Statistics is the backbone of responsible Artificial Intelligence: Dr.Raju Narayana Swamy IAS reminds ISS Probationers

HYDERABAD: Dr. Raju Narayana Swamy IAS, Kerala's anti-corruption crusader, delivered the keynote address in the training program for the newly recruited ISS (Indian Statistical Service) probationers at Administrative Staff College of India (ASCI) at Bella Vista, Hyderabad.

He reminded them that statistical learning provides the rigor and structure necessary for building trustworthy AI systems. From model selection to performance evaluation, core statistical techniques like cross-validation, hypothesis testing, and uncertainty quantification remain essential to understanding what an Artificial Intelligence model is doing.

Swamy reminded the students that statistics serves as a framework for explainability, allowing users to question assumptions, validate outputs, and avoid blind trust in black-box predictions. He also noted that the rise of LLMs (Large Language Models) has expanded the possibilities for AI-assisted statistical analysis.

Concluding the session, Dr. Swamy emphasized that statistics is what keeps AI accountable, highlighting the shift from regression models to ML algorithms like Random Forests. The lecture delived into intricate aspects of fuzzy logic, time-space optimization, parallel computing, weather prediction, and space colonization. Dr. Subodh Kandamuthan, Dean, ASCI, presided over the function.