ΑΙhub.org
#IJCAI panel on communicating about AI with the public
Science communication is an invaluable skill for researchers. It can help demystify AI for a broad range of people including policy makers, business leaders, and the public. In a panel session at the 33rd International Joint Conference on Artificial Intelligence (IJCAI-24), Michael Wooldridge and Toby Walsh talked with Peter Stone about lessons they’ve learnt from communicating about AI with different audiences. They gave advice on how to talk to media, how you should tailor your communication for various audiences, and how to tackle different methods of communication. They drew on their personal experiences to provide hints and tips for anyone thinking about engaging in outreach.
You can watch the recording here.
tags: IJCAI, IJCAI2024
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 :
Identifying interactions at scale for LLMs
BAIR blog
10 Apr 2026
Model behavior is rarely the result of isolated components; rather, it emerges from complex dependencies and patterns.
Interview with Sukanya Mandal: Synthesizing multi-modal knowledge graphs for smart city intelligence
AIhub
09 Apr 2026
A modular four-stage framework that draws on LLMs to automate synthetic multi-modal knowledge graphs.
Emergence of fragility in LLM-based social networks: an interview with Francesco Bertolotti
Ella Scallan
08 Apr 2026
Francesco tells us how LLMs behave in the social network Moltbook, and what this reveals about network dynamics.
Scaling up multi-agent systems: an interview with Minghong Geng
Lucy Smith
07 Apr 2026
We sat down with Minghong in the latest of our interviews with the 2026 AAAI/SIGAI Doctoral Consortium participants.
Forthcoming machine learning and AI seminars: April 2026 edition
Lucy Smith
02 Apr 2026
A list of free-to-attend AI-related seminars that are scheduled to take place between 2 April and 31 May 2026.
#AAAI2026 invited talk: machine learning for particle physics
Lucy Smith
01 Apr 2026
How is ML used in the search for new particles at CERN?
monthly digest
AIhub monthly digest: March 2026 – time series, multiplicity, and the history of RoboCup
Lucy Smith
31 Mar 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King
Ella Scallan
30 Mar 2026
We launch our new series with a conversation with Ross King - a pioneer in the field of AI-enabled scientific discovery.
