In our fast-paced world, the reliance on AI for quick answers raises concerns about the authenticity of the responses. Studies by John Boyer and Wanda Boyer emphasize the phenomenon of AI 'hallucinations', where the AI generates information that appears credible but is inaccurate. Dinesen Østergaard and Nielbo critique the term 'hallucination' as misleading and argue for a better understanding, noting that AI errors are based on its training data. Differentiating between proper AI usage for brainstorming or citation is vital for users to navigate these challenges effectively.
AI has the dangerous tendency to generate incorrect answers that look authentic and authoritative, misleading users and complicating the distinction between fact and fiction.
Some scholars argue that referring to AI-generated errors as 'hallucinations' is stigmatizing, highlighting the need for precise terminology and context in understanding these complications.
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