Following the successful 1-day taster crash-course training titled AI Ethics Assessment Overview: ΙΕΕΕ CertifAIEd™ Foundation on 20 and 21 March 2025, that led to the 3.5 day certification training and brought together professionals from SMEs, industry professionals, government officials, academics, legal experts, and startups, the Institute of Informatics & Telecommunications (IIT) at NCSR Demokritos, in collaboration with IEEE SA offer a second round — with fresh insights and expanded relevance.
📍 On-site participation available for those living/working in Athens
💻 Online access for remote participants from anywhere in the world
The training session has a limited number of participants to ensure a high-quality experience.
The 1-day taster condensed training on July 10th offers participants a unique opportunity to enter this ecosystem — building their expertise in AI ethics, regulatory readiness, and international standards. Participants will mainly engage with real-world AI use cases through hands-on workshops, applied assessment techniques, and critical discussions — laying the groundwork for a growing peer network of assessors and AI governance practitioners.
This session will also explore the upcoming harmonised European standards (hENs) under the EU AI Act and their interplay with established frameworks such as the:
Participants will gain practical insight into how these standards can be combined strategically to support value-based design, legal compliance, and trusted deployment across markets.
Please note: Your registration will only be considered as completed upon full payment of the fees.
Early Bird fees available for registration paid up until 19th June 2025, 23:59 Athens time.
Group discounts available for corporate registrations (2+ participants).
Registration | Deadline (Athens Time) | Fee | Discount |
For students till the age of 26 | No deadline | €250 + VAT 24% | -50% |
Early Bird | Until 19 June 2025, 23:59 | €400 + VAT 24% | |
Normal Fee | After 19 June 2025 | €550 + VAT 24% | –- |
Intended Audience: This course is designed for a general audience seeking to understand the meaning and implications of ethical AI while addressing challenges in implementing or developing AI-enabled systems. There are no prerequisites for participation. The intended audience includes (but is not limited to):
Benefits:
The benefits of the IEEE CertifAIEd Foundations: AI Ethics Assessment Overview course include:
Course Logistics:
About the instructors
Alexandros Nousias is a Research Associate at the Institute of Informatics & Telecommunications of NCSR-D in Digital and AI law, governance and ethics. He consults research organisations and tech companies in the context of research and real market projects. In Academia, Alexandros is lead instructor of the Applied Ethics module in the context of MSc in AI at University of Piraeus, and MSc in Data Science at the University of Peloponnese. Additionally he lectures at several other universities, while serving as trainer and mentor for corporates and startups. As a technical consultant to the High-Level Advisory Committee on Artificial Intelligence for the Prime Minister, Alexandros contributed to drafting the “Blueprint for Greece’s AI Transformation.” He also actively contributes to the National Commission for Bioethics and Technoethics and serves as a Technical Representative at the Standards Working Group under the EU AI Board. Finally, Alexandros is an IEEE CertifAIEd AI Ethics Lead Assessor. He lectures on topics related AI ethics in the context of the two interdepartamental Masters of Science of IIT (MSc in AI, MSc in Data Science).
Maria Dagioglou is a post-doc researcher at the Institute of Informatics and Telecommunications (IIT) of NCSR-Demokritos. Her research work comprises human-AI/robot interaction and collaboration, AI ethics, human factors for AI design and she has an extended experience in the implementation of multi-disciplinary projects. She lectures on topics related to human factors and AI ethics in the context of the two interdepartamental Masters of Science of IIT (MSc in AI, MSc in Data Science). She has also served as a member of the High-level Expert Group of Artificial Intelligence appointed by the National Commission for Bioethics and Technoethics to contribute on the Recommendations on ethical issues of AI applications. Maria is an IEEE CertifAIEd AI Ethics Lead Assessor.
About IEEE CertifAIEd™ Assessor Training
As AI evolves rapidly, ensuring its responsible development and use becomes crucial. Organisations tasked with deploying technologies with embedded or hosted AI systems require the means to properly assess the ethical AI concerns and considerations to ensure stakeholders and end-users are treated fairly in the most trustworthy manner possible.
This training program enables participants to understand the need for ethical AIS, the principles surrounding AI ethics criteria, and provides an implementable framework and methodology for assessing the ethicality of AI-enabled systems.
Participants also learn the IEEE CertifAIEd™ methodology and how to apply it to an AIS assessment (e.g., assessment of a product that utilises AI algorithms or techniques).
About the ALIGN project, organiser of the trainings
The Project primarily focuses on the implementation of technical protocols and standards for ethical and legal compliance of AI systems and models, with the IEEE CertifAIEd protocol at the core, as well as any related or derivative protocols. Additionally, in collaboration with IEEE, the Project provides training services on the IEEE CertifAIEd standard. Upon completion of the training, participants will have the opportunity, through a relevant examination process conducted by IEEE, to become certified IEEE AI Ethics Assessors.