Governance:Comprises the organisational structure, policies, processes, regulation, roles, responsibilities and risk management frameworks that ensure the safe and responsible use of AI in a way that is fit for the future. It emphasis the need for cross-functional expertise, leadership commitment, fost...
and brought huge opportunities to the world. However, AI technologies also bring about unpredictable risks and complicated challenges. The governance of AI, a common task
These examples demonstrate how AI governance happens in different contexts: The General Data Protection Regulation (GDPR): The GDPR is an example of AI governance, particularly in the context of personal data protection and privacy. While the GDPR is not exclusively focused on AI, many of its pr...
C. the gap in AI technology between countries D. the trend of AI taking easy jobs 2. What do we know about the global action Wu Zhaohui mentioned? A.China did well in AI governance. B. Countries can take adv...
The main focus of AI governance is on AI -- in terms of how it relates to justice,data qualityand autonomy. Overall, AI governance determines how much of daily lifealgorithmscan shape and who monitors how AI functions. Some key areas governance addresses include the following: ...
Are all third-party vendors and partners following the required risk mitigation and governance standards? Methodology in action: The potential impact of AI across Gulf Cooperation Council countries Many countries in the Gulf Cooperation Council (GCC)—which comprises Bahrain, Kuwait...
more rewarding than it may seem at the start. Taking a realistic view of the challenges inherent in developing AI at scale can help government develop the right capabilities, the right strategies, and the right governance to make sure that the AI of the future serves the citizens of the ...
The international community, on its part, must collaboratively strive to formulate and enforce these standards through cross-border cooperation, not least because AI holds immense potential in improving global governance. For instance, using data analysis and pattern recognition, AI can predict and addre...
从反馈学习（Learning from Feedback）、在分布偏移下学习（Learning under Distribution Shift）、对齐保证（Assurance）、AI治理（Governance）是当下AI Alignment 的四个核心子领域。它们构成了一个不断更新、迭代改进的对齐环路（Alignment Cycle）。作者整合了多方资源，包括教程，论文列表，课程资源（北大杨耀东RLHF八讲...
从反馈学习(Learning from Feedback) 、在分布偏移下学习(Learning under Distribution Shift) 、对齐保证(Assurance) 、AI 治理(Governance) 是当下 AI Alignment 的四个核心子领域。它们构成了一个不断更新、迭代改进的对齐环路(Alignment Cycle)。 作者整合了多方资源,包括教程,论文列表,课程资源 (北大杨耀东 RLHF...