KubeCon + CloudNativeCon + Open Source Summit + AI_dev China 2024

Ethics serve as the compass guiding responsible innovation and societal progress. This presentation blends ethics, cloud computing, and AI advancement, spotlighting the imperative of upholding responsible AI practices, particularly within the Asian market. From safeguarding data privacy and fortifying cybersecurity to navigating regulatory compliance and governance, this comprehensive discourse delves into multifaceted dimensions essential for ethical AI development. As Asia, including China, propels the frontier of AI innovation, the imperative of embedding ethics and responsible practices becomes increasingly pronounced. This session is tailored to provide actionable strategies and regulatory insights for Asian leaders. Together, we'll empower attendees to become champions of responsible AI practices, fostering a culture of integrity and innovation in the vibrant and diverse tech landscape of Asia.

伦理道德是引导负责任创新和社会进步的指南。本次演讲融合了伦理、云计算和人工智能的进步，重点关注在亚洲市场内坚持负责任人工智能实践的必要性。从保护数据隐私和加强网络安全到遵守监管合规和治理，这场全面的讨论深入探讨了对伦理人工智能发展至关重要的多方面维度。 随着亚洲，包括中国，推动人工智能创新的前沿，嵌入伦理和负责任实践的必要性变得日益突出。本场演讲旨在为亚洲领导者提供可行的策略和监管洞察。 让我们共同助力与会者成为负责任人工智能实践的倡导者，在亚洲充满活力和多样化的科技领域中培育诚信和创新的文化。

Join me to explore Responsible AI's vital role in shaping technology ethically. We'll navigate ethical dilemmas and societal impacts, emphasizing the urgency for frameworks prioritizing human well-being. At the core is the Responsible AI Framework by Generative AI Commons, guiding developers, researchers, and policymakers. Through transparency, fairness, accountability, and inclusivity, it empowers stakeholders to uphold ethical standards across the AI lifecycle. Let's journey towards an AI-powered future that's not just innovative but also ethically responsible.

加入我，探索负责任人工智能在塑造技术道德方面的重要作用。我们将探讨伦理困境和社会影响，强调制定以人类福祉为重点的框架的紧迫性。核心是生成式人工智能共同体的负责任人工智能框架，指导开发人员、研究人员和政策制定者。通过透明度、公平性、问责制和包容性，它赋予利益相关者在整个人工智能生命周期中维护伦理标准的能力。让我们一起走向一个不仅创新而且道德负责的人工智能驱动的未来。

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。