Beth

A machine-legible flow, on the other hand, is an adaptive traffic signal that changes based on real-time smartphone data.

Precisely.

So the city still functions, but you basically have to rely on your phone to tell you how it's functioning at any given second.

They note how aggregate data collection erodes privacy and autonomy one perfectly reasonable, highly convenient step at a time.

Right.

Which is that it actually works.

The performance games documented in the research are not just theoretical anymore.

These are places where the infrastructure doesn't just collect data and put it on a dashboard for a human to read.

The infrastructure actively makes decisions and executes them within certain policy constraints.

Exactly.

We do.

Look at Barcelona.

By shifting to AI managed public transport, they achieved a 10 percent increase in on time performance and a 15 percent reduction in passenger wait times.

New York City is taking live event streams to dynamically route emergency response vehicles and sanitation resources rather than relying on static traditional maps.

If we connect this to the bigger picture, we have to look at the equity angle.

When we talk about public systems, efficiency is a fundamental form of public service.

It's usually lower income residents who don't have the luxury of calling a private rideshare or using private health care alternatives.

She notes that certain smart city interventions are, in her words, no-brainers.

They are high on efficiency and low on privacy issues.

Right.