Key takeaways
- NITI Aayog has released a discussion paper focusing on India's national strategy for artificial intelligence.
- The strategy identifies five key sectors: healthcare, agriculture, education, smart cities, and smart mobility.
- The aim is to enhance societal needs through improved access and quality in various sectors.
- The paper encourages wider consultations while avoiding specific execution and financial details.
- Amitabh Kant emphasised the paper's role in laying the groundwork for the national AI strategy.

- Healthcare: increased access and affordability of quality healthcare
- Agriculture: enhanced farmers’ income, increased farm productivity and reduction of wastage
- Education: improved access and quality of education
- Smart Cities and Infrastructure: efficient and connectivity for the burgeoning urban population
- Smart Mobility and Transportation: smarter and safer modes of transportation and better traffic and congestion problems
India embarks on a journey to lead the emerging world in AI research & application. #AIforAllwill enhance human capabilities to address challenges of access, affordability, shortage & inconsistency of skilled expertise. Read more: https://t.co/1cIsuMu2ep pic.twitter.com/snEt9jUyEE
— NITI Aayog (@NITIAayog) June 4, 2018
The paper also proposed a two-tiered structure to address India’s AI research aspirations:The paper gives many disruptive suggestion including one to utilize market place models for data, annotation, and deployable solutions in AI. We need to democratise access to and development of this technology. #AIforAll https://t.co/VJYypwMtdr
— Amitabh Kant (@amitabhk87) June 4, 2018
- Centre of Research Excellence (CORE) focused on developing a better understanding of existing core research and pushing technology frontiers through creation of new knowledge
- International Centers of Transformational AI (ICTAI) with a mandate of developing and deploying application-based research. Private sector collaboration is envisioned to be a key aspect of ICTAIs.




