OOF-AII-724490
Worker killed by robot in welding accident at car parts factory in India
A factory robot at the SKH Metals Factory in Manesar, India pierced and killed 24-year-old worker Ramji Lal when Lal reached behind the machine to dislodge a piece of metal stuck in the machine.
- Event date
- 2015-07-02
- Country
- India
- Severity
- High
- Evidence state
- Single-source
Assessment status
Generated from available public incident evidence using OOF® governance methodology. It is not an official investigation, legal determination, regulatory finding, certification, or OOF® Approved Assessment.
View source record from AI Incident Database (Responsible AI Collaborative)
Assessment confidence dimensions
- Source corroboration
- Single-source
- Extraction completeness
- High
- Methodological assignment confidence
- Moderate
Measures source-group corroboration only; it does not establish factual truth.
Measures populated source fields after deterministic normalization; it does not measure correctness.
Measures automated assignment support; substantive correctness requires authorized human review.
Known facts from the incident record
- The incident record identifies the event date as 2015-07-02.
- The incident record identifies the location as India.
Reported claims
- A factory robot at the SKH Metals Factory in Manesar, India pierced and killed 24-year-old worker Ramji Lal when Lal reached behind the machine to dislodge a piece of metal stuck in the machine.
Material unknowns
- Independent corroboration is not established in the available incident record.
- The specific AI system is not established by the available record.
Primary governance problem
The incident appears to expose a governance problem involving autonomous, execution. Available reporting supports preliminary methodological interpretation, not a finding of fault or non-compliance.
Architecture intelligence
ASGA™ — Autonomous Systems Governance Architecture
Primary architecture
The reported autonomous, execution concern falls within the governed questions represented by ASGA™ — Autonomous Systems Governance Architecture.
Governance focus: How should autonomous, execution be governed in the conditions described by the available incident evidence?
Canonical methodology (ParentStandard):
Preliminary governance questions
- How should autonomous, execution be governed in the conditions described by the available incident evidence?
- What operational authority and controls applied to Skh Metals at the relevant time?
- What evidence would establish how the relevant AI system produced or enabled the reported outcome?
- What additional independent evidence is required to resolve the material evidence gaps?
Evidence gaps and limitations
- Only one independent source group is represented; corroboration is not established.
- AI technology is not specified in the source record.
- AI system type is not specified in the source record.