The NITI Aayog paper identified five focus areas where AI development could enable both growth and greater inclusion: Healthcare, agriculture, education, urban-/smart-city infrastructure, and transportation and mobility.These were lack of research expertise, absence of enabling data ecosystems, high resource cost and low awareness for adoption, lack of regulations around privacy and security, and absence of a collaborative approach to adoption and applications.
The prospect of an estimated boost of 16%, or US$13 trillion, to global output by 2030 has led to an unprecedented race to promote AI uptake across industry, consumer markets, and government services. Global corporate investment in AI reportedly reached US$60bil in 2020 and is projected to more than double by 2025.
These encompass both technical aspects of AI in standards development organisations such as the International Organisation for Standardisation , the International Electrotechnical Commission , and the Institute of Electrical and Electronics Engineers among others), and the ethical and policy dimensions of responsible AI.
The Organisation for Economic Cooperation and Development , meanwhile, has launched the AI Policy Observatory to support and inform AI policy development. Several other international organisations have become active in developing proposed frameworks for AI development.