How to set the rules that keep agents effective and out of trouble The post What AI Agents Should Never Do on Their Own appeared first on Towards Data Science .
By Sara Nobrega
What our over-dependence on external consulting teaches us about delegating our minds to machines The post The Big Con of Agentic AI appeared first on Towards Data Science .
By Chinmay Kakatkar
Computer scientist Phillip Isola cuts through the hype to explain how AI agents work and what the future might hold for this rapidly advancing technology.
By Adam Zewe | MIT News
On the value of building on existing foundations The post Using Classical ML to Empower AI Agents appeared first on Towards Data Science .
By Stephanie Kirmer
The article reviews the emergence of Agentic AI, covering its evolution, theoretical foundations, working principles, and architectural aspects. It surveys recent scholarly contributions across various domains, highlighting real‑world applications, current research findings, and existing challenges. The review also proposes a framework for stakeholder adoption and outlines future research directions to guide researchers and practitioners.
By AKM Bahalul Haque, Al Amin Islam Ridoy, Mohammad Rayhan, Ivan Porres
The article "How to Govern AI Agents" discusses strategies for overseeing a single AI agent and expanding those governance practices to manage a fleet of agents. It explores the challenges and solutions involved in scaling control mechanisms as the number of agents increases. The piece highlights practical approaches for ensuring reliable and ethical operation across multiple AI systems.
By Amber Roberts