ΑΙhub.org
 

An introduction to science communication at #NeurIPS2023


by
28 November 2023



share this:
microphone in front of a crowd

We’re pleased to announce that we will be giving a short introduction to science communication for AI researchers at NeurIPS this year. This will be held in person on Monday 11 December from 12:45. 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. Following an hour-long introductory talk, there will be an optional, open, drop-in session where you can try out some of the things you learnt in the course, ask any sci-comm questions, and chat about your ideas and stories.

Timetable:

  • 12:45 – 13:45 Talk: science communication for AI researchers – introductory training
  • 14:00 – 16:00 Open drop-in session for one-on-one support

Location: Room 235/236, New Orleans Ernest N. Morial Convention Center.

About the session

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.
  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.
    • 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.
    • 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.

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



tags: ,


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




            AIhub is supported by:


Related posts :



Generative AI is already being used in journalism – here’s how people feel about it

  21 Feb 2025
New report draws on three years of interviews and focus group research into generative AI and journalism

Charlotte Bunne on developing AI-based diagnostic tools

  20 Feb 2025
To advance modern medicine, EPFL researchers are developing AI-based diagnostic tools. Their goal is to predict the best treatment a patient should receive.

What’s coming up at #AAAI2025?

  19 Feb 2025
Find out what's on the programme at the 39th Annual AAAI Conference on Artificial Intelligence

An introduction to science communication at #AAAI2025

  18 Feb 2025
Find out more about our forthcoming training session at AAAI on 26 February 2025.

The Good Robot podcast: Critiquing tech through comedy with Laura Allcorn

  17 Feb 2025
Eleanor and Kerry chat to Laura Allcorn about how she pairs humour and entertainment with participatory public engagement to raise awareness of AI use cases

Interview with Kayla Boggess: Explainable AI for more accessible and understandable technologies

  14 Feb 2025
Hear from Doctoral Consortium participant Kayla about her work focussed on explanations for multi-agent reinforcement learning, and human-centric explanations.

The Machine Ethics podcast: Running faster with Enrico Panai

This episode, Ben chats to Enrico Panai about different aspects of AI ethics.

Diffusion model predicts 3D genomic structures

  12 Feb 2025
A new approach predicts how a specific DNA sequence will arrange itself in the cell nucleus.




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association