To prevent humans from becoming mere rubber stamps for code, we must implement strict "human-in-the-loop" requirements. In medicine, an algorithm might suggest a diagnosis, but a doctor must retain the final authority to override it. This ensures that clinical intuition and patient empathy—things code cannot replicate—remain part of the process. Without this veto power, professional responsibility vanishes.
Transparency serves as the next pillar. If a judge uses a risk assessment tool to set bail, the defense must be able to examine how that tool reached its conclusion. We cannot allow "black box" logic to dictate life or liberty. People deserve to know the reasoning behind decisions that change their lives. If an algorithm remains indecipherable, it cannot be ethically used in high-stakes settings.
Finally, we need constant auditing. Systems drift over time as they ingest new data, often picking up human biases. Regular, independent reviews can catch these errors before they cause widespread harm. We should treat these tools like medical devices or legal precedents: they require continuous monitoring to ensure they serve people rather than just optimizing for mathematical patterns.
