You're a Healer (GHDA): You care about people. You see people's needs and try to meet them. You understand that systems often fail the vulnerable. In public service, you're about to see acceleration of that problem as systems get automated.
Here's what's happening: Government is automating service delivery. Eligibility determination, benefit processing, case management decisions are all moving to AI systems. This is efficient. It's also dangerous when it's wrong because vulnerable populations have the least ability to fight back.
AI systems make mistakes systematically. They misclassify based on training data biases. They miss edge cases. They don't understand context that a human would catch instantly. When an AI system makes a mistake about who's eligible for welfare, that's not an inconvenience—that's a person without food. When it misclassifies risk in child protective services, that has real stakes.
Your superpower is understanding people. You can see when something isn't right even if the data says it is. You can understand context—the person isn't applying for housing because they're lazy, they're applying because they fled domestic violence and the AI that doesn't know about DV sees a eviction history and marks them as high-risk. You can advocate for people who can't advocate for themselves.
The role that's emerging is increasingly critical: Human interpreter. The person who understands what an automated decision means for a real person, whether it's right, whether it makes sense. The person who can say "the system says no, but here's why that's wrong." The person who prevents automated systems from harming vulnerable people.
Your concrete advantage: You understand the gap between what systems say and what's actually fair. You can see when automation is efficient but wrong. You can advocate effectively. You can document cases where the system fails and push for change. You can make sure that automation doesn't sacrifice the people who most need human judgment.
The specific play: Position yourself as the advocate and interpreter. Learn the systems well enough to understand when they fail. Learn to appeal and override decisions when they're wrong. Build a track record of catching system errors and forcing fixes. Become invaluable because you prevent the disasters that automated systems create.
"Automated systems are efficient. That's not the same as fair. Someone needs to be on the side of the people the system harmed."