Air India Boeing crash, Google AI error, AI hallucinations in aviation*

 Why Airbus Isn’t Suing Google Over AI’s False Accusation in Air India Boeing Crash

By Rahul

12 June 2025



## **Introduction**  


In a bizarre turn of events, Google’s AI-powered search results recently falsely implicated Airbus in the tragic **Air India Boeing 747 crash of 1978**. The error sparked outrage among aviation experts and raised questions about the reliability of AI-generated information. Surprisingly, Airbus has not taken legal action against Google. Why is that? This article explores the reasons behind Airbus’s silence, the implications of AI misinformation, and how such errors can be prevented in the future.  


## **The False AI Claim: Airbus Blamed for a Boeing Crash**  


The **Air India Flight 855 disaster** occurred on **January 1, 1978**, when a **Boeing 747-200** crashed into the Arabian Sea, killing all 213 people on board. Investigations later confirmed that the crash was due to **instrument failure and pilot error**, with no connection to Airbus.  


However, in early 2024, users noticed that **Google’s AI Overview** (formerly Search Generative Experience) incorrectly stated that **Airbus was responsible** for the accident. This glaring mistake went viral, leading to widespread criticism of AI’s accuracy in delivering critical information.  


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## **Why Hasn’t Airbus Sued Google?**  


Given the severity of the misinformation, many expected Airbus to take legal action. However, several factors explain why the company has refrained from suing Google:  


### **1. AI Errors Are Still a Legal Gray Area**  

Unlike traditional defamation cases, AI-generated misinformation is a relatively new legal challenge. Proving **negligence or malice** in an automated system is difficult, and courts have yet to establish clear precedents for holding AI platforms accountable.  


### **2. Google’s Quick Correction Mitigated Damage**  

After the error was flagged, Google swiftly corrected its AI response. Since the false claim was not persistently promoted, Airbus may have deemed the reputational harm minimal.  


### **3. Airbus Prioritizes Aviation Safety Over Legal Battles**  

Airbus is a leader in aviation safety and innovation. Rather than engaging in lengthy lawsuits, the company likely focused on **clarifying the facts** and reinforcing its commitment to accurate aviation history.  


### **4. Potential for Negative Publicity**  

A high-profile lawsuit could draw more attention to the AI error, inadvertently amplifying the misinformation. Airbus may have opted for **discreet corrections** to avoid prolonged media scrutiny.  


### **5. Collaboration Over Confrontation**  

Tech and aviation industries often collaborate on **AI training and safety protocols**. Airbus may prefer working with Google to improve AI accuracy rather than adopting an adversarial stance.  


## **The Bigger Problem: AI Hallucinations in Critical Fields**  


The false Airbus accusation highlights a growing concern—**AI hallucinations** (fabricated facts) in high-stakes industries like aviation. If AI systems provide incorrect data on:  

- **Aircraft safety records**  

- **Aviation regulations**  

- **Historical accidents**  


The consequences could range from **public confusion to eroded trust in aviation authorities**.  


### **How Can AI Misinformation Be Prevented?**  

1. **Better Training Data** – AI models must be trained on verified aviation databases.  

2. **Human Oversight** – Critical information should be reviewed by experts before dissemination.  

3. **Transparency** – AI responses should cite sources, allowing users to verify claims.  

4. **User Feedback Loops** – Encouraging corrections from professionals can improve accuracy.  


## **Conclusion**  


While Google’s AI wrongly blamed Airbus for the **1978 Air India Boeing crash**, the company’s decision not to sue reflects a strategic approach to handling misinformation. Instead of litigation, Airbus likely prioritized **correcting the record and improving AI reliability** in aviation discourse.  


As AI becomes more embedded in search engines, ensuring **accuracy in critical fields** like aviation must be a top priority. The incident serves as a wake-up call for tech companies to strengthen fact-checking mechanisms and collaborate with industry experts to prevent future errors.  


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