AI Standards: System Design Considerations for Data Privacy

  • Online

This course focuses on design considerations and how the use of data and the data lifecycle play a fundamental role in privacy design. The goals of the course include exploring how software engineers ensure that privacy engineering requirements are satisfied within the contexts of use, end-user, third-parties, and potential re-purposing of the application or service developed. The course provides practical tips and guides as techniques the software engineer or developer can use to become versant in privacy design. A software engineer or developer can also implement these concepts into their organization’s workflows. Topics include review of fundamental data and design considerations related to software engineering as it relates elements of a privacy assessment to software engineering and development; review data lifecycle as it relates to software engineering and privacy assessment; identifying practical techniques to map requirements to privacy controls and evaluation of privacy controls with use cases and user stories, ensuring functional and non-functional requirements are satisfied equally.

What you will learn:

  • Review fundamental data and design considerations related to software engineering as it relates elements of a privacy assessment to software engineering and development
  • Examine data lifecycle as it relates to software engineering and privacy assessment
  • Identify practical techniques to map requirements to privacy controls and evaluation of privacy controls with use cases and user stories, ensuring functional and nonfunctional requirements are satisfied equally

This course is part of the following Course Program:

AI Standards: Roadmap for Ethical and Responsible Digital Environments

Courses included in this program:

Who Should Attend: Organization-based stakeholders, senior leadership, designers, engineers, producers, suppliers and marketers who design products, services, and systems that support end user privacy and personal data. Technical staff or educators who implement educational technologies.

Instructor

Matthew Silveira Photo

Matthew Silveira

Matt Silveira is the chair of the IEEE P7002 workgroup and serves on P7004 and P7005 as a workgroup member. He has served as adjunct faculty at the University of California Extension in Davis at the California State University of Extension in Sacramento and at the Los Rios Community College District teaching courses in information security, data privacy and system architecture. Currently, he is the president of Objective Business Solutions, a consulting firm that specializes in information security and privacy by design emphasizing healthcare, first responder communication systems and voting systems.

Publication Year: 2020

ISBN: 978-1-7281-7754-0


AI Standards: System Design Considerations for Data Privacy
  • Course Provider: Educational Activities
  • Course Number: EDP598
  • Duration (Hours): 1
  • Credits: 0.1 CEU/ 1 PDH