The Pulse

Inspirational news, project updates, perspectives and impact stories worth sharing. Welcome to the Pulse.

The search for the winners of The Earthshot Prize 2022 has begun and the AI for Good Foundation is proud to be an official Nominator. Launched in 2020 and with the first incredible winners announced in

Guest Blog by Michael Stock – Freedom When I was working at the BBC in London in 2005 I began my training as in-house leadership coach with Sir John Whitmore, a pioneer from motor-racing and performance

Tenzin Migmar Summer Fellow 2021 / Project: SDG Data Catalog The data catalog is an extensive and open sourced project that aims to bridge the gap between machine learning in academia and creating progress towards the

By Alexander Talbott – Many governments, local and national, around the world, are embracing Artificial Intelligence (AI) in order to better serve their citizens. AI can reduce waiting times, reduce backlogs, and detect fraud. When used

By Tenzin Migmar –  Eradicating extreme poverty in all its dimensions is a bold commitment to elevating the quality of life for humanity everywhere to ensure that everyone has the opportunity to live a life of

In this interview with Program Coordinator Lindsey Asis, Eller tells us about her social impact startup BothOfUs, the role and limitations of circular economies in achieving sustainable development, and how to conceive of meeting social and

New York, May 24, 2021 – Predli announced today a collaboration with the AI for Good Foundation to accelerate work on the UN Sustainable Development Goals (UNSDGs) and address the most pressing challenges faced by our

In this interview with our Program Coordinator Lindsey Asis, Claudia Perlich discusses what brought her to her career, how best to use AI for good and its accompanying challenges, and her call to arms of communal

By Lindsey Asis –  What is Explainable AI? Explainable Artificial Intelligence (XAI) is the application of built-in processes to AI models that allow human users to understand the steps and outcomes created by machine learning algorithms.

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