I’m a big believer in the potential for AI to amplify human thought rather than substituting for it. To get the most satisfaction out of these models, I think a human operator should train the system, starting small and not trying to do too much initially. We’re seeing early examples, such as GitHub’s Copilot, which takes natural language text and turns it into usable code. If you don’t like the suggestion, you just get rid of it.
These kinds of interactions are very productive. But we still need to figure out which user experience patterns are most successful when humans and machines work together on tasks. ServiceNow is partnering with the company Hugging Face on the BigCode project, which seeks to responsibly develop large language models that will serve as the basis for future code-generation applications.
The ability for the user to get quick feedback from the machine and the machine to learn from the human in real time will be key for the success of such systems.