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Data Governance

Dear directors and executives, good afternoon. I am delighted to be invited by the Taiwan Directors Association to share legal issues related to AI with you at Chia Hsin Cement Corporation. Today's topic is "Governance and Challenges of Intellectual Property Compliance in the AI-Driven Era." With the rapid development of artificial intelligence (AI) technology, corporate boards are facing unprecedented governance challenges, and the role of boards is also transforming. We will explore this from four perspectives: First, what governance challenges AI technology development brings to boards and how board roles are changing. Second, the importance of intellectual property rights in the AI era and risk management. Third, how to leverage generative AI to enhance intellectual property governance effectiveness. Finally, the responsibilities and practical directions boards should undertake in the AI era across four dimensions: governance, transparency, digital, and innovation. I hope through these insights to help you prepare comprehensively in corporate compliance and governance. I. Governance Challenges and Board Role⋯ 
Data Governance is a collection of activities (planning, monitoring, and executing) that exercise authority and control over data asset management. The data governance function guides how other data management functions should be executed. Under this definition, corporate data governance refers to an organization's management and control of data during its operations to ensure data quality, availability, security, and regulatory compliance. The purpose of corporate data governance is to enable companies to effectively manage their data resources, enhance decision-making processes, and improve business operational efficiency. From a legal perspective, it concerns how data from front-end collection to back-end utilization or sharing can serve the company while avoiding illegal data collection, processing, and utilization, as well as how to avoid misuse, misjudgment, leakage, or other regulatory compliance risks. "Data is the oil of the 21st century," but data and oil differ substantially in nature. First, oil is a finite natural resource that inevitably diminishes with extraction; data, however, becomes increasingly easier to⋯