Getting AI for schoolwork right: 25 helpful prompts + usage tips | Kaspersky official blog

The article explains that popular AI chatbots are based on large language models trained to predict the most likely next token in text sequences. These models do not reason but generate responses based on learned patterns, which can lead to errors known as hallucinations. AI performance varies by language due to training data biases, with English generally better supported. The article also notes that feeding large amounts of data to AI can degrade response quality and that chatbots often tailor answers to user assumptions. It advises educating children on these limitations to use AI as a study aid rather than a substitute for critical thinking.

There is no direct security threat or vulnerability described. The impact is educational and cognitive, relating to the potential for users, especially children, to receive inaccurate or misleading information from AI tools. This could affect learning outcomes but does not constitute a cybersecurity risk or exploit.

No security mitigation is required as this is not a vulnerability or threat. The article recommends educating users about AI limitations to reduce reliance on potentially incorrect AI-generated information.