The big picture
IB splits everything into External (IB-marked) vs Internal (teacher-marked + IB-moderated). That split is not the same as supervised vs open. Example: a DP Arts portfolio can be External but still 100% open; a language oral is Internal but fully supervised.
DP at a glance – supervised vs open
Supervised = timed written paper + live oral / live performance. Open = coursework over weeks/months, even if teacher-guided. Assumes students use AI where they can.
| Subject | Supervised / Open | Split | Verdict |
|---|---|---|---|
| Biology / Chemistry / Physics SL·HL | 80 / 20 – P1 36% + P2 44%; IA investigation 3,000 words | robust anchor | |
| Maths AA / AI SL·HL | 80 / 20 – P1+P2 (+P3 HL 20%); Exploration | robust anchor | |
| Economics / Business / Global Politics / Digital Society | SL 70/30, HL 80/20 – IA portfolio / project | robust anchor | |
| History / Geography / Philosophy (SL) | 75/25 – IA investigation / fieldwork | robust anchor | |
| Psychology new 2027 (SL) | 70/30 – IA = proposal only | IA fragile | |
| Language A Lit / Lang & Lit SL | 100/0 – P1 35 + P2 35 + oral 30 | very robust | |
| Language A HL | 80/20 – HL essay open | robust | |
| Language B / ab initio | 100/0 – writing + listening/reading + oral | very robust | |
| Classical Languages | 80/20 – dossier open | robust | |
| Literature & Performance SL | 70/30 – live performance saves it | mixed | |
| Computer Science SL / HL | SL 70/30, HL 80/20 – 35h solution open | IA fragile | |
| Design Tech SL | 60/40 – 40h project | most open exam subject | |
| ESS SL / SEHS | 75/25 (HL 80/20) | robust anchor | |
| Visual Arts / Film / Music / Theatre / Dance | 0/100 – portfolio + video, no timed paper | fully exposed | |
| TOK / Extended Essay / CAS | 0/100 – essay / exhibition / project | fully exposed |
HL is usually more supervised than SL (extra paper). Exception: Social & Cultural Anthropology HL 75/25 vs SL 80/20. Design Tech SL has the largest open share of any exam subject (40%).
MYP at a glance
100% supervised on-screen (2h, external)
- Language & Literature
- Individuals & Societies
- Sciences (Bio/Chem/Phys/Integrated)
- Mathematics
- Interdisciplinary Learning (mandatory for certificate)
Secure browser, rich media, simulation tasks. AI-proof if phones are out.
100% open ePortfolio (teacher + moderated)
- Arts
- Physical & Health Education (+3-min video)
- Design (design folder A–D)
- Personal Project (~25h, mandatory)
Highly AI-exposed without process evidence + defence.
Hybrid: Language Acquisition – on-screen listening/reading/writing ~75% + moderated live speaking ~25%.
How well does it hold up with AI?
1. Robust – supervised exams & live orals
70–100% of most DP exam subjects + 5 MYP subjects. Timed papers, unseen sources, no internet, plus 10–15 min orals with follow-up questions. A teacher can probe understanding in a way AI cannot fake. Keep these offline and phone-free – they are the validity anchor.
2. Fragile – open IAs worth 20–30%
Science investigations, Maths explorations, Econ commentaries, History investigations, Business projects, CS solutions, DT projects, Geography fieldwork. AI drafts RQs, cleans data, writes analysis, debugs code – exactly the Conclusion/Evaluation marks (often 50% of IA). Does not collapse the diploma (80% exam anchors it) but inflates 1–2 grade boundaries and rewards AI fluency.
3. Very exposed – 100% open
TOK essay/exhibition, EE, all DP Arts, MYP ePortfolios + Personal Project. Pure take-home prose/portfolios are LLM-native tasks. Citation rules don’t solve paraphrased drafting. Practical/video parts (playing, performing, making) are better than written rationales – embodiment is harder to fake – but artist statements and comparative studies are easily polished.
What schools should do now
- Viva everything open. No IA / EE / TOK / portfolio passes without a 10-minute oral defence. Fail incoherent explanation, not polished prose.
- Witness the process. RQ approval in class, data collection witnessed, first draft started in class, commits/photos/rehearsal video required.
- Traffic-light AI rules per task. Green: brainstorm/grammar with disclosure + bibliography entry. Red: no AI in supervised work. Teach bias-checking as ATL skill.
- Weight supervised work locally. IB final weights are fixed, but predicted grades and internal reports can overweight supervised formatives.
- Design for AI. Prefer personal/local data, live sources, in-class stimuli; assess decisions and revisions, not just final polish.
IB policy reference: IB will not ban AI; AI use must be credited; school must authenticate work as the student’s own; human examiners remain (IB AI in learning, teaching and assessment).
Bottom line
DP and MYP survive AI because the supervised core survives – roughly three-quarters of most subjects. The open layer (20–30% IAs, plus 100%-open core, Arts, and MYP portfolios) does not survive as pure take-home product. Assume AI was used there, and assess what AI cannot do for the student: explain live, show process, defend choices.