This is a research prototype. The data and analyses are preliminary and not yet validated — we'd welcome your .
On July 28, 2020, Facebook's automatic translation system incorrectly translated a Thai PBS live stream caption regarding the King of Thailand's birthday into a memorial for a death anniversary. This error caused significant public offense and led to a criminal investigation by the Thai Technology Crime Suppression Division. Facebook subsequently apologized, disabled the auto-translation feature in Thailand, and initiated an investigation into the technical failure.
Facebook's Thai-English translation gave an inappropriate mistranslation on Thai PBS's Facebook live broadcast of the King of Thailand’s candle-lighting birthday ceremony.
Domain classification, causal taxonomy, severity scores, and national security assessments were LLM-classified and may contain errors.
AI systems that fail to perform reliably or effectively under varying conditions, exposing them to errors and failures that can have significant consequences, especially in critical applications or areas that require moral reasoning.
Also classified as
The translation error exposed users to highly offensive and inappropriate content regarding the death of the reigning monarch.
The incident was caused by a technical failure where the translation AI lacked the capability and robustness to accurately translate rare royal Thai vocabulary, leading to a highly offensive error.
AI system
Due to a decision or action made by an AI system
Unintentional
Due to an unexpected outcome from pursuing a goal
Post-deployment
Occurring after the AI model has been trained and deployed
The translation error was an unexpected and unintended outcome of the deployed Facebook auto-translation system.
Added categories peak at 2: Minor (Epistemic Harm, Direct)
An automatic translation tool on Facebook mistakenly translated the Thai King's birthday caption into a death anniversary memorial, causing public outrage and triggering a state criminal investigation under the Computer Crime Act. The incident highlights minor national security and societal stability risks arising from deploying autonomous AI translation tools in highly sensitive political contexts without human oversight.
The report describes an automatic translation tool that performs a specific, well-defined function of translating text from English to Thai based on direct input without independent planning or agency.
Minimal or No Risk: The AI system is an automatic translation tool, which is a simple application posing low or negligible risk to users under normal circumstances.
The AI system's sole purpose in this context was to automatically translate English text into Thai for Facebook users.
The reports provide clear, consistent, and detailed accounts of the translation error, the technical reasons behind the failure (LSTM limitations and low-resource Thai training data), and the subsequent legal and public reactions.
None
Technology
LSTM Translation Error
LSTM model chose closest historical alignment due to lack of precise match.
No Failsafe Deactivation
The AI did not shut off or flag translation when confidence was extremely low.
Thai Word Segmentation Issues
Lack of spaces between Thai words makes tokenization and context hard for AI.
Data Inputs
Lack of Royal Thai Vocabulary
Extremely small training dataset for rare royal Thai terms.
Small Thai Dataset Volume
Only 1 million Thai word pairs compared to 40 million in other languages.
Biased Historical Word Pairs
Training data associated candle-lighting ceremonies mostly with memorial days.
Human Factors
Lack of Human Oversight
No human-in-the-loop checked the auto-translation before it went live.
Delayed Detection by Broadcaster
Thai PBS staff took 10 minutes to notice and remove the mistranslated text.
Process and Methods
Inadequate Live Translation QA
No pre-deployment testing for high-stakes royal events in Thai language.
Unfiltered Auto-Translation Rollout
System automatically published translations without vetting for sensitive topics.
Failure to Learn from Past Incidents
Facebook translation had to be disabled twice before for similar failures.
Management
Slow Cooperation on Content Issues
Facebook historically showed slow cooperation with Thai government court orders.
Deficient Risk Assessment
Failure to assess cultural risks of auto-translation in royal contexts.
Regulatory Environment
Strict Liability Laws
Computer Crime Act imposes strict liability for automated offensive content.
Lese-Majeste Legal Risks
Severe legal penalties for any perceived insults to the Thai monarchy.
AI system involved
Identified by automated extraction; can differ from the alleged developers above.
