ΑΙhub.org
 

AIhub launches focus series on reduced inequalities


by
02 June 2021



share this:

reduced_inequalities focus issue badge
As part of our ongoing focus on the UN sustainable development goals (SDGs), we are launching the next topic in this series: reduced inequalities. Posts on this topic will be featured on our website throughout June.

Reduced inequalities

The UN’s aim with this goal is to reduce political, financial and social inequalities, to provide equal opportunities, and to end discrimination. In this focus issue we’ll be considering any AI work, or opinion and discussion pieces, relating to these topics.

In our issue we’ll be bringing you podcasts, conference coverage, a film review, and summaries of some of the latest research in the field.

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 July onwards.

AIhub focus issue on reduced inequalities


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:



Subscribe to AIhub newsletter on substack



Related posts :

Information-driven design of imaging systems

  23 Mar 2026
Framework that enables direct evaluation and optimization of imaging systems based on their information content.

Machine learning framework to predict global imperilment status of freshwater fish

  20 Mar 2026
“With our model, decision makers can deploy resources in advance before a species becomes imperiled.”

Interview with AAAI Fellow Yan Liu: machine learning for time series

  19 Mar 2026
Hear from 2026 AAAI Fellow Yan Liu about her research into time series, the associated applications, and the promise of physics-informed models.

A principled approach for data bias mitigation

  18 Mar 2026
Find out more about work presented at AIES 2025 which proposes a new way to measure data bias, along with a mitigation algorithm with mathematical guarantees.

An AI image generator for non-English speakers

  17 Mar 2026
"Translations lose the nuances of language and culture, because many words lack good English equivalents."

AI and Theory of Mind: an interview with Nitay Alon

  16 Mar 2026
Find out more about how Theory of Mind plays out in deceptive environments, multi-agents systems, the interdisciplinary nature of this field, when to use Theory of Mind, and when not to, and more.
coffee corner

AIhub coffee corner: AI, kids, and the future – “generation AI”

  13 Mar 2026
The AIhub coffee corner captures the musings of AI experts over a short conversation.

AI chatbots can effectively sway voters – in either direction

  12 Mar 2026
A short interaction with a chatbot can meaningfully shift a voter’s opinion about a presidential candidate or proposed policy.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence