The original content of this case is from Oxford Initiative on AI×SDGs (2018-2022) which was a research project at the University of Oxford, directed by Prof. Luciano Floridi and Prof. Mariarosaria Taddeo. Its goal was to determine how artificial intelligence (AI) has been and can be used to support and advance the United Nations Sustainable Development Goals (SDGs). One of the deliverables was a curated, open, and fully searchable collection of international projects that use AI to support one or more of the SDGs. The content of that collection is now hosted here. We thank Prof. Floridi, Prof. Taddeo and their research team for the collaboration. Descriptions and functionalities have been extended to adapt the original content to the AI for SDGs Think Tank Observatory.
is calculated based on
editor rating and all crowd ratings.
This case generally contributes to Zero Hunger (Pillar 2), Reduced Inequalities (Pillar 10), Responsible Consumption and Production (Pillar 12). Introducing machine learning to provide a solution for financial credits to agriculture through the creation of a credit system by Traive potentially increases the effectiveness and ratio of approval for small and medium farmers. Similar applications have to be careful on potential Inequalities learned by machine learning algorithms from the user data. [Comments from Yi Zeng, Center for Long-term Artificial Intelligence]