w88 casino News Network (provided by the Law w88 casino)As one of the most widely used biometric technologies, facial recognition technology takes data as its body, artificial intelligence algorithms as its application, and humans themselves as its object. It has many advantages such as non-replicability, non-contact, scalability, rapidity, and multi-dimensionality. It has become a new engine for promoting the development of the artificial intelligence industry and has brought new opportunities for the development of my country's digital economy and society.However, while the facial recognition industry is advancing by leaps and bounds, risks of abuse of facial recognition technology continue to emerge, posing huge challenges to the protection of the legitimate rights and interests of individuals and organizations, as well as national security.Especially with the advent of the era of generative artificial intelligence, new business formats for synthesizing and generating facial information have begun to emerge.How to protect personal facial information, prevent false information, and safeguard public interests have become major issues that the facial recognition industry must face.
2024Year7month25Day, China Artificial Intelligence Industry Development Alliance (AIIA) held the twelfth plenary session in Beijing. at the meetingDigital Economy and Legal Innovation Research Center of w88 casino, Artificial Intelligence Research Institute of China Academy of Information and Communications Technology, Baidu CompanyReleased the "Research Report on Legal Governance of the Face Recognition Industry" (hereinafter referred to as“《Report》”）。
The report is based on the idea of industrial ecological governance and emphasizes comprehensiveness“People—Technology—Society”Three-dimensional perspective, comprehensive management of face recognition technology. First, based on the division of roles of all parties involved in the industrial ecology, the main entities are classified into: technology providers as the source of living water, and facial products as the central hub/Service provider, face recognition product as the last level/Service user. The second is to refine the systematic obligations and responsibilities of different entities from various dimensions such as data security, personal information protection, algorithm governance, and product quality. The third is to combine my country's special legal regulations on deep synthesis algorithms, generative artificial intelligence, etc., with special attention to the face recognition governance issues in generative synthesis application scenarios.
The report highlights are as follows:
●In-depth industrial practice,Provider of facial recognition technology and facial recognition products/Service providers and face recognition service users are the longitude, and data governance, personal information governance, and algorithm governance are the longitude. We have refined an intertwined face recognition industry ecological governance system with native credibility as the goal.
●Have an international perspective,On the basis of sorting out and comparing the regulatory laws of various countries, we refined China's governance plan that is in line with the development of my country's facial recognition industry and responds to my country's regulatory concerns.
●Based on China’s experience,Discover and summarize the best practices of my country's face recognition industry, and promote the development of my country's face recognition industry to be people-oriented and constantly for good.
The report directory is as follows:
Chapter 1 Ecological Map of the Face Recognition Industry
1. Face recognition technology ecology
2. Face recognition product/service ecology
3. Facial recognition service usage ecology
4. Face generation and synthesis ecology
Chapter 2 Governance experience in the face recognition industry
1. The governance experience of facial recognition in the United States
2. EU facial recognition governance experience
3. China’s face recognition governance experience
Chapter 3 The legal governance landscape of the face recognition industry
1. Basic principles of ecological governance of the face recognition industry
2. Ecological governance of face recognition technology
3. Facial recognition product/service ecological governance
4. Ecological governance of face recognition service use
5. Face generation and synthesis ecological governance
Chapter 4 Best Practices in Facial Recognition Industry
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