The rapid developments in Artificial Intelligence (AI) and the intensification in the adoption of AI in domains such as autonomous vehicles, lethal weapon systems, robotics and alike pose serious challenges to governments as they must manage the scale and speed of socio-technical transitions occurring. While there is considerable literature emerging on various aspects of AI, governance of AI is a significantly underdeveloped area. The new applications of AI offer opportunities for increasing economic efficiency and quality of life, but they also generate unexpected and unintended consequences and pose new forms of risks that need to be addressed. To enhance the benefits from AI while minimising the adverse risks, governments worldwide need to understand better the scope and depth of the risks posed and develop regulatory and governance processes and structures to address these challenges. This introductory article unpacks AI and describes why the Governance of AI should be gaining far more attention given the myriad of challenges it presents. It then summarises the special issue articles and highlights their key contributions. This special issue introduces the multifaceted challenges of governance of AI, including emerging governance approaches to AI, policy capacity building, exploring legal and regulatory challenges of AI and Robotics, and outstanding issues and gaps that need attention. The special issue showcases the state-of-the-art in the governance of AI, aiming to enable researchers and practitioners to appreciate the challenges and complexities of AI governance and highlight future avenues for exploration.

中文翻译：

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人工智能治理

人工智能 (AI) 的快速发展以及人工智能在自动驾驶汽车、致命武器系统、机器人技术等领域的广泛采用给政府带来了严峻挑战，因为它们必须管理社会技术转型的规模和速度. 虽然有大量关于人工智能各个方面的文献出现，但人工智能的治理是一个明显欠发达的领域。人工智能的新应用为提高经济效率和生活质量提供了机会，但它们也产生了意想不到的和意想不到的后果，并带来了需要解决的新形式的风险。为了提高人工智能的收益，同时将不利风险降至最低，世界各国政府需要更好地了解所构成风险的范围和深度，并制定监管和治理流程和结构来应对这些挑战。这篇介绍性文章对 AI 进行了解读，并描述了为什么 AI 的治理应该获得更多的关注，因为它带来了无数的挑战。然后，它总结了特刊文章并突出了它们的主要贡献。本期特刊介绍了人工智能治理面临的多方面挑战，包括新兴的人工智能治理方法、政策能力建设、探索人工智能和机器人技术的法律和监管挑战，以及需要关注的突出问题和差距。特刊展示了人工智能治理的最新技术，