Read this research overview here. The original coursework essay will be added to the site once its source file is available.
Research question
How should law respond when an AI system fails because of training quality, architecture, overfitting, underfitting or poor generalisation?
The argument
AI error is not a single event detached from design. Liability analysis must be able to examine training data, architecture, testing, known limitations, error rates and deployment decisions.
Approach
Technical reading of neural-network design and training connected to standards of care, accountability and legal responsibility.
Why it matters
AI assurance, model risk, product safety, procurement standards and regulatory duties for high-impact systems.
This is an on-site research overview drawn from the MA portfolio, not the full original essay. Collaborative work is marked as group research.