Across the world, artificial intelligence (AI) and data-science research is showing promise for early COVID-19 detection, timely communications with the public, new diagnostic tools, and informed policy and public health responses that can be automated, implemented and scaled affordably. AI and data-science methodologies are particularly well suited to pattern recognition, forecasting, and automation.
Like the internet, artificial intelligence (AI) systems are rapidly becoming a new layer of infrastructure, with transformative potential. Fuelled by the increasing availability of computational power, improved connectivity, and big data, AI applications offer exciting possibilities for advancing the Sustainable Development Goals by spurring new start ups, improving food systems, enabling higher-quality education delivery, and contributing to tackling pressing health and climate challenges.
However, that study also identified a set of interrelated challenges facing the councils, including limited capacity, inadequate funding, overlapping roles, and poor coordination with other agencies, lack of appropriate legislation, and poor implementation of science and research funding policies.