4. Protect children's data and privacy

Follow a responsible data approach for the handling of data for and about children. Promote children's data agency. Adopt a privacy by design approach. Consider protections at the group level.
Principle: Requirements for child-centred AI, Sep 16, 2020

Published by United Nations Children's Fund (UNICEF) and the Ministry of

Related Principles

2. Privacy Principles Privacy by Design

o We have implemented an enterprise wide Privacy by Design approach that incorporates privacy and data security into our ML and associated data processing systems. Our ML models seek to minimize access to identifiable information to ensure we are using only the personal data we need to generate insights. ADP is committed to providing individuals with a reasonable opportunity to examine their own personal data and to update it if it is incorrect.

Published by ADP in ADP: Ethics in Artificial Intelligence, 2018 (unconfirmed)

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

• Rethink Privacy

Privacy approaches like The Fair Information Practice Principles and Privacy by Design have withstood the test of time and the evolution of new technology. But with innovation, we have had to “rethink” how we apply these models to new technology. [Recommendations] • Adopt Robust Privacy Laws: Based on the OECD Fair Information Practice Principles. • Implement Privacy by Design: Follow Intel’s Rethinking Privacy approach to implement Privacy by Design into AI product and project development. • Keep data secure: Policies should help enable cutting edge AI technology with robust cyber and physical security to mitigate risks of attacks and promote trust from society. • It takes data for AI to protect data: Governments should adopt policies to reduce barriers to the sharing of data for cybersecurity purposes.

Published by Intel in AI public policy principles, Oct 18, 2017

6. Principle of privacy

Developers should take it into consideration that AI systems will not infringe the privacy of users or third parties. [Comment] The privacy referred to in this principle includes spatial privacy (peace of personal life), information privacy (personal data), and secrecy of communications. Developers should consider international guidelines on privacy, such as “OECD Guidelines on the Protection of Privacy and Transborder Flows of Personal Data,” as well as the followings, with consideration of the possibility that AI systems might change their outputs or programs as a result of learning and other methods: ● To make efforts to evaluate the risks of privacy infringement and conduct privacy impact assessment in advance. ● To make efforts to take necessary measures, to the extent possible in light of the characteristics of the technologies to be adopted throughout the process of development of the AI systems (“privacy by design”), to avoid infringement of privacy at the time of the utilization.

Published by Ministry of Internal Affairs and Communications (MIC), the Government of Japan in AI R&D Principles, Jul 28, 2017

4. Privacy and security by design

AI systems are fuelled by data, and Telefónica is committed to respecting people’s right to privacy and their personal data. The data used in AI systems can be personal or anonymous aggregated. When processing personal data, according to Telefónica’s privacy policy, we will at all times comply with the principles of lawfulness, fairness and transparency, data minimisation, accuracy, storage limitation, integrity and confidentiality. When using anonymized and or aggregated data, we will use the principles set out in this document. In order to ensure compliance with our Privacy Policy we use a Privacy by Design methodology. When building AI systems, as with other systems, we follow Telefónica’s Security by Design approach. We apply, according to Telefónica’s privacy policy, in all of the processing cycle phases, the technical and organizational measures required to guarantee a level of security adequate to the risk to which the personal information may be exposed and, in any case, in accordance with the security measures established in the law in force in each of the countries and or regions in which we operate.

Published by Telefónica in AI Principles of Telefónica, Oct 30, 2018