Focus on reduced inequalities
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
University of Cambridge
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
University of Amsterdam
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
The Machine Ethics Podcast
FLeet: putting machine learning in your pocket
Using mobile devices to conduct machine learning as part of a distributed network.
02 June 2021, by
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reported elsewhere (by AITopics)
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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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