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What are the major drawbacks and limitations of ChatGPT and other AI language models?

AI systems can perpetuate and amplify existing biases and prejudices from their training data, leading to unfair outcomes and decisions.

Lack of transparency and explainability in AI decision-making processes makes it challenging to identify and address biases.

AI systems can be vulnerable to adversarial attacks, which can manipulate their outputs and compromise their integrity.

AI systems may automate human tasks, leading to job losses and economic disruption.

Over-reliance on AI systems can erode critical thinking skills and problem-solving abilities among humans.

AI systems can struggle with nuances and context, leading to mistakes and inaccuracies.

AI models like ChatGPT cannot be used as authoritative sources of information.

AI systems lack the ability for artistic expression; they can mimic art but not replicate its qualities.

Overuse of AI tools like ChatGPT can lead to decreased creativity and originality in human output.

AI systems can face challenges in understanding sarcasm, humor, and cultural nuances.

AI models can sometimes generate incorrect or misleading information.

AI systems may not always respect user privacy, potentially leading to data leakage or misuse.

AI models like ChatGPT might face limitations in understanding and processing real-world consequences and ethical implications of their outputs.

AI development and deployment can be hampered by legal and regulatory compliance challenges.

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