AI for Global Goals
AI FOR GLOBAL GOALS
CLOSING THE AI SKILLS GAP
TO ACHIEVE THE GLOBAL GOALS
Our mission is to connect AI talents to industries and causes that are aligned with the “Global Goals”. We believe that more democratic development in AI is crucial for fulfilling “the pledge to leave no one behind”, which lies at the core of the UN’s Sustainable Development Goals.
SUSTAINABLE DEVELOPMENT GOALS
The Sustainable Development Goals (SDGs), are the blueprint to achieve a better and more sustainable future for people and the planet. Adopted by all UN member states in 2015, these so-called Global Goals have the power to end poverty, fight inequality and stop climate change. It is hoped that we achieve them by 2030.
With only a decade left to meet the Global Goals, business as usual should not an option. Progress towards delivering many of these goals is far off track, from eliminating extreme poverty to combating climate change and rapid nature loss. The technology-enabled sustainable future for everyone will not be achieved unguided. Purposeful and decisive action, collaboration and coordination by organisations, investors and governments would be critical .
AI & GLOBAL GOALS
It is widely recognised that achieving the Global Goals requires strategies that improve health and education, reduce inequality, and spur economic growth; all while tackling climate change and working to preserve our oceans and forests.
Fourth Industrial Revolution innovations, including Artificial Intelligence (AI), is having an increasing impact on the delivery of all 17 SDGs and their 169 targets set by the UN. It has been estimated that the global GDP could be up to 14% higher in 2030 as a result of AI (i.e., equivalent of an additional $15.7 trillion).
Our capability to achieve a more successful digital future, accelerating innovation and investment into new solutions that help tackle our grandest challenges, required a number of enablers. One of these enablers is active and collaborative agenda on upskilling and reskilling, and interdisciplinary AI talent, closing the gap between talent supply and demand, and future-proofing our potential. The possibility of benefiting from a great innovation simply depends on having the necessary skills to use it (1,2).
We aspire to train, upskill and reskill AI talents, as well as connecting them to problems and industries that not only are important for achieving the Global Goals, but also provide exciting opportunities to use Machine Learning (and Deep Learning) to solve real-life challenges. We do this by building a community of experts through a range of academic/educational events such as Oxford Machine Learning Summer Schools (OxML), workshops, and hackathons.
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