[University AI Colloquium] ② Cultivate Major-Specific AX Talent and Problem-Solving Skills for the Field

What happened

On the 27th, a second meeting of the 'AI Education Innovation Colloquium' was held at Hanyang University. Professors from 12 universities in the Seoul area shared how they are changing their teaching. Most agreed that schools should focus on each university's strong majors and local industries, instead of teaching the same AI-heavy courses to everyone.

Key facts

• 12 universities took part: 4 AI-focused universities and 9 software (SW)-focused universities, with Hanyang University (Erica campus) counted once in the list.
• The meeting was the second in the series and was held on the 27th at Hanyang University.
• One professor described a project that uses AI to detect green algae for 6 public agencies.

Key terms explained

AX means 'AI transformation.' It is about using AI to change how a business or field works. The talks also looked at what counts as an 'AI major.' Some professors said that if the term is defined too narrowly, regular computer science courses could be labeled as AI courses. Others said that AI-related majors should be defined more broadly, to match what industries need.

Why it matters

Most students will not build AI systems themselves. Many will work at companies that use AI. Schools need to teach students to define problems, use AI to solve them, and check whether the AI's answers are correct. This shows that universities are rethinking how they prepare students for jobs in an AI-driven world.

What to watch

• Whether universities change their majors and course plans to match local industries.
• How schools test students: the speakers said coding skill alone is not enough, and students must also check AI results.
• Whether the schools' plan to link problem-solving with startups turns into real programs.