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 artificial intelligence (AI) becomes a global priority, universities are investing heavily in science, technology, engineering and mathematics (STEM). The London School of Economics and Political Science (LSE) believes the key challenges of the AI age require more than just technological solutions. The world's most pressing issues, including AI governance, climate change, inequality, and public trust, are fundamentally social science problems, said Larry Kramer, president and vice chancellor of LSE.
In an interview with The Korea Times, Kramer emphasized that while technology offers potential, the impact of AI on society depends on societal choices. Instead of competing globally to create more AI engineers, Kramer suggests universities should focus on disciplines that shape AI's governance and application in society. The goal is to ensure the benefits outweigh the risks.
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.
