ΑΙhub.org
 

AI for good – global summit 2020


by
12 June 2020



share this:

The 2020 edition of the United Nations AI for Good Global Summit is in full swing and this year takes the form of a continuous virtual event. It features weekly programming across multiple formats, platforms and time-zones, including keynotes, expert webinars, project pitches, Q&As, performances, demos, interviews, networking and more.

The goal of the summit is to identify practical applications of AI and scale those solutions for global impact. There are many researchers focussing on work towards meeting the United Nations’ Sustainable Development Goals (SDGs), and AI could be a powerful tool in this quest.

Sustainable_Development_Goals
The UN’s sustainable development goals

Many of the webinars in the programme, including the first five in the series, covered COVID-19 research. You can view these past events by following the links:
COVID-19 Case Study: The use of ICT & AI to flatten the curve in the Republic of Korea
COVID-19: Using mobile phones & AI for contact tracing while respecting privacy
COVID-19: China’s digital health strategies against the global pandemic
COVID-19: Misinformation, disinformation and what to do about it
COVID-19: Where are the self-driving cars and trucks?
COVID-19: Combining crowdsourcing and AI to tackle the pandemic

Past webinars on other topics can be found at these links:
The future of us, AI + gender
The future of food, AI + food
The future of earth, AI + the environment
How AI impacts chess and the game of World Chess Champion Magnus Carlsen
Indigenous knowledge and AI

Forthcoming webinars include:
Can imaged-based AI meaningfully impact COVID-19 response in low resource settings?
AI-driving digital divides and the future of African economies
Global dialogue on e-sports
How to develop accountable AI solutions?
ACM Keynote: Using AI and mobile phones to overcome the pandemic

You can view the programme in full here.




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




            AIhub is supported by:



Related posts :



Memory traces in reinforcement learning

  12 Sep 2025
Onno writes about work presented at ICML 2025, introducing an alternative memory framework.

Apertus: a fully open, transparent, multilingual language model

  11 Sep 2025
EPFL, ETH Zurich and the Swiss National Supercomputing Centre (CSCS) released Apertus today, Switzerland’s first large-scale, open, multilingual language model.

Interview with Yezi Liu: Trustworthy and efficient machine learning

  10 Sep 2025
Read the latest interview in our series featuring the AAAI/SIGAI Doctoral Consortium participants.

Advanced AI models are not always better than simple ones

  09 Sep 2025
Researchers have developed Systema, a new tool to evaluate how well AI models work when predicting the effects of genetic perturbations.

The Machine Ethics podcast: Autonomy AI with Adir Ben-Yehuda

This episode Adir and Ben chat about AI automation for frontend web development, where human-machine interface could be going, allowing an LLM to optimism itself, job displacement, vibe coding and more.

Using generative AI, researchers design compounds that can kill drug-resistant bacteria

  05 Sep 2025
The team used two different AI approaches to design novel antibiotics, including one that showed promise against MRSA.

#IJCAI2025 distinguished paper: Combining MORL with restraining bolts to learn normative behaviour

and   04 Sep 2025
The authors introduce a framework for guiding reinforcement learning agents to comply with social, legal, and ethical norms.

How the internet and its bots are sabotaging scientific research

  03 Sep 2025
What most people have failed to fully realise is that internet research has brought along risks of data corruption or impersonation.



 

AIhub is supported by:






 












©2025.05 - Association for the Understanding of Artificial Intelligence