ΑΙhub.org

Focus on reduced inequalities


The Machine Ethics podcast: responsible AI research with Madhulika Srikumar

In this episode, Ben chats with Madhulika Srikumar about AI research, how we can think responsibly about our work, and how best to manage the associated risks.
14 September 2021, by

The Machine Ethics podcast: How to design a moral algorithm with Derek Leben

In this episode, Ben chats with Derek Leben about a general framework for machine ethics, contractarianism, Rawls’ original position thought experiment, and more.
05 August 2021, by

Use of AI to fight COVID-19 risks harming “disadvantaged groups”, experts warn

Rapid deployment of AI to tackle coronavirus must still go through ethical checks and balances.
28 July 2021, by

Ethics and AI: tackling biases hidden in big data

Find out more about Nello Cristianini's research into big data and biases.
16 July 2021, by

Code^Shift lab aims to confront bias in AI and machine learning

The new Texas A&M initiative brings together an interdisciplinary group of experts.
13 July 2021, by

Advancing society through inclusive AI technology

Socially Intelligent Artificial Systems (SIAS) - a new research group at the University of Amsterdam.
18 June 2021, by


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The Machine Ethics Podcast: Algorithmic discrimination with Damien Williams

In this episode, Ben chats with Damien Williams about types of human and algorithmic discrimination, and much more.
03 June 2021, by

FLeet: putting machine learning in your pocket

Using mobile devices to conduct machine learning as part of a distributed network.
02 June 2021, by

AIhub launches focus series on reduced inequalities

As part of our ongoing focus on the UN sustainable development goals (SDGs), we are launching the next topic in this series: reduced inequalities.
02 June 2021, by

Focus on reduced inequalities: call for contributions

We are looking for AI researchers, users and stakeholders to write, or talk, about their work relating to reducing inequalities.
12 April 2021, by







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