IEEE P7002 TM defines requirements for a systems/software engineering process for privacy-oriented considerations regarding products, services, and systems utilizing personal data

PISCATAWAY, N.J.–IEEE, the world’s largest technical professional organization dedicated to advancing technology for humanity, and the IEEE Standards Association (IEEE-SA), today announced the approval of IEEE P7002™, a new standards development project whose purpose is to provide one overall methodological approach that specifies practices to manage privacy issues within the systems/software engineering life cycle processes. Titled “Data Privacy Process,” IEEE P7002 aims to define specific procedures, as well as provide diagrams and checklists, so that users of the standard can perform thorough and accurate conformity assessments of their specific privacy practices.

“With the continuing surge of big data growth, there is also a growing concern around how personal information is collected, managed and shared,” said Konstantinos Karachalios, managing director for IEEE-SA. “With privacy and accessibility of individual information being an issue that’s relevant to a wide range of IEEE initiatives and committees, IEEE P7002 will help establish a framework for leveraging technologies to bring new products, services and applications to market that generate trust by ensuring end-users’ protected personal information is prioritized by design.”

“Individuals and associations are under increasing pressure to manage and protect large volumes of data,” says Angela Burgess, executive director, IEEE Computer Society (IEEE CS). “With the approval of the standards development project IEEE P7002, sponsored by IEEE CS, the new framework of requirements will help ensure trust and stronger data protection of end-users when personal data is transferred among industries and environments.”

The initiation of IEEE P7002 follows in line with the recent release of the IEEE publication Ethically Aligned Design: A Vision for Prioritizing Human Wellbeing with Artificial Intelligence and Autonomous Systemsa document that encourages technologists to prioritize ethical considerations in the creation of autonomous and intelligent technologies. Both the document and IEEE P7002 are inspired by the work being done in The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems.

“Data governance is well understood within the data privacy community, but enterprises that provide products and services, and collect, control and own personal data, may be less informed on privacy and security issues,” said Michelle Dennedy, chair, IEEE P7002. “Modern organizations that want to engender trust and sustain loyalty with their stakeholders must fully embrace effective privacy practices, and IEEE P7002 represents a solid step towards achieving a methodological approach that specifies practices to manage privacy issues within systems and software engineering life cycle processes.”

To learn more about the project, or to join the Working Group please visit the IEEE P7002 landing page.

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