Preservation of Privacy and Security

We endeavour to respect the privacy and protect the security of all individuals served by the AI we develop.
Principle: Vodafone's AI Framework, Jun 11, 2019

Published by Vodafone Group

Related Principles

R Respect of privacy

The rise of AI has been described by some as the death of privacy, while others have compared it to an Orwellian Big Brother ready to scoop on everyone's private life. Certainly, machine learning technologies have brought about new ethical issues related to the respect of privacy. Recognising this, the European Commission reinforced the principle that everyone has the right to the protection of personal data by proposing a comprehensive reform of data protection rules (General Data Protection Regulation GDPR).

Published by Institute of Business Ethics (IBE) in IBE interactive framework of fundamental values and principles for the use of Artificial Intelligence (AI) in business, Jan 11, 2018

3. Respect for the privacy of others

Members of the JSAI will respect the privacy of others with regards to their research and development of AI. Members of the JSAI have the duty to treat personal information appropriately and in accordance with relevant laws and regulations.

Published by The Japanese Society for Artificial Intelligence (JSAI) in The Japanese Society for Artificial Intelligence Ethical Guidelines, Feb 28, 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

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.

Published by OP Financial Group in OP Financial Group’s ethical guidelines for artificial intelligence, 2018 (unconfirmed)

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