India, May 1 -- Autonomous decision-making refers to the capability of AI systems to independently analyse data, make decisions, and take actions without requiring real-time human intervention. These systems draw on algorithms, machine learning models, and vast datasets to operate across a range of use cases, from customer service chatbots and fraud detection to healthcare diagnostics and financial forecasting. As AI becomes more deeply integrated into high-stakes domains, the decisions made by these systems increasingly impact people, processes, and outcomes in tangible ways.
While the benefits, speed, scalability, and consistency are undeniable, autonomous decision-making also introduces complex ethical challenges. Questions around tra...
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