Generative AI drives productivity gains while posing risks to learning and security

Generative artificial intelligence is rapidly transforming various sectors, with significant impacts observed in education, mental health, and cybersecurity. In education, AI serves as a dual-edged tool. While it can streamline lesson planning for teachers and act as a personalized tutor for students, research highlights a critical paradox. A study of 26,811 Chinese students revealed that while AI helped complete homework 30 percent faster and increased assignment scores by 18 percent, long-term learning suffered. Within six months, students' exam scores dropped by approximately 20 percent, with university entrance exam results declining by up to 24 percent.

In the humanitarian and social sectors, the United Nations is deploying AI to advance human rights and climate action, such as using satellite data to detect methane leaks. Meanwhile, in the financial sector, AI is being used to enhance crypto-transactions through autonomous agents, though it also fuels a 40 percent increase in criminal use for fraud and deepfakes.

Other applications include using AI to identify cognitive errors in mental health therapy and integrating intelligent assistance systems in the automotive industry to improve driver safety. However, experts warn of the risks associated with autonomous AI agents, noting they can be manipulated to perform harmful tasks if instructions are broken down into smaller, seemingly innocent commands.