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  Digital Everywhere! How can we formulate appropriate AI norms   Zhan Tingyi, former chairman of the National Communications and Communications Committee, executive director of the Artificial Intelligence Technology Foundation, and vice-chairman of the Digital Economy and Industry Development Association (DTA), shared the topic of "International Observation and Possible Local Practice of AI Specification Implementation" The current observation of trends in Europe, America and Japan invites more people to discuss the next step of AI development in Taiwan. Technology is no longer the only challenge, safety is an urgent need   Faced with the gradual landing of 5G technology and the combination of artificial intelligence, we have ushered in a world where everything can be connected to the Internet. Zhan Tingyi reminded that we are already in a digital environment, and we are no longer faced with technical issues, but also how people in all walks of life make decisions, work, and interact with each other. The development of artificial intelligence will also drive the formation of artificial intelligence and normative ecosystems. How to establish a trustworthy AI environment has become an important topic. She believes that the biggest challenge in the application of artificial intelligence is not only technology, but also legal, policy and regulatory aspects. Coupled with the application of new AI technology, it is very likely to open up new manipulation or attack tools, and it will also involve privacy issues. In addition, how to avoid data bias is an inevitable challenge. It is obvious that this is no longer just a one-way application of technology, but will bring about changes in all levels and aspects of politics, economy, and politics. Facing the upcoming policy and normative challenges, what are our responses? Zhan Tingyi suggested that both IOT and AI must pay attention to security issues, including network security, IOT information security and close cooperation with law enforcement teams. The extremely urgent need of "digital evidence collection" cannot be ignored. Since it involves the protection of data and privacy, more detailed discussions are needed to formulate a better framework. Of course, the domain knowledge of different industries also needs to be included in the discussion. How can the EU accommodate the opinions of all parties in a short period of time?   The Institute of Electrical and Electronics Engineers (IEEE), the world's largest advanced technology innovation organization, released the second edition of the ethical guidelines for artificial intelligence design as early as 2017. They believe that with the ubiquitous impact of automation and AI applications, Social and policy guidelines need to be established to ensure that these systems are people-centred and serve human values ​​and ethics. Under this guideline, the application and development of AI technology should follow five principles, including not infringing on internationally recognized human rights, prioritizing indicators of human well-being in design and use, designers and operators being responsible and accountable, ensuring operational The method is transparent and the risk of abuse needs to be minimized. On the other hand, the European Commission has successively introduced relevant guidelines since 2018. It not only established the High-Level Expert Group on Artificial Intelligence (AI HLEG) in June of the same year, but also proposed the "May Ethics Guidelines for Trustworthy AI and published Policy and Investment Recommendations for Trustworthy Artificial Intelligence. According to the content stipulated in the "Ethical Guidelines for Trustworthy Artificial Intelligence", a trustworthy AI should have three major conditions: legal, ethical, and robust.  

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