Ethics in Action 2018-03-08T21:03:33+00:00
Download Ethically Aligned Design, Version 2

The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems) is launching the second version of Ethically Aligned Design: A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems, (EADv2) the most comprehensive, crowd-sourced global treatise regarding the Ethics of Autonomous and Intelligent Systems available today.

Download Ethically Aligned Design, Version 2Download Ethically Aligned Design, v2

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250 global thought experts created this document. Now we need more leaders like you to help us take action to prioritize values-driven, ethically aligned design for autonomous and intelligent systems.

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Ethically Aligned Design (EAD) is comprised of more than one hundred pragmatic recommendations for technologists, policy makers and academics to utilize right away.

Created by more than 250 global cross-disciplinary thought leaders, EADv2’s goal is to advance a public discussion, Standards and Policy about how we can establish ethical and social implementations for intelligent and autonomous systems and technologies, aligning them to moral values and ethical principles that prioritize human well-being.

Hear From Our Leaders

Raja Chatila
Chair | The IEEE Global Initiative

Kay Firth-Butterfield
Vice-Chair | The IEEE Global Initiative

Ethically Aligned Design Has Gone Global

Members of The IEEE Global Initiative have translated the Ethically Aligned Design Executive Summary into multiple languages including Arabic, Chinese, Japanese, Korean, Persian, Portuguese, Russian and Thai. Learn more about Translations and Reports.

We’re inviting comments for Version 2 of Ethically Aligned Design to provide the opportunity to bring together multiple voices from the scientific and engineering communities with the general public.

Our goal is to identify and find broad consensus on pressing ethical and social issues and candidate recommendations regarding development and implementations of these technologies.

Input about Ethically Aligned Design, Version 2 should be sent by email no later than 7 May 2018 and will be made publicly available at the website of The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems no later than 4 June 2018. Details on how to submit public comments are available via our Submission Guidelines.

Join any of the IEEE P7000™ Standards Working Groups already in motion. Your insights can literally set the standards for the future of ethical intelligent and autonomous technologies.

Explore our approved IEEE P7000 Standards Projects.

IEEE P7000™

Model Process for Addressing Ethical Concerns During System Design outlines an approach for identifying and analyzing potential ethical issues in a system or software program from the onset of the effort. The values-based system design methods addresses ethical considerations at each stage of development to help avoid negative unintended consequences while increasing innovation.

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IEEE P7001™

Transparency of Autonomous Systems provides a Standard for developing autonomous technologies that can assess their own actions and help users understand why a technology makes certain decisions in different situations. The project also offers ways to provide transparency and accountability for a system to help guide and improve it, such as incorporating an event data recorder in a self-driving car or accessing data from a device’s sensors.

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IEEE P7002™

Data Privacy Process specifies how to manage privacy issues for systems or software that collect personal data. It will do so by defining requirements that cover corporate data collection policies and quality assurance. It also includes a use case and data model for organizations developing applications involving personal information. The standard will help designers by providing ways to identify and measure privacy controls in their systems utilizing privacy impact assessments.

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IEEE P7003™

Algorithmic Bias Considerations provides developers of algorithms for autonomous or intelligent systems with protocols to avoid negative bias in their code. Bias could include the use of subjective or incorrect interpretations of data like mistaking correlation with causation. The project offers specific steps to take for eliminating issues of negative bias in the creation of algorithms.

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IEEE P7004™

Standard on Child and Student Data Governance provides processes and certifications for transparency and accountability for educational institutions that handle data meant to ensure the safety of students. The standard defines how to access, collect, share, and remove data related to children and students in any educational or institutional setting where their information will be access, stored, or shared.

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IEEE P7005™

Standard on Employer Data Governance provides guidelines and certifications on storing, protecting, and using employee data in an ethical and transparent way. The project recommends tools and services that help employees make informed decisions with their personal information. The standard will help provide clarity and recommendations both for how employees can share their information in a safe and trusted environment as well as how employers can align with employees in this process while still utilizing information needed for regular work flows.

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IEEE P7006™

Standard on Personal Data AI Agent Working Group addresses concerns raised about machines making decisions without human input. This standard hopes to educate government and industry on why it is best to put mechanisms into place to enable the design of systems that will mitigate the ethical concerns when AI systems can organize and share personal information on their own. Designed as a tool to allow any individual to essentially create their own personal “terms and conditions” for their data, the AI Agent will provide a technological tool for individuals to manage and control their identity in the digital and virtual world.

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IEEE P7007™

Ontological Standard for Ethically driven Robotics and Automation Systems establishes a set of ontologies with different abstraction levels that contain concepts, definitions and axioms that are necessary to establish ethically driven methodologies for the design of Robots and Automation Systems.

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IEEE P7008™

Standard for Ethically Driven Nudging for Robotic, Intelligent and Autonomous Systems establishes a delineation of typical nudges (currently in use or that could be created) that contains concepts, functions and benefits necessary to establish and ensure ethically driven methodologies for the design of the robotic, intelligent and autonomous systems that incorporate them. “Nudges” as exhibited by robotic, intelligent or autonomous systems are defined as overt or hidden suggestions or manipulations designed to influence the behavior or emotions of a user.

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IEEE P7009™

Standard for Fail-Safe Design of Autonomous and Semi-Autonomous Systems establishes a practical, technical baseline of specific methodologies and tools for the development, implementation, and use of effective fail-safe mechanisms in autonomous and semi-autonomous systems. The standard includes (but is not limited to): clear procedures for measuring, testing, and certifying a system’s ability to fail safely on a scale from weak to strong, and instructions for improvement in the case of unsatisfactory performance. The standard serves as the basis for developers, as well as users and regulators, to design fail-safe mechanisms in a robust, transparent, and accountable manner.

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IEEE P7010™

Wellbeing Metrics Standard for Ethical Artificial Intelligence and Autonomous Systems will establish wellbeing metrics relating to human factors directly affected by intelligent and autonomous systems and establish a baseline for the types of objective and subjective data these systems should analyze and include (in their programming and functioning) to proactively increase human wellbeing.

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For Further Information and to Join

For further information and to join:
Contact aistnds@ieee.org

Please note: By signing up, you consent to being contacted / receiving information about our Standards Groups. 

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