IEEE SA is proud to announce IEEE CertifAIEd; a mark designed to inspire trust and responsible innovation in AI systems. IEEE CertifAIEd offers a risk-based framework with a suite of AI ethical criteria that can be contextualized to fit organizations’ needs– helping them deliver a greater trustworthy experience for their users.

The IEEE CertifAIEd mark recognizes that your product, service, or system has been verified to meet relevant ethical criteria, contributing towards a greater level of confidence and demonstrating a proactive approach to building public trust in your AI system. It sets the standard that AI products, services and systems should meet in order to deliver authentic and practical value and trust.

The IEEE CertifAIEd Mark

  • Affirms an organization’s commitment to upholding human values, dignity, and well-being, and to respecting, protecting and preserving fundamental human rights.
  • Conveys an organization’s capability to fulfill applicable transparency, accountability, reduction of algorithmic bias and privacy requirements stipulated in the appropriate criteria to foster trust and facilitate the adoption and use of AI products and services.
  • Enhances confidence in public and private enterprises that wish to realize the benefits of AI ethics certification in the absence of or as a complement to broadly accepted and enforced regulations for AI, while mitigating risks, liabilities and adverse impacts on their reputation and market share. 

Whatever your organization’s role in the development and delivery of AI products, services, or systems– as a developer, system integrator, vendor, operator or maintainer– you stand to gain from the responsible innovation-driven, human-centric, independent IEEE CertifAIEd training, evaluation, assessment, certification, and mark.





The Basis of AI Ethics Certification

IEEE CertifAIEd criteria consist of a suite of detailed specifications for the evaluation, assessment and certification of ethical properties of AI products, services, and systems. The criteria were developed in an open manner through the Industry Connections Ethics Certification Program for Autonomous and Intelligent Systems (ECPAIS).



The following facets of ethical responsibility are applied:




   

Transparency

Accountability

Algorithmic Bias

Privacy

  
  
  
Transparency criteria relate to values
embedded in a system design, and the
openness and disclosure of choices made
for development and operation.




Accountability criteria recognize
that the system/service autonomy
and learning capacities are the results
of algorithms and computational
processes designed by humans and
organizations that remain responsible
for their outcomes.

Algorithmic bias criteria relate to the
prevention of systematic errors and
repeatable undesirable behaviors that
create unfair outcomes.




Privacy criteria are aimed at
respecting the private sphere of
life and public identity of an
individual, group, or community,
upholding dignity.



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