Muslim activist wrongly accused of being Sri Lanka terror suspect
Muslim activist wrongly accused of being Sri Lanka terror suspect
Occurred: April 2019
Page published: May 2025
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A prominent Muslim American activist was mistakenly identified by police using facial recognition as a suspect in the 2019 Sri Lanka Easter Sunday terror attacks, leading to personal distress and raising concerns about AI and surveillance.
Baltimore-born Muslim activist and author Amara Majeed was falsely identified by Sri Lankan authorities as one of the ISIS-linked suicide bombers responsible for the devastating Easter Sunday attacks that killed over 250 people and injured hundreds more.
Her photograph was released by officials with the name of a suspect, Abdul Cader Fathima Khadiya, but the image was actually of Majeed, who was then a student at Brown University and had no involvement in the attacks.
The misidentification was later attributed to an error in facial recognition technology.
The public release of her image as a terror suspect resulted in immediate and severe consequences for Majeed and her family. She received death threats, her extended family in Sri Lanka faced scrutiny and risk, and her personal and academic life was upended.
Despite a prompt apology from Sri Lankan police, the damage to her reputation and sense of security was profound and lasting.
The incident was caused by a failure in facial recognition technology used by Sri Lankan authorities, which incorrectly matched Majeed’s photograph to the identity of a wanted suspect.
The error was compounded by a lack of diligence in verifying the information before making it public. The authorities' rush to identify suspects in the wake of a national tragedy led to the release of inaccurate and harmful information.
The incident highlights the dangers of unregulated facial recognition technology and the necessity for rigorous verification before publicising sensitive information.
It also illustrates the broader societal risks of surveillance errors, particularly for marginalised groups who may lack the resources to defend themselves.
The case has become a cautionary example in debates about privacy, technology, and the presumption of innocence, raising questions about how such errors can be prevented and how victims can be protected from lasting harm.
Unknown 🔗
Developer:
Country: Sri Lanka; USA
Sector: Govt - police
Purpose: Identify terror suspects
Technology: Facial recognition
Issue: Accuracy/reliability; Privacy