“As someone involved in the study and deployment of systems using machine intelligence in society, Ethically Aligned Design, First Edition, provides an essential contribution to the discussion and practice of designing systems that more coherently integrate with society and in ethical ways. This work aligns with my work at the MIT Media Lab and the Harvard Law School, and I look forward to continuing our collaboration.”

Joichi Ito, MIT Media Lab

From Principles to Practice

It is time to move “From Principles to Practice” in society regarding the governance of emerging autonomous and intelligent systems. The implementation of ethical principles must be validated by dependable applications of A/IS in practice, and here are three ways you can start that process in your life and work:

Ethically Aligned Design, First Edition

The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems (The IEEE Global Initiative) has launched Ethically Aligned Design: A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems, First Edition (EAD1e), the most comprehensive, crowd-sourced global treatise regarding the Ethics of Autonomous and Intelligent Systems available today.

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Ethically Aligned Design,
First Edition

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IEEE P7000™ Standards Working Group

Download Ethically Aligned Design, First Edition

We released Ethically Aligned Design, Version 1 (EADv1) as a Request for Input in December of 2016 and received over two hundred pages of in-depth feedback about the draft. We subsequently released Ethically Aligned Design, Version 2 (EADv2) in December 2017 and received over three hundred pages of in-depth feedback about the draft. Since that time, over one thousand people from the realms of business, academia and policy helped write, edit, and review Ethically Aligned Design, First Edition.

Now we need more leaders like you to help us move “From Principles to Practice” to prioritize values-driven, ethically aligned design for autonomous and intelligent systems now and in the future.

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Testimonials

“As someone involved in the study and deployment of systems using machine intelligence in society, Ethically Aligned Design, First Edition, provides an essential contribution to the discussion and practice of designing systems that more coherently integrate with society and in ethical ways. This work aligns with my work at the MIT Media Lab and the Harvard Law School, and I look forward to continuing our collaboration.”

Joichi Ito, MIT Media Lab

“As an AI designer and AI ethics advocate at IBM, I’ll be using EAD1e in scaling best practices for thousands of designers and developers. The guidance materials coming out of this will help our teams re-evaluate their current design and development processes. It’s vital to bring in different perspectives whenever we make decisions on what is or isn’t ethical– IEEE’s focus on interdisciplinary collaboration makes this work accessible to anyone working with AI.”

Milena Pribic, AI Design Practices, IBM

“The IEEE is taking a big step forward in marshaling the vast almost half a million strong community in 160 countries of technical professionals to address the topics covered in EAD1e giving groundbreaking and critically needed guidance to its members, AND the corporations and organizations that employ them. In doing so society as a whole benefits – the issues we face on the digital frontier are complex and this publication will trigger much needed public dialogue so all of humanity can begin to face our challenges together.”

Mei Lin Fung, People Centered Internet

“The debate over artificial intelligence systems is at a fever pitch, from corporate board rooms and government offices to research laboratories and manufacturing facilities. What has been missing, until now, is a clear, practical road map to guide the development of AI’s benefits and address its potential risks. Ethically Aligned Design fills that vital gap. It provides businesses, policy makers and everyday people with the essential tools to understand the stakes and support global standards to maximize the benefits and mitigate the risks. Most of all, the IEEE and its diverse pool of experts have produced a call to action that will enable all of us to do a better job of planning for a future that is just beyond the horizon.”

Doug Frantz, Organization for Economic Cooperation and Development (OECD)

“As a member of the IEEE Ethically Aligned Design [First Edition] Executive Committee, I can attest that this publication is rich in policy, recommendations, and a pointer to the approved IEEE 7000 series standards. It is this intersectionality between technology, social science, law and policy that provides for stimulating reading and a call to action. There are no geographical barriers only opportunities to expand this work further. Congratulations to IEEE and its collaborators for an outstanding First Edition!”

Monique Morrow, VETRI Foundation and The Humanized Internet

Join the IEEE Global Initiative

The IEEE Global Initiative’s mission is, “To ensure every stakeholder involved in the design and development of autonomous and intelligent systems is educated, trained, and empowered to prioritize ethical considerations so that these technologies are advanced for the benefit of humanity.”

If you are not already involved in The Global Initiative on Autonomous and Intelligent Systems, we invite you to join the open community of over 2,000 global experts focused on cutting edge ethical and values-driven issues in autonomous and intelligent systems and in moving principles to practical application?  Join to receive our regular newsletter, announcements, and to get an invitation into our private EAD community.

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Contact the professionals at A/IS & Ethics

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.

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Explore our approved IEEE P7000™ Standards Projects.

IEEE P7000™

IEEE Standards Project for 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™

IEEE Standards Project for 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™

IEEE Standards Project for 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™

IEEE Standards Project for 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™

IEEE Standards Project for 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™

IEEE Standards Project for 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™

IEEE Standards Project for 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™

IEEE Standards Project for 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™

IEEE Standards Project for 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™

IEEE Standards Project for 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™

IEEE Standards Project for 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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IEEE P7011™

IEEE Standards Project for the Process of Identifying and Rating the Trustworthiness of News Sources. The purpose of the standard is to address the negative impacts of the unchecked proliferation of fake news by providing an open system of easy-to-understand ratings. In so doing, it shall assist in the restoration of trust in some purveyors, appropriately discredit other purveyors, provide a disincentive for the publication of fake news, and promote a path of improvement for purveyors wishing to do so. The standard shall target a representative sample set of news stories in order to provide a meaningful and accurate rating scorecard.

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IEEE P7012™

IEEE Standards Project for Machine Readable Personal Privacy Terms. The purpose of the standard is to provide individuals with means to proffer their own terms respecting personal privacy, in ways that can be read, acknowledged, and agreed to by machines operated by others in the networked world. In a more formal sense, the purpose of the standard is to enable individuals to operate as first parties in agreements with others—mostly companies—operating as second parties. Note that the purpose of this standard is not to address privacy policies, since these are one-sided and need no agreement. (Terms require agreement; privacy policies do not.)

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IEEE P7013™

IEEE Standards Project for Inclusion and Application Standards for Automated Facial Analysis Technology. Research continues to show that artificial intelligence used for automated facial analysis is susceptible to bias that can exacerbate human prejudice and systematically disadvantage individuals based on gender, ethnicity, age, and other factors. The purpose of the standard is to provide inclusion guidelines for developing and benchmarking automated facial analysis technology to mitigate demographic and phenotypic bias and discrimination. The reporting rubrics/protocols established in this standard serve to increase transparency of this automated technology so that developers and decision makers can compare available options to choose the most appropriate technology based on target populations and intended use cases. Given the sensitivity of the biometric data provided from a human face, the standard also delineates appropriate and inappropriate uses of automated facial analysis based on accuracy and values established by a global community.

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IEEE P7014

IEEE P7014™

IEEE Standards Project for the Standard for Ethical considerations in Emulated Empathy in Autonomous and Intelligent Systems. This standard defines a model for ethical considerations and practices in the design, creation and use of empathic technology, incorporating systems that have the capacity to identify, quantify, respond to, or simulate affective states, such as emotions and cognitive states. This includes coverage of ‘affective computing’, ’emotion Artificial Intelligence’ and related fields.

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EAD1e Overview Document

Ethically Aligned Design, First Edition, is the culmination of a three-year, globally open and iterative process involving thousands of global experts. Download the EAD1e Overview Document.

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News & Events

Find out the latest news and events that have to do with The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems.

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Videos & Webinars

Find out the latest videos & webinars that have to do with The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems.

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Defining A/IS Ethics – Glossary

As part of the launch of EAD1e, we’ve also updated our Glossary that provides common terms for Autonomous and Intelligent Systems (A/IS), as defined by professionals working in fields of Ethics, Engineering and Policy.

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