The first case study: Using AI to classify emergency calls

A fair amount of research, specifically research concerning GDPR and AI Act law, is required for the assignment. But as I’ve been working on this over the past few weeks, I see the value in using a multidisciplinary approach to complex issues. Real-life challenges often aren’t one-dimensional (i.e., purely legal) and have adjacent ethical and policy issues. Thinking about a problem through multiple lenses, instead of relying on simplification or reductionist techniques, has been one of the biggest takeaways from the case study. One of the most useful tools I’ve discovered is interpreting issues through three different lenses to understand their underlying nature: Legal, Policy, and Ethics. Below is snippet from the case study.

The Thames Valley Police seeks your team’s advice. It would like to start recording all incoming calls, as well as to use the few existing recorded calls it has on file, with a view to (1) creating call categories so that it can (2) build a machine-learning model to predict and better triage the public’s demand for its services.