What is the impact of AI to scientific researchers?

AI boosts productivity in science by improving data analysis and execution, but at the same time risks over-reliance and loss in scientific creativity. For example, AI can analyse large datasets in minutes, but researchers may rely too heavily on automated results rather than their own insights. Prof. Cornelia Lawson's masterclass in Tokyo explored these trade-offs during a University of Manchester East Asia Centre event.

With almost 35 years of presence in Japan, the Centre regularly hosts academic events connecting alumni with Manchester faculty. The alumni community consequently continues to learn and network even after graduation.

Learn more about the Manchester Global MBA, the flagship programme of the University of Manchester East Asia Centre, by booking a one-to-one consultation online.