Inspirational news, project updates, perspectives and impact stories worth sharing. Welcome to the Pulse.
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.
FRAGILE EARTH 2021, our annual workshop is taking place as part of the Earth Day events at ACM’s KDD 2021 Conference (14-18 August) . This year’s workshop will bring together the research community, industry, and policymakers to develop
Applications for AI for Good’s Summer Fellowship Program are open! We are seeking undergraduate and graduate students to be Sustainable Policy Fellows, AI Research Fellows, and Hybrid Fellows. Find more info and apply here by June
IFAI’s Social Art Award aims to invigorate the rise of Social Art. In 2021 the topic is “New Greening”. Artists and cultural actors from more than 140 countries have already applied with visionary works (co-)creating positive futures as
In Nigeria, NGO Renewable Africa 365 and Omdena have developed a grid coverage analysis and ML-driven heat maps to identify sites that are most suitable for solar panel installation. Their goal is to bring renewable energy to 100
Issues like discrimination in the workforce can seem dauntingly broad. At the same time, new and developing technologies like AI and machine learning can seem unapproachable or incomprehensible for a general audience. At AI for Good
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