Which of the following is the GREATEST concern associated with the use of artificial intelligence (AI) language models?

While AI models can be hacked or exploited, this is a general security concern applicable to many systems, whereas bias is a more intrinsic and complex issue specific to the learning nature of AI.

Generating inaccurate or fabricated content (hallucination) is a known issue, but it often can be addressed through human review and fact-checking, unlike the more subtle and pervasive issue of inherent bias.

Staff becoming overly reliant on an AI model is a concern related to human-computer interaction, but it is secondary to the fundamental ethical problem of the model itself producing biased outputs.

AI language models learn from vast datasets which often contain inherent human or societal biases; these models can perpetuate and even amplify such biases, leading to unfair, discriminatory, or ethically problematic recommendations.