Have you ever found a video on social media that made you question the technology that you use every day?
This is exactly what happened to me recently, and it led me to the bottom of a rabbit hole from unexpected discoveries about the feature of my iPhone.
Tiktok video that started everything
Everything began when I encountered a video of Tiktok, claiming that when using the Apple feature, a sound feature, saying that the word “racist” would initially write the word “Trump” before it quickly correct it. I felt somewhat distress and skeptical, I felt that I had to investigate this claim myself.
Screengrab of Tiktok shows the iPhone feature to “Trump” text (Tiktok)
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Put it in the test
In my phone, I opened the messaging application on the iPhone and started my experience. For my amazement, the results reflected what Tiktok video showed. When I said “my racism”, the advantage of the sound to the text was initially written “Trump” before it quickly corrected it to “racism”. To ensure that this was not one time defect, I repeated the test several times. The pattern continued, leaving me greatly.
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A test that shows the iPhone feature to a text that writes “Trump” when the word “racist” was spoken (Cyberguy “Knutsson)
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This behavior raises serious questions about algorithms that run our voice recognition program. Could this be a state of artificial intelligence, as the system unintentionally created a link between certain words and political figures? Or is it just Quirk in the patterns of recognition of speech? One of the possible explanations is that the sound recognition program may be affected by contextual data and patterns of use.
Looking at the frequent link of the term “racist” with “Trump” in the media and public discourse, the program may make mistakes “Trump” when “racist” is spoken. This can be caused by the machine learning algorithms that adapt to the patterns of the prevailing language, which leads to unexpected copies.
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A person on iPhone (Cyberguy “Knutsson)
As a person relying on a text repeatedly to a text, this experiment made me a review of the amount of trust in this technology. Although incidents that can be relied upon are usually a reminder that the features that work on behalf are not infallible and can lead to unexpected and perhaps problematic results.
The sound recognition technique has taken great steps, but it is clear that the challenges remain. Issues related to the appropriate names, accents and context are still being addressed by developers. This incident emphasizes that although technology is advanced, it is still a continuous work. We contacted Apple to comment on this incident, but we did not hear again before the deadline.
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This inspired by Tiktok was open, at the very least. It reminds us of the importance of approaching technology with a critical eye and not taking every advantage as a Muslim matter to it. Whether this is a harmful defect or indicates a deeper issue of algorithm, there is one clear thing: we must always be ready to ask about the technology that we use. Certainly, this experience gave me the stop and reminds me of checking my voice messages to the text before sending it to another person.
How do you think companies like Apple should address these mistakes and prevent them in the future? Let’s know through our writing in Cyberguy.com/contact.
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