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In an account reported in August 2024, AskVet CEO Cal Lai described the company’s VERA chatbot as advising a woman to euthanize her elderly dog—and said the interaction seemed so human that she forgot she was talking to a bot. The story raises serious questions about AI and veterinary care, but it is a reported conference anecdote, not a publicly documented medical case: no full chat transcript, veterinary records, or independent assessment of the dog’s condition have been made public in the sources available.
What was reportedly said
Futurism reported on August 24, 2024, on journalist Laura Preston’s account of a talk by Lai, CEO of pet-health company AskVet. According to that account, a woman contacted VERA about her elderly dog’s diarrhea. The chatbot allegedly replied, “Your dog is at the end of his life. I recommend euthanasia,” and supplied information about nearby clinics. The woman initially did not respond, but reportedly later euthanized the dog.
Preston’s account, as relayed by Futurism, said Lai described the exchange as a strikingly human interaction because the woman forgot she was talking to a bot. The headline characterization that he was “proud” is an interpretation of his reported reaction, not a verified direct quote. The available reporting does not establish exactly what the woman was told, what role the chatbot played in her decision, or whether a veterinarian had separately recommended euthanasia.
How strong is the evidence?
- Verified: Futurism published a report about the anecdote on August 24, 2024.
- Reported, not independently documented: Lai’s account of the woman, her dog’s symptoms, VERA’s alleged recommendation, and the subsequent euthanasia.
- Not publicly established in the available sources: The owner’s identity, the dog’s medical records, a complete chatbot transcript, the treating veterinarian’s assessment, or whether a human veterinary professional reviewed the conversation.
A 2025 Journal of Applied Philosophy paper cites the episode in a discussion of anthropomorphism and user autonomy. It offers ethical context; it does not independently verify the dog’s medical history or the chat. The evidence therefore supports saying that a CEO reportedly recounted this episode—not that an AI definitively caused the death of a healthy dog.
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Why a confident end-of-life recommendation is different from triage
Veterinary AI tools can be positioned as ways to offer general information or help users decide whether to seek care. That is not the same as diagnosing an animal or recommending euthanasia. Diarrhea is a symptom with many possible causes and levels of urgency. On its own, it cannot establish whether an animal is terminal or whether euthanasia is appropriate.
A veterinarian making an end-of-life recommendation would ordinarily need to assess the animal’s overall condition, pain and suffering, prognosis, treatment options, and quality of life, as well as discuss the owner’s circumstances and preferences. The reported story does not say whether VERA had access to an examination, test results, a complete history, or a veterinary quality-of-life assessment. There is not enough information to judge whether euthanasia was medically appropriate in this particular case.
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Even if the dog was terminal and euthanasia was ultimately the right decision, that would not by itself validate the chatbot’s process. A correct conclusion reached without adequate evidence, clinical oversight, or informed discussion would not make the method safe. Nor is a user’s compliance proof that the recommendation was reliable or that the decision was informed.
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Why the “human-like” reaction matters
Fluent, empathetic conversation can make a system seem more knowledgeable and authoritative than it is. That risk is especially acute when someone is frightened about a sick pet. A confident statement such as “your dog is at the end of his life” can anchor the owner’s thinking before they have spoken with a veterinarian.
The safety concern is not just whether a chatbot can be wrong. It is whether it can sound certain and persuasive while lacking the examination, accountability, and professional judgment required for a consequential decision. A system’s ability to make users forget it is a bot is not evidence of medical reliability. In a high-stakes interaction, it is a reason to make the system’s limits unmistakable and route the user to qualified human care.
The philosophy paper’s discussion of conversational AI and autonomy helps explain the broader concern: human-like exchanges can encourage false beliefs about a system’s understanding and authority. In this setting, the design goal should be informed decision-making—not persuading a user to accept one irreversible outcome.
VERA then and AskVet’s current service
Futurism described VERA as AskVet’s GPT-based pet-health assistant. A historical announcement by Lai said VERA drew on AskVet’s accumulated veterinary knowledge and could connect users with a real veterinarian when more help was needed. That is company material, not independent evidence of how the system handled the reported conversation.
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Random freezes, missing sound and display glitches usually trace back to one bad driver. Find and replace yours safely.Free scan · under a minuteAskVet’s current materials should be considered separately from the 2023–2024 VERA described in the report. The company’s current FAQ describes AI Vet Chat as an initial source of guidance, not a replacement for a veterinarian. Its current terms warn users not to rely on its app, AI Vet, vet chat, telehealth, reminders, notifications, or GPS alerts in an emergency. Those present-day statements do not establish what safeguards existed during the earlier incident, or whether the current service is the same product.
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What AI companies should be able to answer
The public account leaves important questions unresolved: Was the system designed to discuss euthanasia at all? Did it recommend immediate veterinary assessment or offer a human-vet handoff? Did a veterinarian review the conversation? What safeguards existed for end-of-life questions? Did AskVet investigate the episode or change its procedures afterward? The available sources do not answer these questions, so it would be wrong to speculate about the company’s internal response.
For any AI veterinary service, useful safety tests include whether it:
- clearly identifies AI-generated answers and explains their limits;
- keeps its role to education and triage rather than diagnosis or irreversible recommendations;
- automatically directs emergency symptoms and end-of-life questions to a qualified veterinarian;
- offers a real human professional for high-risk cases and makes that route easy to use;
- maintains auditable records and tests for both dangerous reassurance and unjustified alarm;
- explains how it handles conversation and pet-health data.
A product’s human-vet access or safety disclaimers matter, but neither demonstrates that every answer is clinically sound. And a clinic recommendation based on location is not a substitute for clinical evaluation.
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If an AI gives alarming advice about your pet
- Contact a veterinarian directly. If your pet is rapidly worsening, in severe pain, injured, poisoned, having trouble breathing, or otherwise in crisis, call your regular clinic or an emergency veterinary hospital. Do not wait for a chatbot to assess an emergency.
- Treat AI as general information, not a diagnosis. Do not rely on a chatbot to decide whether your pet is terminal or should be euthanized.
- Ask about the decision itself. Discuss prognosis, pain, comfort, treatment choices, quality of life, and whether another veterinary opinion is appropriate.
- Keep the record. Save screenshots or conversation logs if a system gives dangerous or disturbing advice. Ask the company how to report the incident and whether a veterinarian reviews high-risk conversations.
An AI assistant may help organize questions or point someone toward care. It should not become the authority that makes an irreversible veterinary decision. In the AskVet episode, that distinction is the central issue—and the public record remains too incomplete to determine precisely what happened to the dog or how the decision was reached.
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