ΑΙhub.org
 

How to avoid hype when promoting your AI research

by
25 October 2021



share this:
microphone in front of a crowd

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:

1. Be specific about the science and achievements

What problem is your research trying to solve? Provide context.

2. Don’t make exaggerated claims

Try to avoid unnecessary superlatives such as: “general, best, first” unless you can provide supporting context.

3. Be clear about the limitations of your experiments

Did your demonstration require external instruments that made the real world “more digital” (for example, external sensors/motion capture)?

4. Explain how things work

What data was used, what type of algorithms, what hardware? Be upfront about the computational cost.

5. Has your research been validated by the community?

Does the community support your findings, through peer-reviewed research or other means?

6. Make your headline catchy but accurate

Prioritise scientific accuracy.

7. Keep any debates scientific

Don’t bring personalities/personal attacks into the debate.

8. Don’t anthropomorphize

Avoid anthropomorphism unless the subject of the research is people.

9. Use relevant images

Use images from your research to illustrate your news. Avoid generic or stereotypical AI images (such as imaginary robots from science fiction).

10. Be open and transparent

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.



tags: ,


AIhub is dedicated to free high-quality information about AI.
AIhub is dedicated to free high-quality information about AI.




            AIhub is supported by:


Related posts :



Training AI requires more data than we have — generating synthetic data could help solve this challenge

The rapid rise of generative AI has brought advancements, but it also presents significant risks.
26 July 2024, by

Congratulations to the #ICML2024 award winners

Find out who won the Test of Time award, and the Best Paper award at ICML this year.
25 July 2024, by

#ICML2024 – tweet round-up from the first few days

We take a look at what participants have been getting up to at the International Conference on Machine Learning.
24 July 2024, by

International collaboration lays the foundation for future AI for materials

Presenting an extended version of the Open databases integration for materials design (OPTIMADE) standard.
23 July 2024, by

#RoboCup2024 – daily digest: 21 July

In the last of our digests, we report on the closing day of competitions in Eindhoven.
21 July 2024, by




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association