Safe and Ethical AI (SEA) Platform Network · Linking Artificial Intelligence Principles (LAIP)

4. Privacy Protection

The development of artificial intelligence needs to ensure the user's data security, artificial intelligence development must not be at the expense of user privacy, need to strengthen data protection legislation, enrich the technical route of artificial intelligence, and constantly strengthen user privacy protection in artificial intelligence applications.

Principle: Shanghai Initiative for the Safe Development of Artificial Intelligence, Aug 30, 2019

Published by Shanghai Advisory Committee of Experts on Artificial Intelligence Industry Security

Related Principles

Privacy protection and security

Throughout their lifecycle, AI systems should respect and uphold privacy rights and data protection, and ensure the security of data. This principle aims to ensure respect for privacy and data protection when using AI systems. This includes ensuring proper data governance, and management, for all data used and generated by the AI system throughout its lifecycle. For example, maintaining privacy through appropriate data anonymisation where used by AI systems. Further, the connection between data, and inferences drawn from that data by AI systems, should be sound and assessed in an ongoing manner. This principle also aims to ensure appropriate data and AI system security measures are in place. This includes the identification of potential security vulnerabilities, and assurance of resilience to adversarial attacks. Security measures should account for unintended applications of AI systems, and potential abuse risks, with appropriate mitigation measures.

Published by Department of Industry, Innovation and Science, Australian Government in AI Ethics Principles, Nov 7, 2019

(Preamble)

The 40th International Conference of Data Protection and Privacy Commissioners considers that any creation, development and use of artificial intelligence systems shall fully respect human rights, particularly the rights to the protection of personal data and to privacy, as well as human dignity, non discrimination and fundamental values, and shall provide solutions to allow individuals to maintain control and understanding of artificial intelligence systems. The Conference therefore endorses the following guiding principles, as its core values to preserve human rights in the development of artificial intelligence:

Published by 40th International Conference of Data Protection and Privacy Commissioners (ICDPPC) in Declaration On Ethics And Data Protection In Artifical Intelligence, Oct 23, 2018

6. Data Security and Privacy Protection

In the development and use of artificial intelligence solutions, users' personal privacy and data security need to be strictly protected.

Published by Megvii in Artificial Intelligence Application Criteria, Jul 8, 2019

1. Future oriented

The developement of AI requires coordination between innovation and safety, so as to protect innovation with security, and to drive security with innovation. While ensuring the safety of artificial intelligence itself, we will actively apply artificial intelligence technology to solve the security problems of human society.

Published by Shanghai Advisory Committee of Experts on Artificial Intelligence Industry Security in Shanghai Initiative for the Safe Development of Artificial Intelligence, Aug 30, 2019

· Right to Privacy, and Data Protection

32. Privacy, a right essential to the protection of human dignity, human autonomy and human agency, must be respected, protected and promoted throughout the life cycle of AI systems. It is important that data for AI systems be collected, used, shared, archived and deleted in ways that are consistent with international law and in line with the values and principles set forth in this Recommendation, while respecting relevant national, regional and international legal frameworks. 33. Adequate data protection frameworks and governance mechanisms should be established in a multi stakeholder approach at the national or international level, protected by judicial systems, and ensured throughout the life cycle of AI systems. Data protection frameworks and any related mechanisms should take reference from international data protection principles and standards concerning the collection, use and disclosure of personal data and exercise of their rights by data subjects while ensuring a legitimate aim and a valid legal basis for the processing of personal data, including informed consent. 34. Algorithmic systems require adequate privacy impact assessments, which also include societal and ethical considerations of their use and an innovative use of the privacy by design approach. AI actors need to ensure that they are accountable for the design and implementation of AI systems in such a way as to ensure that personal information is protected throughout the life cycle of the AI system.

Published by The United Nations Educational, Scientific and Cultural Organization (UNESCO) in The Recommendation on the Ethics of Artificial Intelligence, Nov 24, 2021