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Course Details

Artificial Intelligence
IEEE Awareness Module on AI Ethics – (IEEE_SA_CertifAIEd)

Self Paced

Last Update:

June 26, 2023


About Course

AI ethics is central to the adoption of AI. Regulations are being developed across the world that will determine ethicality and market access. This course will explain to decision makers how ethicality is assessed in an AI solution, the differences between the risk-based approaches, and the advantages of outcomes based risk models. It will also introduce IEEE CertifAIEd AI ethics evaluation solution for AIS, how it works, and how to test an AI solution for ethicality with IEEE CertifAIEd.

What Will You Learn?

  • To get introduced to AI ethics and the need for it in the industry
  • To explore why risk-based frameworks are being used to assess AI ethics
  • To understand why outcomes and risks based frameworks help practical evaluation of AI solutions
  • To understand IEEE CertifAIEd outcomes & risks based framework
  • To understand how to get IEEE CertifAIEd applied to an AI solution
  • To get to realize the need for evaluation for AI ethics in an AI solution
  • To familiarize with the IEEE CertifAIEd outcomes & risk-based approach
  • To understand the evaluation and certification journey

Course Content

What you will learn

The AI dilemma

The need for trust

Evaluating trustworthiness



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Free access this course
  • Instructor
    Self Paced
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Material Includes

  • E-Learning Modules
  • Quizzes


  • No specific prerequisites
  • General understanding of products development and deployment
  • General understanding of certification and regulatory processes


  • Anyone with an interest in AI ethics
  • Decision makers in AI solutions development
  • Industry stakeholders with an interest in becoming part of the AI Ethics and IEEE CertifAIAEd ecosystems