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University of Tokyo Autumn Matriculation Highlights Dialogue, Critical Thinking, and Better Questions in the AI Era

Cameron
Cameron
October 01, 2026
11 min read
University of Tokyo Autumn Matriculation Highlights Dialogue, Critical Thinking, and Better Questions in the AI Era
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The University of Tokyo welcomed its autumn 2026 entering class October 1 as university leaders emphasized dialogue, diverse perspectives, critical thinking, and the importance of asking better questions in the AI era.


Editorial Note

The University of Tokyo’s October 1 autumn matriculation ceremony was an institutional academic event rather than a new Japanese national education policy.

Remarks by university leaders and guests express educational philosophies and institutional priorities. They should not be interpreted as new Ministry of Education requirements, new university regulations governing artificial intelligence, or a mandatory curriculum applying to all UTokyo students.

This article focuses on the educational significance of the ceremony, particularly the university’s emphasis on dialogue, international participation, critical inquiry, and the skills students may need as artificial intelligence becomes increasingly capable of producing information and answers.

The University of Tokyo formally welcomed its autumn 2026 entering class on October 1 at Yasuda Auditorium, using one of Japan’s most prominent academic ceremonies to emphasize a set of skills that may become increasingly important as artificial intelligence changes how students obtain and process information.

University leaders stressed dialogue, engagement with different perspectives, and the importance of confronting complex problems rather than remaining inside comfortable information environments.

The most direct connection to artificial intelligence came from Takeshi Kunibe, president of the UTokyo Alumni Association.

Kunibe told incoming students that AI systems are becoming increasingly capable of generating logical and useful answers, but that the ability to identify the right question remains fundamentally important.

That distinction raises a larger issue facing universities around the world.

If students can obtain competent explanations, summaries, outlines, translations, and draft responses almost instantly, higher education must clarify what students are expected to contribute beyond retrieving information.

Bottom Line

The University of Tokyo held its 2026 autumn matriculation ceremony October 1 at Yasuda Auditorium on the Hongo Campus.

The ceremony began at 10 a.m. and was conducted in English. President Teruo Fujii addressed entering students, followed by remarks from Graduate School of Agricultural and Life Sciences Dean Kazushige Touhara and UTokyo Alumni Association President Takeshi Kunibe.

Two incoming students represented the entering class in the formal pledge.

The university also livestreamed the ceremony for students, families, and members of the public who could not attend in person.

The educational significance extends beyond the ceremony itself.

Kunibe’s remarks directly connected artificial intelligence with the importance of questioning assumptions, seeking perspectives that may be uncomfortable, and developing the ability to identify the underlying problem before accepting an answer.

What Happened

The University of Tokyo held its autumn semester matriculation ceremony on October 1 for students newly enrolled between April 2 and October 1.

The ceremony included senior university leadership, graduate-school and faculty representatives, research-institute directors, incoming students, and UTokyo Alumni Association President Takeshi Kunibe.

President Teruo Fujii delivered the president’s address.

His remarks emphasized dialogue and the value of interactions that occur when people share the same physical and intellectual space.

Fujii reflected on the period during the COVID-19 pandemic when university teaching and ceremonies largely shifted online.

Although digital communication remains useful, he emphasized the distinctive value of seminars, experiments, research meetings, and conversations that occur face to face.

Kunibe approached the issue from another direction.

He discussed digital information environments and artificial intelligence, arguing that people can increasingly construct information environments containing only what they want to see.

He encouraged students to encounter uncomfortable facts, different opinions, and perspectives that challenge their assumptions.

Why AI Changes the Meaning of a University Education

Generative artificial intelligence can now perform tasks that once required significant student effort.

AI systems can explain concepts, summarize readings, translate language, produce outlines, generate code, organize ideas, draft essays, and respond to sophisticated questions.

That does not eliminate the need for education.

It changes the value of certain educational skills.

Students still need enough knowledge to determine whether an AI-generated explanation is accurate.

They need subject expertise to recognize missing context.

They need reasoning skills to compare conflicting evidence.

They need ethical judgment to determine whether something should be done simply because technology makes it possible.

And they need the ability to identify problems worth solving.

The last skill is particularly important.

An artificial-intelligence system can provide a polished response to a badly framed question.

If the user begins with a false assumption, overlooks important stakeholders, or asks the wrong question entirely, a technically impressive answer may still lead in the wrong direction.

Asking Better Questions

Kunibe’s address emphasized the distinction between wrong answers and wrong questions.

That idea is especially relevant in the age of generative AI.

Traditional education has often rewarded students for producing correct answers.

Tests frequently ask students to identify a fact, calculate a result, define a concept, or explain an established argument.

Those tasks remain important because students need foundational knowledge.

However, advanced learning involves a second level of intellectual work.

Students need to decide what deserves investigation.

They need to identify assumptions.

They need to recognize when a problem has been framed too narrowly.

They need to determine whose perspective is missing.

They must also know when additional evidence is required before reaching a conclusion.

Those skills become more important when technology can generate answers quickly.

The Value of Dialogue

President Fujii’s October 1 remarks centered heavily on dialogue.

He encouraged incoming students to engage with people around them and emphasized the value of learning through conversation.

That message complements the AI theme.

Digital systems can expose students to enormous quantities of information, but information access is not identical to human understanding.

A real conversation requires students to respond to another person whose priorities, experiences, assumptions, and interpretations may differ from their own.

Students cannot always predict what another person will say.

They may need to reconsider their assumptions in real time.

That uncertainty is part of the educational value.

Universities can therefore provide something difficult to replicate through automated information delivery: sustained interaction among people with different knowledge, backgrounds, disciplines, and experiences.

Who This Affects

The most immediate audience is the university’s autumn entering class.

UTokyo states that more than 500 students typically enroll annually through programs accepting autumn entrants, with many students coming from outside Japan.

That makes the autumn matriculation system an important component of the university’s internationalization strategy.

Faculty members are also affected.

If universities increasingly emphasize inquiry, dialogue, analysis, and intellectual judgment, course design may need to shift accordingly.

Assignments built primarily around reproducing information may become less meaningful if AI can generate similar outputs instantly.

Faculty may increasingly rely on research projects, oral examinations, presentations, laboratory work, collaborative inquiry, authentic problem-solving, and assignments requiring students to explain their reasoning.

Curriculum designers and university leaders face similar questions.

AI affects not only academic integrity but also what universities consider meaningful evidence of student learning.

Why Autumn Admission Matters in Japan

Japan traditionally begins its academic year in April.

The University of Tokyo explains that autumn matriculation has been introduced in selected programs partly to respond to globalization and expectations from the international academic community.

Programs accepting autumn entrants include English-language undergraduate pathways and a range of graduate programs.

The university states that many autumn entrants come from countries outside Japan.

That calendar flexibility can reduce one barrier to international mobility.

Students graduating from universities or secondary schools operating on different academic calendars may find it easier to transition into programs that do not require waiting until the following April.

Autumn entry therefore supports UTokyo’s broader international profile.

Internationalization and Intellectual Diversity

Internationalization is often measured by counting foreign students, exchange agreements, or courses offered in English.

Those indicators matter, but the deeper educational value comes from interaction.

Students educated in different systems may approach problems differently.

They may have different assumptions about government, business, technology, family, language, ethics, or education itself.

A university can benefit from those differences when students have opportunities to engage meaningfully rather than simply studying alongside one another.

Kunibe’s emphasis on encountering different perspectives fits directly into that goal.

Internationalization matters educationally when exposure to difference changes how students think.

What This Does Not Mean

The October 1 ceremony did not introduce a new University of Tokyo AI policy.

It did not establish a new mandatory artificial-intelligence course.

It also did not prohibit students from using generative AI.

The speakers’ comments should be understood as educational guidance rather than a formal regulatory framework.

The ceremony also does not mean the university is abandoning traditional academic knowledge in favor of generalized critical thinking.

Students cannot evaluate sophisticated information without a foundation of knowledge.

Critical thinking requires something to think critically about.

A student who lacks sufficient knowledge of biology, law, economics, engineering, history, or another field may struggle to recognize when an AI response is incomplete or misleading.

The stronger interpretation is therefore that foundational knowledge and higher-order reasoning must develop together.

The Japan Higher-Education Context

Japan’s universities are navigating several pressures simultaneously.

Demographic decline is reducing the traditional domestic college-age population.

Universities are trying to strengthen international recruitment.

Institutions are considering how to use artificial intelligence without undermining academic integrity.

Employers increasingly expect graduates to work across cultures and use emerging technologies.

Japanese higher education must therefore balance continuity with adaptation.

Universities still need to preserve rigorous academic disciplines, research quality, and intellectual independence.

At the same time, the environment in which students learn is changing quickly.

UTokyo’s October 1 ceremony captures part of that transition.

The Bigger Picture

Artificial intelligence may eventually force universities to explain their purpose more clearly than they have in decades.

If the central purpose of higher education were simply transferring information from an expert to a student, digital technology could perform an increasing share of that work.

Universities offer something broader.

They provide structured environments for research, debate, mentorship, experimentation, feedback, collaboration, and exposure to people who think differently.

They also create spaces where students can learn how knowledge itself is produced.

That may become increasingly valuable as society gains access to systems capable of producing convincing answers without always making the limitations of those answers obvious.

Students need to understand not only what an answer says but how reliable knowledge is established.

What Happens Next

The incoming students will now move from ceremony into coursework, laboratories, seminars, research projects, student organizations, internships, and relationships across the university.

That is where the principles emphasized during matriculation will be tested.

Faculty members will continue confronting practical questions about AI use in assignments and assessment.

Students will need to determine when AI supports learning and when it replaces the intellectual work they are supposed to develop.

University leaders will also continue balancing internationalization, technological change, research priorities, and Japan’s changing demographic environment.

Why This Matters

The easiest reaction to generative AI in higher education is to focus entirely on cheating.

Academic integrity matters, but the larger question is more fundamental.

What should an educated person be able to do when information is abundant and machines can generate plausible answers instantly?

The October 1 messages from the University of Tokyo point toward one answer.

Students need knowledge, but they also need judgment.

They need to engage with people who disagree with them.

They need to identify assumptions.

They need to examine uncomfortable evidence.

And they need to learn how to ask questions that reveal something important rather than simply producing convenient answers.

Those capacities may become central to the value of higher education in the AI era.

Key Takeaways

  • The University of Tokyo held its autumn matriculation ceremony October 1, 2026.
  • The ceremony took place at Yasuda Auditorium on the Hongo Campus.
  • It was conducted in English and livestreamed online.
  • President Teruo Fujii emphasized dialogue and the value of in-person intellectual interaction.
  • UTokyo Alumni Association President Takeshi Kunibe discussed AI, information environments, and the importance of asking better questions.
  • UTokyo uses autumn entry in selected undergraduate and graduate programs as part of its internationalization strategy.
  • The ceremony did not establish a new AI rule or national education policy.
  • The broader educational message emphasized judgment, intellectual curiosity, diverse perspectives, and critical inquiry.

Frequently Asked Questions

When was the University of Tokyo autumn matriculation ceremony held?

The 2026 ceremony was held October 1 at 10 a.m. at Yasuda Auditorium.

Was the ceremony conducted in Japanese or English?

The University of Tokyo states that the autumn matriculation ceremony was held in English.

Who is eligible for the autumn ceremony?

For 2026, the university identified students newly enrolled between April 2 and October 1 as eligible.

Why does UTokyo have autumn admission?

The university says selected autumn-entry programs help respond to globalization and align more closely with expectations from the international academic community.

Was a new AI policy announced?

No. AI was discussed as part of broader remarks about information, critical thinking, and question formation, but the ceremony did not create a new university AI regulation.

What was the main educational message?

Speakers emphasized dialogue, engagement with diverse perspectives, intellectual curiosity, and the importance of asking strong questions in an environment where AI can increasingly generate answers.

Final Thoughts

The University of Tokyo’s October 1 ceremony offered a useful contrast to the most common debate about artificial intelligence in education.

Instead of asking only whether students should use AI, the ceremony raised the more important question of what students should learn to do that technology cannot simply provide for them.

One answer is better judgment.

Another is deeper dialogue.

A third is the ability to recognize when the question itself needs to change.

As artificial intelligence becomes more capable, those human intellectual skills may become more—not less—important.

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Sources

https://www.u-tokyo.ac.jp/focus/en/articles/z1301_00070.html

https://www.u-tokyo.ac.jp/en/current-students/autumn-matriculation.html

https://www.u-tokyo.ac.jp/ja/students/events/b_message2026_13.html

https://www.u-tokyo.ac.jp/en/whyutokyo/autumn_matriculation.html

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Cameron

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Cameron

Founder of New To Education, building a global platform connecting education, business, and opportunity.

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