KubeCon + CloudNativeCon + Open Source Summit + AI_dev China 2024

In the rapidly evolving landscape of AI, the concept of openness emerges as a cornerstone for ethical, accountable, and sustainable development. This talk delves into the significance of fostering openness in AI endeavors, exploring two groundbreaking efforts: the Open Source AI Definition led by the Open Source Initiative (OSI) and Model Openness Framework (MOF) introduced by LF AI & Data Generative AI Commons. Through the lens of the OSI's definition co-design process, we'll navigate the evolving landscape of Open Source AI, deciphering its potential to democratize access to cutting-edge technology while fortifying principles of inclusivity and collaboration. We'll unravel the transformative potential of the MOF to foster transparency and trust in AI models. By elucidating the core tenets of the framework and the definition, we'll illuminate pathways for advancing responsible AI development.

在人工智能快速发展的领域中，开放性的概念成为道德、负责任和可持续发展的基石。本次演讲深入探讨了在人工智能努力中培育开放性的重要性，探索了两项开创性的工作：由开源倡议组织（OSI）领导的开源人工智能定义和LF AI & Data生成人工智能共同体引入的模型开放性框架（MOF）。 通过OSI定义的共同设计过程，我们将探索开源人工智能不断发展的领域，解读其潜力，使人们能够民主化获得尖端技术，同时巩固包容性和合作原则。 我们将揭示MOF在促进人工智能模型透明度和信任方面的转变潜力。通过阐明框架和定义的核心原则，我们将阐明推进负责任人工智能发展的途径。