Session
Data Governance & Trust
Data Privacy and Protection
Organizer 1: di Ge, China Federation of Internet Societies
Organizer 2: 晓春 刘, University of the Chinese Academy of Social Sciences
Organizer 3: 海泉 龙, Cyberspace administration of China Data and Technical Support Center
Organizer 4: 叶红 徐, DiDi Chuxing Science and Technology Co., Ltd.
Organizer 5: 传熙 焦, Big Date Center of HeBei
Organizer 6: 亮日 禹, Korea Game Distribution Association
Speaker 1: Hui Zhao, Civil Society, Asia-Pacific Group
Speaker 2: 维 林, Civil Society, Asia-Pacific Group
Speaker 3: 颖 姜, Government, Asia-Pacific Group
Speaker 4: Grace Li, Civil Society, Asia-Pacific Group
Speaker 5: O. Carter Snead, Civil Society, Asia-Pacific Group
Speaker 6: 叶红 徐, Private Sector, Asia-Pacific Group
Speaker 7: 晨 陈, Private Sector, Asia-Pacific Group
晓春 刘, Civil Society, Asia-Pacific Group
晓春 刘, Civil Society, Asia-Pacific Group
晓春 刘, Civil Society, Asia-Pacific Group
Round Table - 90 Min
To promote the benign interaction between the development of AI and data governance: (1) How data governance can improve the trust of AI and ensure the sustainable development of AI? (2) What new challenges does the new development of AI (like ChatGPT) bring to data governance, how to address them?
To coordinate possible conflicts between them: (1) What are the possible aspects of the conflicts? (2) What role can governments, enterprises and social organizations play in responding to this problem? (3) How to improve the consensus of countries on data governance rules in the AI field and avoid fragmented governance?
What will participants gain from attending this session? Overall, participants in this workshop will observe the relationship between AI technology and data governance from a new perspective, and learn about the new development of AI technology and the challenges and opportunities it brings to data governance. In addition, the focus of their learning may vary for different audiences:
(1) For ordinary consumers, they can understand the potential harm of AI products to their personal information (privacy) protection, and learn how to reduce this harm.
(2) For enterprises, they can understand how to strengthen compliance in data governance when developing or applying AI products to reduce the possibility of violating the law.
(3) For governments, they can fully understand the complex relationship between AI technology and data governance, and better coordinate the promotion of sustainable development of AI technology and data protection in future policymaking and law enforcement processes.
Description:
Data is the fuel of AI technology. Data governance has an important impact on the development of AI technology. AI technology can also provide technical support for data governance. Current technical practice shows that the challenges brought by AI technology to data governance require full attention from policymakers in various countries. At the end of 2022, the advent of ChatGPT triggered a new upsurge in people's discussion on AI governance, among which the risks posed by ChatGPT to privacy protection and trade secret disclosure received the highest degree of attention, and governments are actively responding to these risks through legislation and law enforcement.
We believe that, AI as a data-driven technology, strengthening data governance in this field is of great significance in improving the trust of AI and ensuring the sustainable development of AI technology, such as improving the level of privacy protection, preventing the disclosure of trade secrets, and preventing discrimination in AI technology by improving data quality and diversity. However, considering the role of AI technology development in promoting social interests, data governance needs to be carried out within a reasonable range, otherwise it may excessively reduce the availability, quality and mobility of data, thus constituting an obstacle to the development of AI technology. Policymakers need to strike a stable and reasonable balance between the two. This workshop will focus on this issue, discuss how policymakers should balance the development of AI technology with data governance, and seek wisdom from governments, academia, social organizations and enterprises.
The following is a brief flow of the workshop:
1. Introduction (5 minutes)
2. Speaker Remarks (40 minutes)
3. Guided Discussion (30 minutes)
4. Q&A (10 mins): Invite online and on-site audiences to ask questions about the workshop.
5. Summary (5 minutes)
Through this workshop, we would like to achieve the following outcomes:
First, through the questions raised and the views raised by the speakers, the participants can realize the relationship between artificial intelligence technology and data governance, and create a better policy environment for the sustainable development of AI technology while correctly and timely responding to the challenges brought by AI technology to data governance.
The second is to give full play to the wisdom of experts from different countries and fields to discuss specific ways to achieve the above goals.
The third is to establish an international dialogue mechanism on data governance rules in the field of AI, and promote exchanges between scholars, enterprises and governments in this field to provide more international policy recommendations.
Hybrid Format: 1. When conditions permit, the organizers will invite guests to Japan to participate in the workshop offline, and will consider: First, organize equipment debugging work before the workshop to ensure that the speakers participating online are in a good network environment; Second, invite keynote speakers to speak, and the moderator will control the rhythm and guide the questions; Third, strictly control the speaking time to ensure the participation of each speaker and the process of the workshop; Fourth, allow time for the audiences to ask questions to improve the sense of gain of the participants.
2. The organizer will design and produce videos, animations, posters, etc. around the theme of the workshop, and disseminate them through multimedia to stimulate the thinking of participants and audiences and create an atmosphere of common participation.