SIAI Science Review

AI didn't cause these attacks, old unpatched systems did AI just made flaws faster to find Fix deployment, not the models Recent cyberattacks involving artificial intelligence have sparked calls for tighter control over AI models.

AI access helps only when workers can recognise system failure Task-specific learning can spread that supervisory capacity Delay will widen the divide between AI Haves and AI Have-Nots In a field experiment with 758 consultants,

AI raises output while weakening the junior talent pipeline Routine work builds judgment as well as products Firms must preserve human verification and unaided practice Early-career workers in the jobs most touched by generative AI

Socioeconomic environments shape how cognitive ability is expressed Stress, sleep, and opportunity influence developing brain function Rigorous education can cultivate causal and analytical reasoning Intelligence is often discus

Prediction prices as collective beliefs—not scientific probabilities Useful supplements to models and experts, but unreliable substitutes Non-monetary markets as laboratories for forecasting and human behaviour Predict

Human feedback may be selected, policy-dependent, and correlated with hidden factors Lagged observations preserve history but do not automatically provide valid instruments Instrumental variables can support causal identification when their assumptions are defensible