LONDON — As the global race for artificial intelligence (AI) accelerates, universities are pouring unprecedented investment into science, technology, engineering and mathematics (STEM). However, the London School of Economics and Political Science (LSE) argues that the defining challenges of the AI age will not be solved by technology alone. Instead, the world's greatest challenges — from AI governance and climate change to inequality and declining public trust — will ultimately demand stronger social sciences. "All of the important issues and challenges around AI are social science problems," Larry Kramer, president and vice chancellor of LSE, said in a recent interview with The Korea Times at the school's campus. "The technology creates possibilities. Whether those possibilities become benefits or risks depends entirely on the choices society makes." Rather than joining the global race to produce more AI engineers, Kramer argued that universities should focus on the disciplines that determine how the technology is governed and applied in society. "Figuring out how to get the bene