AI-Ready Data: Preparing Institutions for a Digital Future

Government officials stress the importance of testing AI solutions before implementation and preparing data to be AI-ready. Rohit Bhardwaj emphasizes creating machine-readable data files, while Google highlights decentralizing data for accessibility. The discussion underscores AI's potential and challenges in sectors like policy-making, education, and health.

A government official highlighted the need for caution in adopting AI-based solutions, urging that institutions only embrace tested and trustworthy AI applications. At an AI Impact Summit, Rohit Bhardwaj of MoSPI advised government agencies to prepare AI-ready data by creating machine-readable files, complete with context, semantics, and metadata.

Bhardwaj emphasized the significance of testing AI systems, citing a Canadian university's research showing varied AI analysis of similar data sets, advocating for awareness about what constitutes AI readiness. This preparation, he argued, is vital for trustworthy AI implementation in institutions.

Google's Prem Ramaswami stressed the importance of decentralizing data, advocating for local governance within organizations to make data affordable and accessible. Highlighting AI's role as a tool for tackling complex issues like poverty and climate change, he noted the necessity of a holistic approach rather than relying on centralized data sources.

(With inputs from agencies.)