Ashwin Alsi

Technology Editor at The Balanced News

Ashwin Alsi covers the intersection of technology and media at The Balanced News. He writes about AI, deepfakes, algorithmic bias, and how technology is reshaping how India consumes news. Within TBN's editorial workflow, Ashwin reviews the AI-generated bias analysis for stories in the technology, science, and digital-policy beats before they go live — checking that framing, sentiment, and source attribution are correctly identified, that technical terminology is used accurately, and that emerging concerns (synthetic media, model-generated misinformation, recommender-system effects) are surfaced where relevant. He tracks how Indian and international outlets cover AI governance, data-protection law, semiconductor and platform regulation, and the practical impact of new technology on journalism itself. Ashwin contributes long-form pieces on deepfake-detection techniques, how recommendation algorithms reshape what readers see, and how legitimate AI-assisted journalism differs from low-quality scaled content. He is particularly attentive to stories where technical claims need verification — viral video provenance, alleged exploits, statements attributed to AI systems — and flags them for additional source review when TBN's automated analysis cannot independently confirm them. Ashwin also maintains TBN's internal documentation on the Bias Engine's measurement methodology and writes the reader-facing explainers on how political bias and sentiment are scored.