AI and Education in India
This paper examines existing and emerging use cases of AI in the education sector in India.
This paper examines existing and emerging use cases of AI in the education sector in India, with the aim of identifying key challenges and risks associated with these use cases. The paper is based on inputs from the AI for Education policy lab as well as desk research. This includes the different categories under which AI applications have been developed in relation to educational challenges in India. Following which, the paper examines the possible challenges and risks associated with the use of AI for education.
Technology, in particular digital technologies, have often been used as a tool to leapfrog over persistent challenges and service gaps in the education sector. This attempt to achieve better educational outcomes by leaping over basic problems through technology—specially to address the issues of scale and lack of infrastructure—is not a new phenomenon.
- The promise of AI within the education sector is to provide personalised learning, skill development, and employability as well as bringing efficiency and cost-effectiveness to a variety of administrative issues.
- It is unlikely that AI will act as a silver bullet to address some of the core challenges of the education sector. Building AI atop of existing EdTech infrastructure could further deepen the existing inequities in the sector.
- AI applications and data-driven learning could lead to the narrowing of holistic education goals, privileging certain types of knowledge and information over other.
- The use of AI for providing career advisory and mentorship to students towards skills and jobs run the risk of framing education goals entirely by market or product-driven logic.
- Child rights and privacy protections need to be thoroughly implemented before new regimes of AI-based education are rolled out.