LSE says global challenges in AI era demand stronger social sciences, not just STEM
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…
LONDON — As the global race for artificial intelligence (AI) intensifies, universities are funneling substantial resources into science, technology, engineering and mathematics (STEM). Nonetheless, the London School of Economics and Political Science (LSE) contends that the core challenges of the AI era will not be conquered by technology alone.
Rather, the world's most pressing issues — such as AI governance, climate change, inequality, and eroding public trust — necessitate a stronger emphasis on social sciences. Larry Kramer, the president and vice chancellor of LSE, emphasized this perspective in a recent interview with The Korea Times at the university's campus. Kramer stated that all significant aspects of AI are fundamentally social science problems.
He explained that while technology offers possibilities, it is ultimately the choices made by society that transform those possibilities into either benefits or risks. Contrary to the global push to generate more AI engineers, Kramer urged universities to concentrate on the disciplines that shape how this technology is governed and utilized within society.
The future of AI, he argued, hinges on the ability to navigate and harness its potential effectively through robust social sciences.
Written by urgent.news from The Korea Times's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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