Understanding Control and Accountability in Agentic AI

As AI technology evolves, the use of agentic AI, where agents instruct other agents, is increasingly prevalent across various sectors, including media and advertising. This evolution raises significant concerns about who controls these systems and bears responsibility for their actions, especially when errors occur.

Key Takeaways

The growing application of agentic AI complicates accountability and control. Media and ad executives are concerned about who oversees the decision-making process when AI agents are instructed by other AI agents. This challenge underscores the need for clear frameworks and accountability measures to ensure the responsible use of AI technology.