IEEE 7000™-2021

Integrating ethical and functional requirements to mitigate risk and increase innovation in systems engineering design and development



An Unintended Risk in Engineering Design: Ignoring the Values of Your Users

Avoiding risk is a key concern for any organization but focusing solely on physical harms won’t provide a full picture of an end user’s experience of what you build. Artificial Intelligence Systems (AIS) driving many products and services today are driven by algorithms invisible to users that still deeply affect their data, identity, and values. Despite the best intentions of a manufacturer, without having a methodology to analyze and test how an end user interprets a product, service or system, a design process will prioritize the values of its creators. Responsible Innovation in the algorithmic era requires a values-oriented methodology that complements traditional systems engineering. This is what IEEE 7000-2021 provides.

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A Vision for Values
Value-based Engineering (VbE) is at the heart of IEEE 7000-2021 and provides companies with a highly practical approach to master the value-based challenges of their digital transformation. The VbE methodology provides a broader lens to consider potential value harms associated with product or systems design. VbE can lead to fewer project risks while increasing exponential innovation to provide a massive improvement relative to current technical roadmap processes.

IEEE 7000-2021 standard provides:
  • a system engineering standard approach integrating human and social values into traditional systems engineering and design.
  • processes for engineers to translate stakeholder values and ethical considerations into system requirements and design practices.
  • a systematic, transparent, and traceable approach to address ethically- oriented regulatory obligations in the design of autonomous intelligent systems.
IEEE 7000-2021 standard is intended for use by:
  • large, medium, and small businesses dedicated to including broader ethical value criteria and concerns while designing, developing or operating AI or other technical systems. This includes systems, software or automation engineers, and CIOs, as well as platform, service, app, or product marketing professionals.
  • innovating organizations engaged in concept exploration, system requirements definition, or development of new or revised products or services. The standard can help organizations to build products with a more refined and nuanced value proposition and with less risk.

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