Agentic AI is an advanced form of artificial intelligence that autonomously makes decisions, adapts to real-time data, and executes tasks without human intervention. Unlike traditional AI models, which need human oversight for retraining and validation, agentic AI autonomously defines its goals and priorities. Applications range from household robots maintaining cleanliness to businesses utilizing data analysis for targeted marketing. Despite its efficiency and potential for freeing up human resources for strategic initiatives, agentic AI raises significant ethical concerns, particularly regarding data privacy, bias, and accountability. As organizations increasingly deploy these systems, they must ensure robust data security and ethical frameworks to manage risks. The evolution of agentic AI challenges the human-machine relationship, emphasizing the need for consistent oversight and continuous bias mitigation. With the ongoing integration of these technologies, a focus on transparent practices and ethical use is essential to harness their capabilities while safeguarding against potential harms.
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