ΑΙhub.org
 

Science communication for AI researchers: our tutorial at #AAAI2023


by
02 February 2023



share this:
microphone in front of a crowd

We’re pleased to announce that we will be giving a tutorial on science communication for AI researchers at AAAI this year. This will be held in person on Wednesday 8 February (08:30-12:30). If you are attending the conference and fancy finding out how you can communicate your research to a general audience in different formats, then please do join us. The course will be hands-on, so you will need to come prepared with some research in mind that you’d like to communicate about.

About the tutorial

One of the challenges facing the field of AI is its portrayal in the media, which leads to misconceptions among policy makers, business leaders, and the general public alike. By communicating about AI in a clear, informed, and measured manner we can help to combat the flow of misinformation and convey the reality of today’s technology.

We will guide participants on how to quickly shape the story of their AI research. We’ll focus on how to structure this research story to form a blog post. Participants will learn how to explain their research to a general audience in a clear and concise manner. We will also touch on how to find suitable images and how to avoid hype when promoting research.

Agenda

  1. The importance of AI communication.
  2. Different ways of doing science communication.
    • There are many ways to communicate your work, ranging from social media to long-form articles. We will cover a few of these. For those that do not feel comfortable communicating their work themselves, we’ll guide you on how to best reach out to science communicators who may be able to share your research story for you.
  3. Finding your story.
    • How to produce a short summary of your research: we will take a step-by-step, guided approach to show you how to build a structured outline of your research story. This outline of the key points of a research story could be used to communicate work on a social media platform, such as Twitter.
    • How to expand your outline to write a complete post: the next step is to expand the structured outline to form a complete post. We’ll give guidance, with worked examples, on how to do this.
  4. How to find and use suitable images.
    • Articles about AI in the media tend to be accompanied by images of blue brains, white robots, and flying maths, usually completely unrelated to the content being reported. We will guide on how to source, use, and credit suitable AI images to accompany your work.
  5. How to avoid hype when communicating your research.
    • 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. We will present some guidelines on how you can best avoid the hype when promoting your work.
  6. Unconventional science communication.
    • Exploring different ways of doing science communication.

If you’d like to find out more, contact Lucy Smith at aihuborg[at]gmail.com, or see our tutorial webpage.



tags: ,


Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Report on foundation model impacts released

  06 May 2026
Partnership on AI publish a progress report on post-deployment governance practices.

Forthcoming machine learning and AI seminars: May 2026 edition

  05 May 2026
A list of free-to-attend AI-related seminars that are scheduled to take place between 5 May and 30 June 2026.

AI for Science – from cosmology to chemistry

  01 May 2026
How AI is transforming science, from a day conference at the Royal Society
monthly digest

AIhub monthly digest: April 2026 – machine learning for particle physics, AI Index Report, and table tennis

  30 Apr 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

The Machine Ethics podcast: organoid computing with Dr Ewelina Kurtys

In this episode, Ben chats to Ewelina about the uses of organoids and energy saving computing, differences between biological neurons and digital neural networks, and much more.

#AAAI2026 invited talk: Yolanda Gil on improving workflows with AI

  28 Apr 2026
Former AAAI president on using AI to help communities of scientists better streamline their research.

Maryna Viazovska’s proofs of sphere packing formalized with AI

  27 Apr 2026
Formalization achieved through a collaboration between mathematicians and artificial intelligence tools.

Interview with Deepika Vemuri: interpretability and concept-based learning

  24 Apr 2026
Find out more about Deepika's research bridging the gap between data-driven models and symbolic learning.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence