- AI agents are here, but how autonomous should they be?
The reality is that when AI starts making decisions on its own, it becomes harder to pinpoint responsibility when things go wrong The more autonomous AI becomes, the more we need to establish frameworks for accountability, especially in high-stakes areas like health care and law enforcement
- The rise of autonomous agents: What enterprise leaders need . . .
As AI agents take on more decision-making responsibility, organizations must establish clear ethical guidelines—especially in contexts involving customer data, finances, or sensitive operations What makes this really important is the expectation gap: Users often demand perfection from technology, in this case AI agents, while accepting
- Rethinking decision making to unlock AI potential | McKinsey
Here, the loan origination journey is orchestrated by a network of agentic AI systems—autonomous, reasoning agents capable of executing and adapting entire workflows end to end They don’t just execute predefined workflows, as traditional AI could, or transform unstructured data into new insights or media, as gen AI can
- The role of agentic AI in shaping a smart future: A . . .
We identify a research gap in synthesizing the diverse capabilities of Agentic AI (e g , multimodal processing, hierarchical architectures, and machine learning outsourcing) and providing actionable strategies for adoption
- Autonomous Agents: The Next Frontier in AI | HatchWorks AI
Unlike basic automation, autonomous agents plan ahead instead of just executing a single command This is where AI models and decision frameworks come in: LLM-based reasoning – Using models like GPT-4 or Mixtral for high-level decision-making
- AI Agents: The Future of Autonomous Decision-Making
The rise of AI agents marks a significant shift in the way we approach problem-solving, decision-making, and automation As these agents become more capable, they will continue to transform industries, improve operational efficiency, and unlock new possibilities for innovation
- Autonomous AI Agents: Leveraging LLMs for Adaptive Decision . . .
LLMs have become the cognitive backbone of autonomous AI agents Originally developed for natural language understanding and generation, these models have evolved into versatile systems capable of: LLMs excel at interpreting nuanced and complex queries
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