International Olympiad in Artificial Intelligence (IOAI) 2025,in Beijing, China, from August 2nd to August 9th

The International Olympiad in Artificial Intelligence (IOAI) is an international science competition focused on artificial intelligence, designed for high school students. Each participating country or territory can send up to two teams, with each team consisting of up to four students supported by one leader.

The International Olympiad in Artificial Intelligence (IOAI) 2025 will be held in Beijing, China, from August 2nd to August 9th, 2025. This will be the second edition of the IOAI, following the inaugural event in 2024.

The competition has two main rounds:

• Scientific round: This comprises an at-home portion, which has a smaller weight, giving participants a month to solve problems, and an on-site portion with an 8-hour time limit. The scientific round tests theoretical and problem-solving knowledge in AI.
• Practical round: Conducted on-site, lasting four hours, where participants solve two tasks related to AI applications like image and video generation, using existing AI tools to produce results.

Awards are distributed with roughly half the participants receiving distinctions in gold, silver, and bronze medals in a 1:2:3 ratio for the scientific round and corresponding awards in the practical round. The top 3 teams receive honorary trophies.

Beyond competition, IOAI fosters discussion on ethical AI issues and aims to engage the broader community, with activities such as involving local celebrities for promotion and hosting conferences where teams attend lectures and practical sessions on current AI topics.

IOAI is a growing global event, with over 85 countries involved as of 2025, and the 2025 edition is scheduled to take place in Beijing, China. The Olympiad encourages international collaboration and talent development, supporting educational initiatives and national AI Olympiads through the Global AI Talent Empowerment (GAITE) program to promote equal participation worldwide.

The official syllabus covers both theoretical foundations (“how it works”) and practical coding skills (“what it does and how to implement”), focusing on areas such as machine learning, natural language processing, and computer vision, ensuring students develop a balanced understanding and proficiency in AI.