Kota police act on a Meta self-harm flag within a week of tie-up

AI system

System: Meta suicide and self-injury detection on Facebook and Instagram, with red-flag tags shared with Kota police and Abhay Command Centre
Model: Not assessed
Release: Not assessed
Application developer: Meta Platforms
Role: Not assessed
Configuration: Not assessed
Inputs and outputs: Not assessed
Autonomy: Not assessed
Workflow: Meta's detection-and-review pipeline flagging suicide or self-harm posts by students on Facebook and Instagram. A standing arrangement under which Meta shares account information with Kota police. For students outside Kota it goes to Abhay Command Centre or a district control room. A police team monitoring the flags round the clock in eight-hour shifts.
Human oversight: Not assessed
Relation to AI: PTI's report says the chain starts with a red-flag tag on Meta's system when a student posts suicide or self-harm content. Account information is then shared with police. It does not say whether Meta's classifier or a user report raised the flag in the Jhunjhunu case, nor what happened on arrival. Meta's own description (2018, updated 2021) says machine-learning detection is followed by human review before authorities are contacted. The intervention itself was police work. PTI also notes that no red-flag tags had been reported in Kota city since the launch.
AI contribution: PTI's report says the chain starts with a red-flag tag on Meta's system when a student posts suicide or self-harm content. Account information is then shared with police. It does not say whether Meta's classifier or a user report raised the flag in the Jhunjhunu case, nor what happened on arrival. Meta's own description (2018, updated 2021) says machine-learning detection is followed by human review before authorities are contacted. The intervention itself was police work. PTI also notes that no red-flag tags had been reported in Kota city since the launch.

Benefits

Outcome identifiers: Not assessed
Benefit: Kota City SP Amrita Duhan said Meta's red-flag tags for suicidal posts go to a round-the-clock police team; within a week, police prevented a possible suicide by a student from Jhunjhunu (PTI).
Category: Improved Physical Health
Status: Not assessed
Beneficiary groups: People.
Beneficiaries: Not assessed
Reach: Not assessed
Distribution and access: Not assessed
Duration: Not assessed
Expected?: Yes
Costs and harms: Not assessed

Measurement

Studies: Not assessed
Study design: Not assessed
Measurement: Not assessed
Setting and sample: Not assessed
Measures: Not assessed
Comparison: Not assessed
Results: Not assessed
Additional value from AI: Not assessed
Limitations: Not assessed
Denominators: Not assessed
Materials for replication: Not assessed

Money

Kind of value: Not assessed
Amount: Not assessed
Currency and prices: Not assessed
Period and unit: Not assessed
Realization: Not assessed
Recipients and payers: Not assessed
Gross or net: Not assessed
Included costs: Not assessed
Comparison: Not assessed
Method: Not assessed
Return and payback: Not assessed

People and places

Participants: Developer: Meta Platforms. Operator: Kota City Police (Rajasthan Police), Abhay Command Centre.
Jurisdictions: Benefit: Kota, India. Developer: United States. Operator: India.
Ownership and control: Not assessed
Dependencies: Not assessed
Cross-border connections: Not assessed
Geopolitical implications: Not assessed

Follow-up

Conditions for replication: The student must post on Facebook or Instagram in a way the pipeline recognizes. Account details must resolve to a reachable location in time. Police must be able to reach the student quickly.
Replication attempts: Not assessed
Later findings: Not assessed
Availability: Not assessed
Institutional decision: Not assessed
Grounds: Not assessed
Action and result: Not assessed
Success criterion: Not assessed

Evidence

Source numbers: AIBD-0371-source-0001–0004
Citations: Numbered references below.
Language: Not assessed
Source relationships: Independent, Developer
Original evidence: Not assessed
Access and versions: Not assessed
Supported findings: Not assessed
Evidence links: Not assessed
Evidence strength: Not assessed
Missing evidence: Not assessed

Grades

Assessed benefits: People.
Depth: Not assessed
Reasons: People: PTI reports only that police “prevented a possible suicide by a student hailing from the Jhunjhunu district” within a week of the launch. The sources give no account of what the student posted, their condition when reached or what officers did. So the outcome is not established.
Observed or intended: Not assessed
Rubric: Not assessed
Assessor and date: Not assessed
Alternative assessments: Not assessed
Fill: Independently reported

Entry details

Kind: Not assessed
Related entries: Not assessed
Field: Suicide prevention / online safety. Social media platforms and police.
Purpose: Meta's pipeline is built to find posts indicating suicide or self-injury risk and route them to trained reviewers. In imminent cases it contacts local authorities (Meta Newsroom). The Kota arrangement routes those flags to police to intervene. This case is that purpose.
Dates: Date basis unassessed: 2024 (precision unassessed). Updated: 22 October 2026.
Stage: Not assessed
Version: SHA-256: fde9db963ea3…

References

Other identifiers: oecd_aim: 2024-05-28-2dfd.
Category mappings: Not assessed
Brief: Not assessed
Revisions: 5 revisions. Latest: 22 October 2026.

Sources

News report Independent author

PTI (2024). Kota Police Ropes in Meta to Prevent Suicides Among Coaching Students. LatestLY, 28 May 2024.
Press release Developer

Card, C. (2018). How Facebook AI Helps Suicide Prevention. Meta Newsroom, 10 September 2018 (updated 29 September 2021).
Registry label Independent author

OECD AI Incidents and Hazards Monitor (2024). Kota Police and Meta Use AI Monitoring to Prevent Student Suicides. OECD.AI, 28 May 2024.