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




            AIhub is supported by:


Related posts :



Watch the sessions from AI UK

The recordings of the sessions from the AI UK conference are now available for all to watch.
16 May 2022, by

Launch of a new standard for AI security in Singapore

The standard aims to guide AI practitioners in dealing with malicious attacks on AI systems.

Using deep learning to predict physical interactions of protein complexes

A computational tool developed to predict the structure of protein complexes is providing new insights into the biomolecular mechanisms of their function.
podcast

New voices in AI: human-AI collaboration, with Nicolo' Brandizzi

We talk to Nicolo' Brandizzi about his work on human-AI collaboration.
11 May 2022, by

ACM SIGAI Industry Award 2022 nominations

Find out how you can make a nomination for the ACM SIGAI Industry Award - deadline 31 May 2022.
10 May 2022, by

Forthcoming machine learning and AI seminars: May 2022 edition

A list of free-to-attend AI-related seminars that are scheduled to take place between 9 May 2022 and 30 June 2022.
09 May 2022, by





©2021 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association