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AI systems, locked in their data-worlds of text or simulated 3D environments, never even come close to this implicit knowledge. Not yet, at least.
Data poisoningBoth bad actors and human error can cause data poisoning. This phenomenon occurs when bad, malicious, or inaccurate information is fed into an AI model. This can cause a load of issues, including the AI reaching incorrect conclusions, erroneous analysis of company data, and bad code being pushed that can cause bugs and other problems.