Autonomous and Intelligent Systems (AIS)

At IEEE SA, our global community has developed resources and standards globally recognized in the area of applied ethics and systems engineering. IEEE SA offers standards, training and education, certification programs, and more, to empower stakeholders designing, developing, and using AIS.

New technology comes with unknown obstacles and unintended risks requiring accountable design and lifecycle planning to ensure responsible innovation. As artificial intelligence, autonomous intelligent systems (AIS), machine learning, autonomous vehicles, and robotics advance at a rapid pace, careful considerations need to be made during development and implementation regarding humanity. At IEEE SA, our global community has developed resources and standards globally recognized in the area of applied ethics and systems engineering and continue to develop accessible and sustainable approaches and solutions for pragmatic application of AIS principles and frameworks. IEEE SA offers standards, training and education, certification programs, and more, to empower stakeholders designing, developing, and using AIS. Global participation is encouraged to offer the broadest regional and cultural perspectives required to best contextualize how AIS systems can avoid risk and offer greatest benefit in operation.


Hand holding globe

IEEE CertifAIEd™: The Mark of AI Ethics

For assessing ethics of AIS to help protect, differentiate, and grow product adoption.

Learn More About IEEE CertifAIEd™

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Ethically Aligned Design for Business

Prioritizing People and Planet as the Metrics for Responsible AI.

Read Ethically Aligned Design for Business

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A Primer for Education Thought Leadership

The Benefits of a Multidisciplinary Lens for Artificial Intelligence Systems Ethics.

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Programs and Services

Artificial Intelligence Systems

AIS Certification

IEEE CertifAIEd™ is a certification program for assessing ethics of AIS to help protect, differentiate, and grow product adoption. The resulting certificate and mark demonstrates the organization’s effort to deliver a solution with a more trustworthy AIS experience to their users.

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Artificial Intelligence and Ethics in Design Course Program

This educational program offers 10 courses focused on ethics in design of artificial intelligence systems.

Binary Scales

New Program for Free Access to AI Ethics and Governance Standards

Program brings sociotechnical standards providing guidance and considerations to aid the development of trustworthy AI to the global community at no cost.

Get Involved

Learn more about how to engage with AIS related Communities and Industry Connections Programs.

The Global Initiative on Ethics of Autonomous and Intelligent Systems

This community’s mission is to ensure every stakeholder involved in the development of AIS is educated and trained to prioritize ethical considerations so that these technologies are advanced for the benefit of humanity.

Pre-Standardization Activities On Industrial AI

Industrial AIS differs from consumer AIS applications. Participants from corporations, academia, industry, and government agencies collaborate to identify potential gaps that need to be bridged by new standards.

AI Systems Governance for Cities

The goal of the AI-Driven Innovation for Cities and People Team is to provide cities a mechanism to support responsible AIS innovation through proper governance mechanisms.

The Open Community for Ethics in Autonomous and Intelligent Systems (OCEANIS)

Sociotechnical standards can elevate and further the development of AIS solutions. This forum offers collaboration between relevant organizations to foster locally and globally applicable solutions.

Children's Tech Design Governance

A group of key industry, government, and policy stakeholders focus on developing standards and establishing frameworks and processes for age appropriate digital services and protecting children’s data.


IEEE CertifAIEd Training

This course has been developed for individuals who are interested in learning how to assess AIS for their conformity to IEEE CertifAIEd AI Ethics criteria. Completion of this course is an integral step towards becoming recognized as an IEEE CertifAIEd Authorized Assessor.

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Related Standards

IEEE P2247.1™

Standard for the Classification of Adaptive Instructional Systems

IEEE P2247.2™

Interoperability Standards for Adaptive Instructional Systems (AISs)

IEEE P2247.3™

Recommended Practices for Evaluation of Adaptive Instructional Systems

IEEE P2247.4™

Recommended Practice for Ethically Aligned Design of Artificial Intelligence (AI) in Adaptive Instructional Systems

IEEE 2089-2021

IEEE Standard for an Age Appropriate Digital Services Framework Based on the 5Rights Principles for Children

IEEE 7000™

IEEE Standard Model Process for Addressing Ethical Concerns during System Design

IEEE 7001™

IEEE Standard for Transparency of Autonomous Systems

IEEE P7002™

IEEE Standard for Data Privacy Process

IEEE P7003™

Algorithmic Bias Considerations

IEEE P7004™

Standard for Child and Student Data Governance

IEEE P7004.1™

Recommended Practices for Virtual Classroom Security, Privacy and Data Governance

IEEE 7005™

IEEE Standard for Transparent Employer Data Governance

IEEE 7007™

IEEE Ontological Standard for Ethically Driven Robotics and Automation Systems

IEEE P7008™

Standard for Ethically Driven Nudging for Robotic, Intelligent and Autonomous Systems

IEEE P7009™

Standard for Fail-Safe Design of Autonomous and Semi-Autonomous Systems

IEEE P3109™

Standard for Arithmetic Formats for Machine Learning

IEEE 3652.1™-2020

IEEE Guide for Architectural Framework and Application of Federated Machine Learning

IEEE P3127™

Guide for an Architectural Framework for Blockchain-based Federated Machine Learning

IEEE P3187™

Guide for Framework for Trustworthy Federated Machine Learning

IEEE P2986™

Recommended Practice for Privacy and Security for Federated Machine Learning

IEEE P2805.3™

Cloud-Edge Collaboration Protocols for Machine Learning

IEEE 2830™-2021

IEEE Standard for Technical Framework and Requirements of Trusted Execution Environment based Shared Machine Learning

IEEE P3123™

Standard for Artificial Intelligence and Machine Learning (AI/ML) Terminology and Data Formats

IEEE P1900.8™

Standard for Training, Testing, and Evaluating Machine-Learned Spectrum Awareness Models

IEEE P3157™

Recommended Practice for Vulnerability Test for Machine Learning Models for Computer Vision Applications


Report: Decoupling Human Characteristics from Algorithmic Capabilities

This report opens a conversation about decoupling anthropomorphic language from discussions around artificial intelligence in efforts to give agency to the public and decision makers. This is explored through the lens of the following human characteristics which are commonly attributed to AI Systems: Learn, Analyze, Knowledge, Foresight, and Decision-Making.

Report: Addressing Ethical Dilemmas in AI: Listening to Engineers

This report is based on the proceedings of the online hackathon “Ethical dilemmas in AI – engineering the way out”, conducted in September 2020. The goal of the hackathon was to identify the main challenges for integrating existing ethical principles and guidelines into the engineering processes that power AI development.

Measuring What Matters in the Era of Global Warming and the Age of Algorithmic Promises

At a physical level, human well being is critically dependent on environmental sustainability. Our symbiotic relationship with nature, however, has been severely damaged due to actions that have resulted in a climate crisis. A combination of a courageous socioeconomic transformation and accelerated technological innovation is necessary to mitigate this threat.

Measurementality Series

Measurementality, is a series of podcasts, webinars, and reports created by IEEE SA in collaboration with The Radical AI Podcast and explores what measurements of success we’re optimizing for AIS development.

IEEE Course Program on AI Standards

The purpose of this course series is to provide instructions for a comprehensive approach to creating ethical and responsible digital ecosystems.

Webinar: Is it Technically Possible to Make the World Age Appropriate

Today, one in three people online is under 18. There is an urgent need to address the vulnerabilities and evolving capacities associated with children and their online experiences.

IEEE Course Program on Artificial Intelligence and Ethics in Design

Responsible artificial intelligence, law, compliance, and ethics in artificial intelligence and practical applied ethics for use in the responsible design of artificial intelligence systems.

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