Two Nobel Prizes were given for breakthroughs in artificial intelligence that are already changing science and medicine, but these advances also come with serious risks that need careful attention.

The paper aims to explain why the 2024 Nobel Prizes in Physics and Chemistry were awarded to researchers in artificial intelligence (AI), and to discuss how their work is transforming science, medicine, and society. The authors also seek to highlight both the benefits and the ethical risks of these AI breakthroughs. Simply put: The paper explains why AI won two Nobel Prizes and what this means for science, medicine, and society.

This article is a narrative review and commentary. The authors summarize the achievements of the Nobel laureates in AI, describe the scientific and medical impacts of their work, and discuss broader societal and ethical implications. They draw on historical context, recent scientific advances, and examples from clinical practice to illustrate their points. Simply put: The authors review and explain the Nobel-winning AI work and its effects, using stories and examples from science and medicine.

The article reports that John J. Hopfield and Geoffrey E. Hinton won the Nobel Prize in Physics for foundational work on artificial neural networks (computer systems inspired by the brain), which power modern machine learning. Demis Hassabis and John M. Jumper received the Nobel Prize in Chemistry for AlphaFold2, an AI tool that predicts protein structures from genetic information, solving a decades-old challenge. The authors argue that these advances are revolutionizing medicine by enabling faster disease research and better treatments. However, they also warn about risks, such as bias, misuse, and the potential for AI to surpass human control, stressing the need for responsible development and oversight. Simply put: The paper shows that AI is making big changes in science and medicine, but warns that we must use it carefully to avoid harm.