BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH PRODID:-//Telerik Inc.//Sitefinity CMS 15.1//EN BEGIN:VTIMEZONE TZID:Eastern Standard Time BEGIN:STANDARD DTSTART:20251102T020000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYHOUR=2;BYMINUTE=0;BYMONTH=11 TZNAME:Eastern Standard Time TZOFFSETFROM:-0400 TZOFFSETTO:-0500 END:STANDARD BEGIN:DAYLIGHT DTSTART:20250301T020000 RRULE:FREQ=YEARLY;BYDAY=2SU;BYHOUR=2;BYMINUTE=0;BYMONTH=3 TZNAME:Eastern Daylight Time TZOFFSETFROM:-0500 TZOFFSETTO:-0400 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT DESCRIPTION:The Moynihan Institute’s South Asia Center presents a talk by R anjit Singh\, researcher at “AI on the Ground\,” Data &\; Society Insti tute.Singh's talk explores the data security practices of Aadhaar\, India’ s\, biometrics-based national identification number\, and the co-constitut ion of trust and mistrust that underlies its operation as a public data in frastructure. Based on 18-months of multi-sited ethnographic research\, Si ngh presents tensions around whether Aadhaar numbers were designed to be d isclosed publicly or kept confidential. Practices meant to promote the sha ring of Aadhaar numbers broke down with growing anxieties over their publi c disclosure on government websites\, lack of audits\, and emerging forms of Aadhaar-based frauds.In response to this rising mistrust\, an ex-member of Aadhaar’s design team publicly disclosed his number in a tweet that we nt viral. Singh uses this tweet as a point of departure to: (1) provide an account of infrastructural concerns (grounded in design choices and event s) that transformed Aadhaar from a public to a confidential number\; and ( 2) illustrate that this transformation reflects how trust and mistrust co- constitute Aadhaar’s data security practices. Singh concludes by illustrat ing how infrastructural concerns produce a spectrum of possibilities where identity numbers are public and confidential\, trusted and mistrusted\, a t the same time.Ranjit Singh is a researcher at \;“AI on the Ground”\,  \;Data &\; Society Institute. His \;research interests lie at the intersection of data infrastructures\, global development\, and public policy. His current research projects invigorate existing efforts to refr ame the Global South as home to the majority of the human population and i nvestigate the diverse ethics\, politics\, and experiences of living with and regulating data and AI. His dissertation research at Cornell Universit y focused on data-driven marginality and the challenges faced by citizens in claiming voice and representation through data in the biometrics-based\ , data-driven organization of welfare services in India. DTEND:20231103T173000Z DTSTAMP:20260512T053721Z DTSTART:20231103T160000Z LOCATION: SEQUENCE:0 SUMMARY:Ranjit Singh: The Curious Case of Tweeting an Aadhaar Number UID:RFCALITEM639141466414362688 X-ALT-DESC;FMTTYPE=text/html:

The Moynihan Institute’s South As ia Center presents a talk by Ranjit Singh\, researcher at “AI on the Groun d\,” Data &\; Society Institute.

Singh's talk ex plores the data security practices of Aadhaar\, India’s\, biometrics-based national identification number\, and the co-constitution of trust and mis trust that underlies its operation as a public data infrastructure. Based on 18-months of multi-sited ethnographic research\, Singh presents tension s around whether Aadhaar numbers were designed to be disclosed publicly or kept confidential. Practices meant to promote the sharing of Aadhaar numb ers broke down with growing anxieties over their public disclosure on gove rnment websites\, lack of audits\, and emerging forms of Aadhaar-based fra uds.

In response to this rising mistrust\, an ex-member of Aadhaar’ s design team publicly disclosed his number in a tweet that went viral. Si ngh uses this tweet as a point of departure to: (1) provide an account of infrastructural concerns (grounded in design choices and events) that tran sformed Aadhaar from a public to a confidential number\; and (2) illustrat e that this transformation reflects how trust and mistrust co-constitute A adhaar’s data security practices. Singh concludes by illustrating how infr astructural concerns produce a spectrum of possibilities where identity nu mbers are public and confidential\, trusted and mistrusted\, at the same t ime.

Ranjit Singh is a researcher a t \;“AI on th e Ground”\, \;Data &\; Society Institute. His \;research interests lie at the intersection of dat a infrastructures\, global development\, and public policy. His current re search projects invigorate existing efforts to reframe the Global South as home to the majority of the human population and investigate the diverse ethics\, politics\, and experiences of living with and regulating data and AI.

His d issertation research at Cornell University focused on data-driven marginal ity and the challenges faced by citizens in claiming voice and representat ion through data in the biometrics-based\, data-driven organization of wel fare services in India.

END:VEVENT END:VCALENDAR