Speaker Sabir Ahamed speaks during a discussion on ‘Special Intensive Revision (SIR) in Telangana: Data Cleansing vs. Social Welfare – Lessons from the West Bengal SIR Exercise’ organised by The Centre for Development Policy and Practice at FTCCI, Federation House, Red Hills, Hyderabad, on Tuesday.
| Photo Credit: NAGARA GOPAL
With the Special Intensive Revision (SIR) enumeration form distribution exercise gathering pace in Telangana, relying solely on artificial intelligence to identify “discrepancies” in the draft electoral rolls could lead to wrongful and large-scale exclusions, according to a researcher who studied the exercise in West Bengal.Human intervention is essential to correct errors flagged by AI systems, said Sabir Ahamed, lead at Kolkata-based public policy and research organisation Sabar Institute, on the sidelines of ‘SIR in Telangana: Data Cleansing vs. Social Welfare’ discussion organised by the Centre for Development Policy and Practice.An over-reliance on technology, in this case AI, can be a disaster,” he said, underscoring the opacity with which AI systems and algorithms have been functioning vis-a-vis the SIR.
Speaker Sabir Ahamed speaks during a discussion on ‘Special Intensive Revision (SIR) in Telangana: Data Cleansing vs. Social Welfare – Lessons from the West Bengal SIR Exercise’ organised by The Centre for Development Policy and Practice at FTCCI, Federation House, Red Hills, Hyderabad, on Tuesday.
