In an effort to empower responsible AI, help safeguard the ethical development and deployment of Autonomous Intelligent Systems, and allow organisations to ensure a sufficient level of AI literacy, as per the mandate of the EU AI Act, the Institute of Informatics & Telecommunications (IIT) at NCSR Demokritos in collaboration with IEEE SA are offering a series of professional trainings leading to IEEE certification as an AI ethics assessor (IEEE CertifAIEd™).
The first round of trainings begins with a 1-day taster condensed training titled AI Ethics Assessment Overview: ΙΕΕΕ CertifAIEd™ Foundation taking place on 20 and 21 March 2025.
Additional trainings will soon be organised (dates to be announced) for interested persons to become IEEE CertifAIEd authorised or Lead AI Ethics Assessor which entails 3.5 days of comprehensive training (IEEE_CertifAIEd_Training Flyer).
Each training session has a limited number of participants to ensure a high-quality experience.
The AI Ethics Assessment Overview: IEEE CertifAIEd™ Foundations training course introduces AI ethics and demonstrates how the IEEE CertifAIEd™ ethical AI Assessment methodology and framework can help evaluate the ethicality of AI systems and enterprise AI products.
The course discusses the impact of emerging AI regulations and public policy and how the IEEE CertifAIEd framework addresses these issues. This one day training is adapted from the successful IEEE CertifAIEd Authorised Assessor Training, offered globally to hundreds of workshop attendees.
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 21st February 2025, 23:59 Athens time.
Number of Registrants | Early Bird Fee (EUR)/person | Regular Fee (EUR)/person |
1 | 400 | 550 |
2-5 | 350 | 500 |
6+ | 300 | 450 |
Key Learning Objectives:
Course Outline:
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.