Agentic AI’s leap from tools to actors sparks governance debate
Source: CoinWorld
Time: 2025-09-12 00:02:59
Agent AI is moving beyond conceptual stages, and now systems are able to perform complex tasks autonomously in areas such as customer service and logistics. While these AI agents are able to process multi-step workflows with minimal manual input, complete autonomy remains out of reach due to their reliance on predefined rules and manual data. Current limitations include the inability to adapt to new situations without explicit programming. Technology companies and startups are driving advances in this area by investing in multimodal perception and reasoning, while regulatory frameworks aimed at addressing ethical issues related to accountability and transparency are also emerging.