This paper investigates the complex interplay between AI developers, regulators, users, and the media in fostering trustworthy AI systems. Using evolutionary game theory and large language models (LLMs), we model the strategic interactions among these actors under different regulatory regimes. The research explores two key mechanisms for achieving responsible governance, safe AI development and adoption of safe AI: incentivising effective regulation through media reporting, and conditioning user trust on commentariats' recommendation. The findings highlight the crucial role of the media in providing information to users, potentially acting as a form of "soft" regulation by investigating developers or regulators, as a substitute to institutional AI regulation (which is still absent in many regions). Both game-theoretic analysis and LLM-based simulations reveal conditions under which effective regulation and trustworthy AI development emerge, emphasising the importance of considering the influence of different regulatory regimes from an evolutionary game-theoretic perspective. The study concludes that effective governance requires managing incentives and costs for high quality commentaries.

本研究探讨了人工智能开发者、监管者、用户与媒体之间复杂的相互作用，以促进可信赖的人工智能系统。通过博弈论和大语言模型分析，提出了两个关键机制，强调媒体在提供信息、激励有效监管及影响用户信任方面的关键角色，研究结果显示，媒体能够在缺乏机构监管的情况下，发挥“软”监管的作用。

媒体与负责任的人工智能治理：博弈论与大语言模型分析