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Amazon smart home system shut down due to misheard “racism” at doorbell

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On February 18th, 2021, a disturbing incident occurred in California when an Amazon smart home system shut down due to a misheard word. The incident involved a delivery driver who was delivering a package to a customer’s home. As the driver approached the front door, he said the word “Nicholas” to himself, which was misheard by the Amazon smart home system as “n*****s.” This misinterpretation caused the system to shut down, leaving the customer unable to access their smart home devices.

The incident highlights the potential dangers of relying too heavily on technology in our homes. While smart home systems can provide convenience and security, they are not infallible and can misinterpret or mishear words and phrases. In this case, the misinterpretation of a single word caused a major disruption in the customer’s daily life.

The incident also raises concerns about the potential for racial bias in technology. The fact that the Amazon smart home system misheard the word “Nicholas” as a racial slur suggests that the system may have been programmed with racial biases. This is a troubling possibility, as it could mean that other smart home systems may also be prone to misinterpreting or mishearing words and phrases based on racial biases.

To prevent incidents like this from happening in the future, it is important for companies like Amazon to thoroughly test their smart home systems for potential biases and errors. Additionally, customers should be aware of the limitations of these systems and take steps to ensure that they are not overly reliant on them. This may include having backup systems in place, such as traditional locks and keys, in case of a smart home system failure.

Overall, the incident involving the Amazon smart home system shutting down due to a misheard word is a reminder of the potential dangers of relying too heavily on technology in our homes. While these systems can provide convenience and security, they are not infallible and can misinterpret or mishear words and phrases. It is important for companies to thoroughly test their systems for potential biases and errors, and for customers to be aware of the limitations of these systems and have backup systems in place.

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