The record
Written by software from the 1 report below. The points restate them; where one says why it matters, that is Prism's reading, not a reported fact.
- The Election Commission of India flagged nearly 9.3 million voters in Telangana for potential discrepancies during a recent electoral roll revision.
- State officials have not received a detailed breakdown of these errors, which reportedly range from spelling mistakes to logical inconsistencies in family data.
- Critics have raised concerns about the use of AI in these flagging processes, citing potential inaccuracies and the risk of accidental disenfranchisement.
- The integrity of the electoral roll management platform, ERONET 2.0, remains a subject of public scrutiny.
What to watch next
- Disclosure of methodology and safeguards for AI in SIR 2026
- Human verification processes for AI-flagged voter anomalies
Who said what2
Only words found exactly in the article are shown, attributed and linked to the line they came from.
Srinivas Kodali
1 quote · 1 outlet
“AI for SIR runs on a ‘probabilistic system’. If you pose a question, the answer you get will be different, which completely depends on the percentage of AI’s predictions. The accuracy of the algorithm of ECI has always been challenged. The same model has been adopted for different languages creating more inaccuracies”
In the article
…Artificial Intelligence (AI) in identifying discrepancies during the SIR exercise. Tech researcher and digital privacy advocate Srinivas Kodali said ERONET was using AI and questioned the reliability of the process. “ AI for SIR runs on a ‘probabilistic system’. If you pose a question, the answer you get will be different, which completely depends on the percentage of AI’s predictions. The accuracy of the algorithm of ECI has always been challenged. The same model has been adopted for different languages creating more inaccuracies ,” he argued. The initial version of ERONET was launched in 2018. The Election Commission currently operates ERONET 2.0 as its centralised web and mobile-based platform for electoral roll management. According to the…
M.A. Mujeeb Ayyub
1 quote · 1 outlet
“An algorithmic error must never become a reason for disenfranchisement. In the world’s largest democracy, every AI-generated flag must be subject to human verification, transparency, due process and an effective opportunity to respond. ECI must disclose the scale, methodology and safeguards governing AI use in SIR 2026. Technology should assist election officials — not decide who gets to exercise the right to vote”
In the article
…view of the life cycle of electors,” the annual report says. Advocate M.A. Mujeeb Ayyub, an SIR activist, raised concerns over the use of AI-driven systems to flag ‘logical discrepancies’ and issue SIR notices. “ An algorithmic error must never become a reason for disenfranchisement. In the world’s largest democracy, every AI-generated flag must be subject to human verification, transparency, due process and an effective opportunity to respond. ECI must disclose the scale, methodology and safeguards governing AI use in SIR 2026. Technology should assist election officials — not decide who gets to exercise the right to vote ,” he emphasised.…
Coverage1
All filed from India
Named India · ERONET 2.0 · Election Commission of India · M.A. Mujeeb Ayyub · Srinivas Kodali · Tata Consultancy Services
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