Evidence before hype
The Impact of AI follows the original evidence, separates observed effects from promises, and explains what each development means for people around the world.
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A concise weekday edition with direct links to the research, policy and reporting behind every claim.
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Start with the records
Every report carries a stable evidence record, confidence band, source dossier and the next question that still needs answering.
A peer-reviewed experiment converted nearly four million public chatbot interactions into cryptographic commitments and detected eight induced ledger manipulations. It is a promising integrity mechanism, not proof that a conversation is true, authorised or safe.
A 328,292-case US study found no significant predictive advantage for LASSO, XGBoost or random forest. Sepsis was rare, the best risk group still had low absolute incidence, and no model has external validation.
A peer-reviewed Brazilian study matched death, hospital and notification records with very high accuracy in one state. Its shared blocking-and-labelling pipeline means nationwide performance is still unproven.
Announcements remain announcements until independent evidence supports the outcome.
Impact records are designed to be updated as studies, incidents and real-world results arrive.
Coverage tracks geography, language, access and who benefits or bears the risk.
The Impact Tracker
Follow claims as their evidence changes instead of losing yesterday’s promises in today’s news cycle.
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