AI Ethics
Assessor Training- Ethical Privacy Criteria

Next training: July 25th, 2022
Special Offer for CertifAIEd Alumni
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Learn how to address ethical privacy challenges in autonomous intelligent systems while improving your current business model: join a community of like-minded AI Ethics experts inmastering the IEEE CertifAIEd™ approach. 

Training objectives

This course has been developed for IEEE CertifAIEd Authorized Assessors who perform assessments or review cases for certification in AI Ethics.

Participants will learn to assess Autonomous and Intelligent Systems (AIS) for their conformity to ethical privacy, transparency, accountability, and algorithmic bias criteria required by the IEEE CertifAIEd Program.
This training is an integral first step to become recognized as an IEEE CertifAIEd Authorized Assessor.

Who is the training for?

There are no prerequisites for attending the training, however, participants with a background in ethics, artificial intelligence, standards, certification programs and conformity assessment will benefit most.

Participation is encouraged for those interested in advancing their knowledge in AI Ethics Certification, including: 
Compliance Officers, Governance Managers, Business Analyst, AI Engineer, Machine Learning Engineer, Data Analyst, Data Engineer, Data Scientist, Data Architect, Product Managers, Technology Consultants, Data Protection Managers, Quality Managers, Risk Managers, Software Developers, System Administrators, Purchasing Managers, Management Consultants, Information Security Managers, Process Auditors

Why CertifAIEd™ training?

This training is developed as a part of IEEE’s approach to Ethics in AIS. 
Participants will learn about the importance of a mark that distinguishes achieving ethical criteria for AIS products, services, and systems, how to assess the ethicality of an AIS, and how to get it recognized in the field with a mark of ethics that meet ethical criteria.
  • IEEE CertifAIEd offers a comprehensive suite of criteria to evaluate and assess AIS products, services, or systems against specific ethical requirements to foster trust and advance technology for the benefit of humanity.
  • It offers a framework to contextualise AI Ethics criteria for an application helping to deliver a more trustworthy experience for users.

Successful completion of the IEEE CertifAIEd  Authorized Assessor training is an essential aspect of becoming an IEEE CertifAIEd Authorized Ecosystem Collaborator.

Training outcomes

  • obtain a deep understanding for ethical priavcy and how to scrutinize products, services, and systems from an ethical perspective
  • learn about the importance of having a mark that distinguishes AIS products, services, and systems that meet ethical criteria for the ethical privacy
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Training content

Ethical Privacy
  • Introduction to the Ethical Privacy Criteria
  • Use Case Analysis for Ethical Privacy
  • Additional Use Case Analysis for “selected criteria”
  • Q&A session for any open issues
  • Learning Check for the Ethical Privacy

Training delivery

The sessions are designed as Virtual-Instructor-Led Training (VILT) and include online training, interactive learning, self-study assessments on real-life cases, and learning checks during and at the end of the course.

Instructor Led Training Sessions:
Daily 09:30 am – 04:00 pm EDT.

Note: this training is organized mainly for participants in the Eastern Time and Central European Time zones.
Further trainings will be offered for other regions. Please send us an email if you are interested in our training.
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Training instructors


Prof. Ali Hessami

Ali Hessami is currently the Director of R&D and Innovation at Vega Systems, London, UK. He has an extensive track record in systems assurance and safety, security, sustainability, knowledge assessment/management methodologies. 


Patricia Shaw

CEO and Founder of Beyond Reach Consulting Limited, UK
Trish advises and trains organisations internationally on Responsible AI (AI/data ethics, policy, governance), and Corporate Digital Responsibility.


Nell Watson

Eleanor ‘Nell’ Watson is a machine intelligence researcher. She has contributed to several IEEE SA ethics initiatives, including serving as Vice-Chair of P7001 standard on ethical transparency, and Chair of the P3152 Working Group on Human-AI Interaction Transparency. Nell holds fellowships with the British Computing Society, Royal Statistical Society, The Atlantic Council, as well as holding Senior Membership within IEEE.

What does our Alumni say about the training?

#unique | #comprehensive | #practical #whatweneednow

AIOps/MLOps Engineer, 
AI Entrepreneur
LAMIC Research Group
Manager Technologie & Innovation
OVE Österreichischer Verband für Elektrotechnik
Doruk Ozulu
Managing Director EFOSS Consulting, Trade and Industrial Corp.

Need further help?

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