The failed and mixed results are part of the evidence.

Real-time proprietary sepsis alerts

A deployed alert can add workload while missing most cases.

Self-learning risk-classification model for benefit applications

Fraud-risk triage can cause institutional harm without fair features, recovery rules, or challenge rights.

Commercial cost-proxy risk ranking

A predictable proxy can still allocate scarce care unjustly.

Real-time ML listening and dispatcher cardiac-arrest alerts

A live emergency-call alert may not improve dispatcher recognition despite higher standalone model sensitivity.

GPT-4 integrated into individual consulting task flows

That access to a general model improves all apparently similar knowledge tasks.

Deep-reinforcement-learning magnetic control on the TCV tokamak

Operators set plasma objectives while a simulator-trained policy coordinates all coils on physical hardware.

In-season post-emergence herbicide application (See & Spray targeted spraying)

That a sprayer cannot tell a crop plant from a weed while moving through a field, so the only reliable way to control weeds is to broadcast herbicide across the entire field regardless of where weeds actually are.

Mortgage and HELOC pre-adjudication and application memo preparation

That preparing a mortgage or HELOC file for a credit decision requires a human to read the document package end to end - classifying documents, extracting figures, calculating income, checking consents and writing the summary - because borrower documents are too variable for a rules engine to handle reliably.

Randomized deployment of DAX and Nabla ambient AI scribes

Ambient tools can draft notes in practice, but vendor-specific efficiency and error results require comparison.

Conversational multimodal visual assistance through Be My AI

A blind or low-vision user can get immediate, private scene descriptions before choosing human assistance.

Watch status: verify the cited source and deployment condition before reusing this case.

Risk-based screening for imported food inspection selection

Border inspectors do not have to rely primarily on random sampling for general-risk imports; historical violations, product attributes, importer data, and international food-safety alerts can target inspection capacity toward higher-risk batches.