Artificial Intelligence Systems (AIS)

Raising the Standards in Artificial Intelligence Systems (AIS)

At the IEEE SA our global community is developing accessible and sustainable approaches and solutions for practical application of AIS principles and frameworks.


Ethics in Action

Featuring the latest news about Ethically Aligned Design and thought leadership from global leaders in AIS policy and technology.

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Children's Tech Design Governance

Developing standards and establishing frameworks and processes for age appropriate digital services and protecting children’s data.

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IEEE CertifAIEd™: The Mark of AI Ethics

A program focused on helping organizations deliver more trustworthy AIS experiences for their users.

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See Our Communities

Global Initiative

A community of over 3000 people from around the world working to ensure that all stakeholders designing, developing and using AIS are educated, trained and empowered to prioritize ethical considerations.

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AI Systems Governance for Cities

The goal of this Community is to provide cities a mechanism to support responsible Artificial Intelligence Systems (AIS) innovation through proper governance mechanisms.

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AIS Well-being Initiative

This community will work to provably align the increase of human well-being and ecological sustainability through AIS design and creation.

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Developing a growing series of technical and impact standards that promote innovation, foster interoperability and honor human values.

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Developing metrics and processes towards the implementation of a certification methodology addressing transparency, accountability and algorithmic bias.

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Empowering professionals to practically address and implement ethical considerations when developing autonomous and intelligent products and services.

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Featured Standard

IEEE Launches New Standard to Address Ethical Concerns During Systems Design

IEEE 7000™-2021 integrates ethical and functional requirements to mitigate risk and increase innovation in systems engineering product design and utilizes “Value-based Engineering” as its core methodology providing ways to elicit, conceptualize, prioritize and respect end user values in system design.


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