The rapid adoption of agentic AI systems—autonomous software that takes actions on behalf of users—is outpacing the legal and ethical frameworks needed to govern them. When a large language model (LLM) acts unpredictably or causes harm, the question of responsibility becomes murky.
"The missing piece in the agentic story is accountability when LLMs go off-script."
Who should be held liable: the developer who trained the model, the company that deployed the agent, the user who set it in motion, or the AI itself? As agents become more autonomous, we can't rely on old rules. Clear lines of accountability are essential before we trust these systems with critical tasks.