"AI is the decision support. The human is the decision maker. Those are different jobs. The AI surfaces information, surfaces risk, surfaces patterns a person couldn't find alone. The human takes that and decides what to do."
"Most AI products in legal, healthcare, and criminal justice contexts are violating that contract by design. They were built around making AI output look good and feel fast, and then a human approval step was added."
"Decision support means the AI's job is to make the human's judgment better: surfacing what they couldn't see alone, flagging what they might miss, organizing what would otherwise take days into something they can actually work with."
"For that to work, the human has to be in a real position to evaluate what they're looking at. Not technically present. Not nominally responsible. Actually equipped to engage with the evidence, form a view, and own the outcome."
AI serves as decision support, providing information and insights, while humans are responsible for making decisions. Many AI products in critical fields like legal and healthcare do not adhere to this principle. Instead, they prioritize appealing outputs and quick results, leading to a misalignment where AI appears to make decisions, transferring liability to humans. Effective decision support requires humans to be genuinely equipped to evaluate AI-generated evidence and make informed choices, which is often not the case in current product designs.
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