Tech companies are racing to build and sell agentic. The vision is one in which countless AI agents are acting on our behalf: searching the web, making transactions, interacting with other AI agents. But my guest Avijit Ghosh, Applied Policy Researcher at Hugging Face, explains why we’re not even close to having the appropriate safeguards in place. What are the massive gaps and what would it take to close them? That’s the topic of our discussion.
Avijit Ghosh is an Applied Policy Researcher in the Machine Learning and Society Team at Hugging Face, and an Associate Researcher in the RIET Lab at the University of Connecticut. He works at the intersection of machine learning, ethics, and policy.
Website: https://evijit.io/
AI Agent Framework: SmolAgents: https://huggingface.co/blog/smolagents
AI Agents Course: https://huggingface.co/learn/agents-course/en/unit0/introduction
Position paper: https://huggingface.co/papers/2502.02649
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