OOF-AII-060325

Google and Delphi Self-Driving Prototypes Allegedly Involved in Near-Miss on San Antonio Road, Palo Alto

A Delphi self-driving Audi Q5 prototype reportedly aborted a lane change after a Google self-driving Lexus RX400h allegedly cut in front of it on San Antonio Road in Palo Alto, California. According to Delphi executive John Absmeier, the Delphi car "took appropriate action" to avoid collision. No crash or injuries occurred.

Event date
2015-06-23
Country
United States of America
Severity
Moderate
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

Measures source-group corroboration only; it does not establish factual truth.

Extraction completeness
High

Measures populated source fields after deterministic normalization; it does not measure correctness.

Methodological assignment confidence
High

Measures automated assignment support; substantive correctness requires authorized human review.

Known facts from the incident record

  • The incident record identifies the event date as 2015-06-23.
  • The incident record identifies the location as United States of America.

Reported claims

  • A Delphi self-driving Audi Q5 prototype reportedly aborted a lane change after a Google self-driving Lexus RX400h allegedly cut in front of it on San Antonio Road in Palo Alto, California. According to Delphi executive John Absmeier, the Delphi car "took appropriate action" to avoid collision. No crash or injuries occurred.

Material unknowns

  • Independent corroboration is not established in the available incident record.

Primary governance problem

The incident appears to expose a governance problem involving self, 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 self, autonomous, execution concern falls within the governed questions represented by ASGA™ — Autonomous Systems Governance Architecture.

Governance focus: How should self, autonomous, execution be governed in the conditions described by the available incident evidence?

Canonical methodology (ParentStandard):

Preliminary governance questions

  • How should self, autonomous, execution be governed in the conditions described by the available incident evidence?
  • What operational authority and controls applied to Google, Delphi Technologies at the relevant time?
  • What evidence would establish how Google Self Driving Lexus Rx400H Prototype, Delphi Self Driving Audi Q5 Prototype 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.

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