Discussions on importance of clean data, sustainable AI technologies

Clean and diverse data are essential for reliable artificial intelligence (AI) systems, while synthetic data should be used within clearly defined limits, said AI technology expert Nilanjan Dey, Professor, Techno International New Town.Speaking at the international conference on Quantum Enhanced Sustainable Technologies for AI Systems (QUEST-AI), organised by Andhra University Engineering College, Mr. Dey said machine-learning algorithms depended on data and that poor-quality data could produce flawed results. He said the focus should be on clean and diverse data rather than merely on “big data”, with greater attention also needed on “small data” where data availability was limited.Mr. Dey said synthetic data could help when real-world data were scarce, but excessive dependence on it could