This course provides an in-depth exploration of ethical considerations in algorithmic systems, emphasizing the importance of making informed ethical choices in the development and deployment of AI, algorithmic, and autonomous (AAA) systems. Participants will gain the knowledge and skills necessary to navigate the complex ethical landscape of this modern technology. By the end of this course, participants will be equipped to ensure that their organization's AI and algorithmic systems are ethically sound, transparent, and accountable, fostering trust and integrity in their technological advancements

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learning objectives

We designed this course with the following learning objectives in mind:

  • Provide sufficient understanding and knowledge of Ethical Choices

  • Adjudicate identified Ethical Choice audit requirements in AI, Algorithmic and Autonomous (AAA Systems)

  • Navigate the AAA System lifecycle from the perspective of the Ethics Committee

  • Learn how to satisfy audit requirements accountable to the Ethics Committee, including the Ethical Risk Assessment

  • To be prepared to establish and operate an Ethics Committee consistent with the requirements of Independent Audit of AI Systems


  • Self-paced

  • 6 learning units

  • 2-3 learning hours

  • Customizable knowledge checks and final assessment

  • LMS and SCORM ready

topics of the course

  • Ethical Choices in Algorithm Design

  • Establishing and Maintaining Ethical Codes

  • Ethical Audit Requirements

  • Ethics Committee Lifecycle Navigation

  • Ethical Risk Assessment and Accountability

  • Establishing and Operating an Ethics Committee

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