MUNESCO 2026 | Paris 2026-12-09 | 2026-12-09 | mymun

Conference

Online

Dec 9-10, 2026

€10.00

200 delegates expected

University Students

Applications

Chairs

Aug 2 - Nov 30, 2026

Delegates

Aug 1 - Dec 2, 2026

Head Delegates

Aug 1 - Dec 2, 2026

Faculty Advisor

Aug 1 - Dec 2, 2026

Observers

Aug 1 - Dec 2, 2026

Operationalizing the Ethical Usage of Artificial Intelligence

Model UNESCO on the Ethics of AI is the formal Model United Nations component of the Global Youth Forum on the Ethics of AI. It is a one-day, six-committee simulation held entirely inside UNESCO Headquarters, in which 250 young delegates from across the 194 Member States debate, draft, and adopt a Youth Resolution on the Operationalisation of the UNESCO Recommendation on the Ethics of Artificial Intelligence.

The Recommendation, adopted in November 2021, is the first global standard on AI ethics. It is binding on the 194 Member States and is anchored on four core values, ten operational principles, and eleven policy action areas. The Model UNESCO takes the Recommendation as its working text. Every draft resolution tabled in any committee must cite the Recommendation by paragraph number. A resolution that does not cite the Recommendation is out of order. This is the rule that makes the Model UNESCO different from a generic MUN: the substance of the debate is the substantive text of an actual international instrument.

The Model UNESCO follows a simplified but faithful version of THIMUN procedure. Speakers speak from a published list. Points of order, points of information, and points of personal privilege are recognised by the Bureau. Draft resolutions are tabled clause by clause. Amendments are voted on in reverse order. A simple majority suffices for procedural votes. A two-thirds majority is required for substantive votes on the final Resolution. The timer is visible to every delegate. The clock governs the day.

 

Committees

Data Governance: data trusts, biometric mass surveillance, and the boundaries of informed consent
Environment and Ecosystems: mandatory environmental impact assessment for frontier AI
Gender Equality: closing the gendered AI divide, from literacy to leadership
Education and Research: Operationalising AI literacy in low-bandwidth settings
Data Governance: data trusts, biometric mass surveillance, and the boundaries of informed consent
Environment and Ecosystems: mandatory environmental impact assessment for frontier AI
Gender Equality: closing the gendered AI divide, from literacy to leadership
Education and Research: Operationalising AI literacy in low-bandwidth settings
Difficulty

Intermediate

Size

50 Spots

Difficulty

Expert

Size

51 Spots

Difficulty

Intermediate

Size

52 Spots

Difficulty

Beginner

Size

50 Spots

Description

The Recommendation Anchor is §32 through §35, covering the right to privacy, the conditions under which data may be collected and used to train AI systems, the responsibility of AI actors, and the est...

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Description

The Recommendation Anchor is §17 and §18, the two paragraphs on environment and ecosystem flourishing and the obligation to reduce the environmental impact of AI systems, including their carbon footpr...

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Description

The Recommendation Anchor is §41 through §43, the three paragraphs on awareness and literacy, public understanding of AI, and AI ethics training. The committee debates the design of mother-tongue AI l...

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Organizers

Nishchal BaniyaProfile Picture

Nishchal Baniya
Chairman, Board of Directors at Bagmati UNESCO Club

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