Agentic AI systems may perpetuate or amplify biases present in their training data or design. In collaborative contexts, this raises ethical concerns regarding fairness and equity, as decisions influenced by biased AI can negatively impact certain groups disproportionately. Continuous monitoring and bias mitigation strategies are necessary to uphold ethical standards.
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