Row 58187
Content Data
This page contains data entry 58187 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
> Companies may be held liable for the mistakes of their agents. A [recent example](https://www.theguardian.com/world/2024/feb/16/air-canada-chatbot-lawsuit) is Air Canada being ordered to pay a customer who was misled by the airline's chatbot.
To be abundantly clear, here, they were held liable for the difference in fare... the guy was entitled to a lower fare and was given incorrect information on how to apply it. He received back not more than he was entitled.
This wasn't Air Canada's chatbot getting tricked into losing Air Canada money, because in the absence of the chatbot the guy would have read the page with the correct info and submitted the correct form prior to traveling.
| Field | Value |
|---|---|
| text | > Companies may be held liable for the mistakes of their agents. A [recent example](https://www.theguardian.com/world/2024/feb/16/air-canada-chatbot-lawsuit) is Air Canada being ordered to pay a customer who was misled by the airline's chatbot. To be abundantly clear, here, they were held liable for the difference in fare... the guy was entitled to a lower fare and was given incorrect information on how to apply it. He received back not more than he was entitled. This wasn't Air Canada's chat… |
| label | r/machinelearning |
| dataType | comment |
| communityName | r/MachineLearning |
| datetime | 2024-05-23 |
| username_encoded | Z0FBQUFBQm5Lak1YQjI1NF9JMnYyOE4zODlGd1JnSktleFQtQWVUdmxsUVdDTHJDZzF4RHpxcndiZGNxejNRa2h0Tmh3VkxuRUVTVzBheVBlWnhJTmNpZmd6TlpiUUQtRVE9PQ== |
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Raw Record
{
"text": "> Companies may be held liable for the mistakes of their agents. A [recent example](https://www.theguardian.com/world/2024/feb/16/air-canada-chatbot-lawsuit) is Air Canada being ordered to pay a customer who was misled by the airline's chatbot.\n\nTo be abundantly clear, here, they were held liable for the difference in fare... the guy was entitled to a lower fare and was given incorrect information on how to apply it. He received back not more than he was entitled. \n\nThis wasn't Air Canada's chatbot getting tricked into losing Air Canada money, because in the absence of the chatbot the guy would have read the page with the correct info and submitted the correct form prior to traveling.",
"label": "r/machinelearning",
"dataType": "comment",
"communityName": "r/MachineLearning",
"datetime": "2024-05-23",
"username_encoded": "Z0FBQUFBQm5Lak1YQjI1NF9JMnYyOE4zODlGd1JnSktleFQtQWVUdmxsUVdDTHJDZzF4RHpxcndiZGNxejNRa2h0Tmh3VkxuRUVTVzBheVBlWnhJTmNpZmd6TlpiUUQtRVE9PQ==",
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}
Entry Information
- Entry ID: 58187
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000