Knowledge manipulation in artificial intelligence refers to the processes and techniques used to create, modify, or reinterpret knowledge representations within an AI system. This can involve altering data, changing the relationships between concepts, or adapting algorithms to influence the AI's understanding and decision-making. Such manipulation can enhance an AI's performance, improve learning outcomes, or even introduce biases, raising ethical concerns regarding transparency and accountability in AI systems.
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