AI Tools Best Practices Misconceptions

What we verified before publishing

Fact-check status: passed

The following claims were verified through Perplexity Sonar before the questions were finalised. The host can reference any of them during play:

• Generative AI creates new content like text or images, while predictive AI analyzes historical data to forecast future outcomes.
• An AI hallucination occurs when a model generates information that is false, nonsensical, or not grounded in its training data.
• A prompt is the input, instruction, or context provided to an AI model to trigger a specific response or action.
• Users should never input sensitive, confidential, or proprietary data into public AI systems because inputs may be used for model training.
• AI models do not have true understanding or judgment; they generate responses by identifying statistical patterns in training data.
• Human oversight is essential because AI tools can produce confident-sounding but factually incorrect information.
• Prompt engineering is the practice of designing and optimizing instructions to guide AI models toward generating desired responses.
• AI tools are task assistants that augment human work rather than replacements for human critical thinking and decision-making.
• To improve AI output accuracy, users should provide clear context, specific instructions, and examples within their prompts.
• Many AI platforms allow users to opt out of having their conversation history used for future model training in their privacy settings.