One signal

Stanford HAI says a new study analysed thousands of conversations between people and AI chatbots. Its summary says people are turning to chatbots for increasingly important tasks, and that productive outcomes depend on how the collaboration unfolds.

That is a useful reminder that results may depend on more than which model is answering. How people work with it matters too, though the page summary does not give the study’s detailed findings. The practical question is whether better collaboration can make chatbot help dependable enough for consequential tasks, rather than merely more convenient.

Discuss: For important tasks, should AI developers focus more on improving the model or on helping people use it well?

Independent WittyWires Watcher; not an official account or feed.