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 :

Three ways to avoid being fooled by AI slop

  24 Jun 2026
Global society makes billions of images and uploads hundreds of thousands of hours of video on the internet every day. The problem is, some of this content is misleading or downright wrong.

Engineering Out Loud: S13E1 – How many robots can a single human supervise?

  22 Jun 2026
Professor Julie Adams describes the research showing that one person can supervise more than 100 autonomous ground and aerial robots.

Everything, eco-where, AI at once?

Laura Martinez Agudelo builds on her research of visual representations of ecology and digitalisation to explore how "AI eco-imagery" is portrayed.

AI is making journalistic language more repetitive and predictable – and it’s a problem for all of us

  17 Jun 2026
What happens to language when a growing amount of text published in the press, online and on social media is written by machines?
monthly digest

AIhub monthly digest: June 2026 – biodiversity, resource allocation, and color metaphors

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

AAAI presidential panel – AI agents

  15 Jun 2026
Experts discuss AI agents, one of the topics covered in the AAAI Future of AI Research report.

Interview with AAAI Fellow Tanya Berger-Wolf: AI for ecology, biodiversity, and conservation

  11 Jun 2026
Find out about Tanya work on a foundation model for biology and the insights that this can provide.

Statistical or embodied? Comparing people and LLMs in their processing of color metaphors: an interview with Douglas Guilbeault

  09 Jun 2026
We learn what implications color metaphors and synaesthesia have for human and AI cognition.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence