ethical risks, including plagiarism and compromised originality, while human effort ...

Large language models (LLMs) have demonstrated remarkable versatility in oncology applications, such as cancer staging and survival analysis. Despite their potential, ethical concerns such as data ...

Ankit is an ethical AI and data engineering expert at Google focused on customers' successful data and machine learning journeys. As an ethical AI enthusiast who has led the implementation of large ...

At the core of large language model (LLM) security lies a paradox: the very technology empowering these models to craft narratives can be exploited for malicious purposes. LLMs pose a fundamental ...