Whether we’re talking about judicial decision making (e.g., “risk assessment scoring”) or modeling who is at risk for homelessness, algorithmic systems don’t simply cost money to implement. They cost money to maintain. They cost money to audit. They cost money to evolve with the domain that they’re designed to serve. They cost money to train their users to use the data responsibly. Above all, they make visible the brutal pain points and root causes in existing systems that require an increase of services.