| By Seungmin (Helen) Lee | With the explosion in demand for artificial intelligence (AI) data centers to support the exponential integration of AI into businesses, operations, governments, and daily lives, the cybersecurity of AI data centers is becoming increasingly important. Given that AI data centers host AI models, weights, and training data, these centers face an expanded set of threats—particularly related to hardware, model, and geopolitical security. This report recommends a new framework to develop more cyber-secure AI data centers.

| By Seungmin (Helen) Lee | As AI innovation and development took off in South Korea, so did unethical and unreliable use of the technology. The country’s AI legal framework that passed in December 2024 was designed to place guardrails around the future of AI. However, its impact is yet to be determined.

| Written By Seungmin (Helen) Lee and Michelle J. Lee | Nations fueled by artificial intelligence (AI) nationalism – the sentiment that a nation must develop its own technology to serve its interests – are racing to achieve AI supremacy. Undoubtedly, the United States and China are at the forefront, adding yet another battleground to their increasingly tense relationship.

| Written By Seungmin (Helen) Lee | The country was able to limit the impact of AI-generated deepfakes during its recent National Assembly elections. What can other countries learn from its experience? On April 10, South Korea held its 22nd National Assembly elections, which resulted in the Democratic Party (DP) winning 175 out of 300 seats and the ruling People Power Party (PPP) winning 108. The voter turnout of 67 percent was the highest in 32 years.