Imagine asking a chatbot for advice on an important family decision, following it to the letter, and then watching things go completely wrong. Most people would simply curse technology and move on. One man decided to do the exact opposite: he took the artificial intelligence company straight to court.
The Chatbot That Picked a Funeral Date
The unusual dispute started in eastern China after a man named Shi lost his mother suddenly in April. As the youngest of five siblings, Shi took charge of organising her funeral. In his local tradition, picking an auspicious burial date is treated with deep reverence, relying on ancient almanacs and celestial beliefs.
Shi first consulted a traditional feng shui master, who suggested April 20. But Shi felt uneasy because that date fell on the fourth day after her death, and local beliefs consider even-numbered days unlucky for burials. Looking for a second opinion, Shi turned to an AI chatbot developed by Beijing Chuntian Zhiyun Technology.
The chatbot told him that April 19 was the right day. It even added specific cultural instructions, telling the family to burn paper money and paper horses before the procession to assist the soul. Shi trusted the tech and immediately sent invitations to his relatives.
Contradictions, a Road Accident, and a Lawsuit
Trouble began when Shi noticed the bot contradicting itself. While it suggested a burial window between 7:00 AM and 9:00 AM, it also generated a separate note stating that April 19 was actually inauspicious. By then, relatives had already made travel plans, and Shi felt it was too late to change the schedule.
Shortly after the burial took place, a serious road accident left one of Shi’s relatives badly injured. Family members quickly connected the crash to the funeral date, arguing that the bad timing had disrupted the family’s fortune. Blamed by his relatives, Shi filed a lawsuit against the AI firm, demanding an apology and compensation.
The plot thickened even further in court. It turned out that Shi used the very same AI chatbot to understand court procedures and draft his legal notices against the company.
The Tech Defense: Read the Fine Print
The AI firm defended itself by pointing to its terms of service. Like almost every software tool today, the platform includes a disclaimer stating that AI output is purely for reference and should never replace professional judgment.
Shi, however, challenged those terms in court. He argued that technology platforms cannot simply hide behind boilerplate disclaimers. He claimed the company failed to provide clear warnings, shifted unreasonable responsibility onto users, and did not properly verify the accuracy of its underlying training data.
What The Law Says: Can You Sue AI in India?
While this case unfolded abroad, it raises critical questions for millions of Indians who now use AI chatbots for medical tips, relationship advice, financial planning, and legal drafting. If an AI gives you bad advice in India, can you drag the developer to consumer court?
Under Indian law, your primary shield against faulty goods and bad advice is the Consumer Protection Act, 2019. The Act introduced clear rules around two major concepts: product liability and deficiency in service.
- Product Liability (Section 84 & 85): Under the Consumer Protection Act, a product manufacturer or service provider can be held liable to compensate a consumer for harm caused by a defective product or deficient service. Harm includes personal injury, property damage, or mental agony.
- Unfair Contracts (Section 2(46)): Companies often force users to accept one-sided clickwrap agreements that say “we are not responsible for anything.” Indian consumer courts have the power to strike down terms that excessively favor the company or limit their basic liability.
- Deficiency in Service (Section 2(11)): Any fault, imperfection, or shortcoming in the quality and manner of performance required by law can be treated as a deficiency.
The Big Legal Hurdle: Proximate Cause
Winning a case against an AI developer is far from easy. Under the law of torts (civil wrongs) and consumer protection, a claimant must prove causation. This means you must show a direct, unbroken chain between the wrong advice and the actual harm suffered.
In Shi’s case, he blamed the chatbot for a road accident involving his relative. Under Indian jurisprudence, superstition, spiritual bad luck, or astrological misfortune cannot establish proximate cause. A court looks for material causation: did the advice physically cause the brake failure or the crash? Obviously not. Because the damage is legally too remote, a claim linking bad luck to software advice would fail the causation test.
However, the scenario changes completely if the bad advice directly causes physical or financial harm. For instance, if an AI medical tool recommends a dangerous drug dosage or an AI accounting bot miscalculates taxes leading to heavy penalties, the link between the tool and the financial or physical loss is direct. In such situations, liability becomes a real legal battle.
Why This Matters For You
Generative AI platforms are incredible tools, but they are prediction engines, not licensed professionals. In the eyes of the law, software disclaimers still hold significant weight unless gross negligence or fraud can be proven.
Whenever you use automated chatbots for critical matters — whether it involves healthcare, legal rights, investments, or important family traditions — treat the output as a starting draft, not final counsel. While consumer laws are evolving rapidly around artificial intelligence, the courts will always expect users to exercise basic common sense before acting on automated answers.
Story reported by NDTV News Search Records Found 1000. This article is BareLaw’s independent explanation and analysis.
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