As Google and Microsoft race to develop sophisticated agentic AI systems, the complexities of how these agents interact—and the legal ramifications of their actions—remain a significant concern. The potential for miscommunication or error among AI agents raises critical questions about accountability. Who is responsible when an AI makes a mistake: the developer, the user, or the AI itself? It’s a nuanced issue that highlights the need for clear legal frameworks and ethical guidelines. Personally, I believe that as we continue to innovate, we must prioritize transparency in AI decision-making processes to mitigate risks and ensure public trust. What measures do you think should be put in place to hold AI accountable for its actions? #AIEthics #Accountability #MachineLearning #TechnologyTrends