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Meta AI: Meta’s AI denies attack on Donald Trump, causing controversy
Key Points:
- Meta’s AI error : Meta’s chatbot responded incorrectly stating that the assassination attempt on Donald Trump never happened.
- Cause of AI "hallucinations" : The company attributes the error to so-called AI "hallucinations," a common problem in generative AI systems.
- Reactions and criticism: The error drew strong reactions, including accusations of censorship by Donald Trump.
- Remedial action: Meta is working to improve the accuracy of its chatbot’s responses, taking steps to avoid future errors.
AI Error Details.
In recent days, the AI of Meta, a chatbot designed to discursively answer users’ questions, has been at the center of a controversy. When users asked about the July 13 assassination attempt on Donald Trump in Pennsylvania, the chatbot responded that the event never happened.
The Causes of the AI’s "Hallucinations"
Meta explained that the error was due to AI "hallucinations," a phenomenon in which generative artificial intelligence systems produce responses that seem consistent but are actually false or misleading. This happens because such systems do not truly understand the world, but rely on patterns and training data that can sometimes generate inaccurate information.
Reactions and Accusations of Censorship
Donald Trump reacted harshly, accusing Meta and other large technology companies of censoring information about the attack. Trump urged his supporters to "go against" Meta and Google, accusing them of trying to manipulate public opinion and interfere with the 2024 presidential election.
Corrective Measures
Meta has acknowledged the error and is working to improve its chatbot responses. The company explained that the problem was initially addressed by programming the AIto avoid answering questions about rapidly developing and confusing events, such as the attack on Trump. However, this measure led to incorrect answers when the AI was "unlocked" to answer on this topic.
Conclusion
Meta’s chatbot error highlights the current challenges and limitations of generative AI technologies, especially when it comes to current events and real-time information. Meta is taking steps to improve the accuracy and reliability of its responses, working on more robust algorithms and more diverse training data to prevent similar incidents from occurring in the future.