Q&A: What makes people trust ChatGPT?
How should users verify the accuracy of ChatGPT's responses?
Users should evaluate ChatGPT's responses for specificity to their questions and cross-verify the information with non-LLM technology sources, such as traditional search engines. They should also consider the authenticity of the information provided and be cautious of potential biases. Refining prompts can help obtain more specific answers, but users should always verify the information using other platforms.
What are the risks of AI "hallucinating" information?
AI hallucinations pose several risks, including the spread of misinformation, reputational harm, and potential harm to users relying on inaccurate information. These hallucinations can also lead to a loss of trust in AI systems and impact their adoption. Moreover, in sensitive contexts like healthcare, AI hallucinations could lead to incorrect diagnoses or treatments.
What features make users trust Google and Wikipedia over ChatGPT?
Users trust Google for its diverse search results and transparency, such as labeling sponsored ads. Wikipedia is trusted for its edit function, as users can correct inaccuracies. ChatGPT is liked for its interactive features and human-like conversation, but users are skeptical of its results as they lack reference information.