Hype around AI sets inflated expectations about the technology, drives unnecessary fears and detracts from the meaningful discussions that need to happen now, about the technology actually being developed today.
The AIhub trustees have compiled a handy guide to help you avoid hype when communicating your research. Here are their 10 tips:
What problem is your research trying to solve? Provide context.
Try to avoid unnecessary superlatives such as: “general, best, first” unless you can provide supporting context.
Did your demonstration require external instruments that made the real world “more digital” (for example, external sensors/motion capture)?
What data was used, what type of algorithms, what hardware? Be upfront about the computational cost.
Does the community support your findings, through peer-reviewed research or other means?
Prioritise scientific accuracy.
Don’t bring personalities/personal attacks into the debate.
Avoid anthropomorphism unless the subject of the research is people.
Use images from your research to illustrate your news. Avoid generic or stereotypical AI images (such as imaginary robots from science fiction).
Disclose conflicts of interest and/or funding especially if industry or personal interests are involved.
You can find all of the guidelines in this pdf document.