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Artificial intelligence is extremely good at processing patterns, but it does not understand context the way humans do. When AI is used without proper framing, background information, or constraints, it can produce confident but misleading results.

Context matters because AI systems rely on probabilities, not judgment. Without knowing goals, consequences, or real world nuance, AI can amplify errors, reinforce bias, or give advice that sounds correct but fails in practice. The danger is not that AI makes mistakes, but that it makes them persuasively.

As AI becomes more integrated into decision making, the responsibility shifts to humans to provide clarity. Clear prompts, defined boundaries, and human oversight are essential.The more influence AI has, the more important context becomes.

Used correctly, AI is a powerful tool. Used without context, it becomes a liability.

Discussion:
Where should the line be drawn between AI assistance and human responsibility?