14. Limitations of Using Generative AI
Generative AI presents numerous benefits in content creation and problem-solving, yet it is accompanied by significant limitations regarding accuracy, ethics, legality, and human interaction. Understanding these limitations is crucial for responsible and ethical use, especially among students who rely on these technologies. The need for human verification, awareness of biases, privacy concerns, and the implications of AI-generated content are all emphasized throughout the discussion.
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What we have learnt
- Generative AI can make mistakes, called hallucinations.
- It may show bias or generate offensive content.
- It raises issues of privacy, copyright, and misuse.
- AI is not creative or emotional like humans.
- Responsible and ethical use of AI is essential.
Key Concepts
- -- AI Hallucination
- Instances where generative AI produces incorrect or misleading outputs despite appearing accurate.
- -- Bias in AI
- The unintentional reflection of societal biases in AI outputs due to skewed training data.
- -- Privacy Concerns
- Issues related to the unauthorized generation or distribution of personal data through AI usage.
- -- Content Ownership
- The legal ambiguity regarding who holds rights to AI-generated content.
- -- Emotional Intelligence
- The ability to understand emotions, which generative AI lacks.
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