A small game study with children ages 8-10 found that the style of an AI helper went with how children checked it. Some asked the helper questions; others sought evidence. The study does not show that one style improves classroom learning.
ImpactBench checks AI responses against 809 measures drawn from 26 tests. Across 48,540 simulated talks with teens and adults, its model evaluations scored better on encouraging helpful behavior than on avoiding harm. These are test results, not measured effects on real people.
Kolab draws on over 115 hours of recordings from 50 professionals to test AI help in longer jobs. The tested models often rated their own teamwork too highly. A finished task does not show which AI suggestions a person used, changed, or rejected.
WIRED reports on eight comedians whose clips were copied by accounts presenting AI-made performers. A label on the performer may tell viewers the face is synthetic. It does not tell them who wrote the joke. These are reported cases, not a court ruling.
In a 56-person video-question study, people most often said they would use AI with a check next time. High trust could go with that choice. The study looks at intended next steps, not proof that people will always follow through.
Zvi Mowshowitz questions advice to put a credit-card photo into an AI chat and let it buy something. His point is about the missing check before payment: what item, price, seller, and final permission did the buyer approve? This is commentary, not a study of failed payments.