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In June 2021, Google's search algorithm displayed 'Kannada' as the answer to the query 'ugliest language in India' within a featured snippet. This resulted in significant public and political backlash in India, as the language is a source of cultural pride. Google subsequently removed the snippet and issued an apology, attributing the result to the algorithm's reliance on third-party web content and the inherent fallibility of automated search results.
Google's knowledge-graph-powered algorithm showed Kannada in its featured Answer Box when prompted "ugliest language in India," causing outrage from Kannada-speaking people and government.
Domain classification, causal taxonomy, severity scores, and national security assessments were LLM-classified and may contain errors.
Unequal treatment of individuals or groups by AI, often based on race, gender, or other sensitive characteristics, resulting in unfair outcomes and unfair representation of those groups.
Also classified as
The search algorithm failed to perform reliably by pulling subjective, offensive content from an unverified source and presenting it as a fact.
The AI system unfairly represented and denigrated the Kannada-speaking linguistic group by labeling their language as the 'ugliest' in India.
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 incident was caused by Google's search algorithm unintentionally retrieving and highlighting a biased third-party opinion as a factual snippet after deployment.
Added categories peak at 2: Minor (Epistemic Harm, Direct)
Google's search algorithm unintentionally displayed an offensive snippet labeling Kannada as the 'ugliest language in India'. While causing significant public outrage and political condemnation in Karnataka, the incident represents a minor algorithmic failure with negligible direct threat to India's national security.
The report describes Google Search as an algorithm-based system that retrieves and presents information to answer user queries, acting to augment human information-seeking capabilities.
Minimal or No Risk: The search engine algorithm is a general information retrieval system that poses low systemic risk to safety or fundamental rights, falling under Level 4.
The AI system's featured snippet feature was specifically designed to answer user questions directly by extracting information from web pages.
The reports consistently describe the incident, the search query, the resulting featured snippet, Google's apology, and the public reaction. There is no conflicting information regarding the core event.
None. The incident is clearly an algorithmic failure of Google's search snippet feature.
Technology
Flawed Snippet Algorithm
Algorithm pulled opinionated third-party content and presented it as fact.
Vulnerability to SEO Manipulation
Algorithm allowed malicious or targeted search queries to boost bad results.
Lack of Prejudiced Query Filtering
System attempted to answer a highly offensive and subjective query.
Data Inputs
Unverified Third-Party Sources
Data was pulled from an obscure, unverified financial services website.
Biased Content and Tags
Online content lacked proper tags, leading to biased training data.
Human Factors
Deliberate Search Manipulation
Users potentially planted and repeatedly searched the query to boost rank.
User Outrage and Backlash
Widespread public anger triggered rapid political and legal escalations.
Process and Methods
Inadequate Content Auditing
Lack of periodic checks on the data and search results fed to the system.
No Proactive Reporting Mechanism
Absence of a mechanism for users to flag offensive snippet results early.
Management
Overreliance on Automation
Management relied entirely on automated algorithms without human oversight.
Lack of Algorithmic Control
Company admitted to having limited control over automated search indexes.
Regulatory Environment
Threat of Legal Action
Government officials threatened legal action over the offensive search result.
AI system involved
Identified by automated extraction; can differ from the alleged developers above.
