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

5. Privacy protection

We will guarantee privacy and personal data protection for the individuals represented in the data we use in accordance with our data protection principles.

Principle: OP Financial Group’s ethical guidelines for artificial intelligence, 2018 (unconfirmed)

Published by OP Financial Group

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

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

6. We place data protection and privacy at our core

Data protection and privacy are a corporate requirement and at the core of every product and service. We communicate clearly how, why, where, and when customer and anonymized user data is used in our AI software. This commitment to data protection and privacy is reflected in our commitment to all applicable regulatory requirements as well as through the research we conduct in partnership with leading academic institutions to develop the next generation of privacy enhancing methodologies and technologies.

Published by SAP in SAP's Guiding Principles for Artificial Intelligence, Sep 18, 2018

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

· 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