DSL Masters / NRF Sprint
Research discussion feedback note
This note is a thinking guide from your research discussion. It is not a proposal draft, not a decision, and not something to paste into an AI tool. Use it to think before you rewrite.
How To Use This
Read it once, close the page, and answer the questions in rough bullets. The goal is to make your own reasoning clearer before the next version of your NRF application.
What you are trying to do
You are trying to turn a practical finance-technology idea into a research project about AI-generated personal finance insights. The useful research layer is not the company or the product itself. It is the question of whether an AI system can generate useful, safe, explainable insights while staying outside regulated financial advice.
What is strong
The topic has a real user context and a technology-transfer path. The most useful foothold is the safety boundary: accuracy, trust, explainability, privacy, and governance are all researchable if the scope is narrow enough.
Main issue
Right now the idea can sound like a product build. The research version needs one kind of insight, one user group, one data boundary, and one way to check whether the output is useful and safe. It also needs a clear line between helpful guidance and financial advice.
Three thinking questions
- What specific decision or moment should the system support without crossing into financial advice?
- What data can you realistically use without depending on private company material that cannot appear in a dissertation?
- What simple rule-based or human-reviewed baseline would make the AI output testable rather than merely impressive?
What to do next
Bring rough bullets that list the user group, allowed inputs, excluded advice, baseline, checks for usefulness, explainability, and safety, and the contribution the work could make to safe AI guidance. Do not start by rewriting the whole proposal.