The applicant should own the final choice. AI can help organise research and narrow options, but it should not make the final decision or replace the applicant's responsibility for checking evidence. The useful division is straightforward: AI helps build and organise a shortlist; the applicant sets the priorities, verifies the information, and makes the selection.
Start with priorities before narrowing options
A source-backed principle is to define priorities before narrowing options. Applicants should identify the factors most important to them first; a tool can then help organise the search around those factors. AI may record, group, or compare criteria, but it should not decide which factor matters most or how a trade-off should be resolved.
Use filters to narrow, not to decide
A cited course finder can filter results by field of study, location, and course fees. These filters can make a broad search more manageable, but they do not by themselves establish that an option fits the applicant's academic, financial, or personal requirements. A filter narrows the list; the applicant still has to interpret the results and choose.
Separate assistance from ownership
A practical research workflow can divide the work this way:
| Research stage | AI can help with | The applicant must own |
|---|---|---|
| Priority definition | Organising broad interests into search criteria | Deciding which factors matter most and which trade-offs are acceptable |
| Option narrowing | Grouping results and applying filters such as field, location, and course fees | Checking whether each filter reflects the intended plan |
| Evidence checking | Summarising claims and highlighting gaps | Inspecting the underlying source and resolving conflicts |
| Final selection | Organising a shortlist for review | Making the final choice and deciding what happens next |
What the applicant must still confirm
The cited material does not verify an individual course's fee, deadline, entry requirement, or application rule. Before making the final choice, the applicant should confirm:
- the priority order and any non-negotiable constraints;
- the field, location, fees, dates, entry requirements, and application procedures for every shortlisted course;
- the original source and the latest available information for each material claim; and
- whether the remaining trade-offs are acceptable.
If a detail cannot be verified, it should remain marked as unknown rather than be inferred from an AI summary. Until those checks are complete, the output is a research aid, not a final recommendation.