ΑΙhub.org
 

AIhub launches focus series on quality education


by
04 March 2021



share this:

quality education focus series badge
As part of our ongoing focus on the UN sustainable development goals (SDGs), we are launching the third topic in this series: quality education. Posts on this topic will be featured on our website throughout March.

AIhub focus issue on quality education

Quality education

We will be covering two aspects to education. Firstly, training and education in the field of AI itself. Secondly, the use of AI methods to improve education generally. All levels of education will be considered, from schools to University level, from the general public to industry and professional development.

In this series, our planned content includes an article from Carles Sierra on team formation using AI techniques. We will also cover the recent Educational Advances in Artificial Intelligence (EAAI) symposium which took place as part of AAAI 2021 in February.

You will be able to find all the articles related to this issue as we publish them at this link.

About the UN Sustainable Development Goals

The Sustainable Development Goals (SDGs) are a collection of 17 interlinked goals designed to be a “blueprint to achieve a better and more sustainable future for all”. The SDGs were set in 2015 by the United Nations General Assembly and are intended to be achieved by the year 2030.

Would you like to contribute?

There is still time to contribute to this focus series. Just send us an email and we’d be happy to help you shape a blog post or set up an interview. Also, watch this space as we are soon to announce the next SDG we plan to cover, with content for that being published from April onwards.




tags:


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 :



We risk a deluge of AI-written ‘science’ pushing corporate interests – here’s what to do about it

  16 Sep 2025
A single individual using AI can produce multiple papers that appear valid in a matter of hours.

Deploying agentic AI: what worked, what broke, and what we learned

  15 Sep 2025
AI scientist and researcher Francis Osei investigates what happens when Agentic AI systems are used in real projects, where trust and reproducibility are not optional.

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.



 

AIhub is supported by:






 












©2025.05 - Association for the Understanding of Artificial Intelligence