December 16, 2025
Following last year trainings’ success, the Institute of Informatics & Telecommunications (IIT) at NCSR Demokritos, in collaboration with IEEE SA continues the full certification programme, for interested practitioners to become IEEE CertifAIEd™ AI Ethics Professionals and deepen their knowledge of social responsibility in autonomous intelligent systems, the IEEE CertifAIEd™ AI Ethics Professional approach and how it complements the EU AI Act and the broader European standardisation ecosystem.
📅 IEEE CertifAIed™ Training | 28 – 30 January 2026
📍 NCSR Demokritos Campus | 🌍 Language: English | 🕒 3 days | 🍽️ Catering included
📍 On-site participation available for those living/working in Athens
💻 Online access for remote participants from anywhere in the world
AI regulation is shifting from voluntary guidelines to mandatory law. The IEEE CertifAIEd™ standard provides the most rigorous framework available for assessing algorithmic systems. This intensive program is designed to equip professionals with the skills to design, assess and validate AI systems using in-depth, internationally recognised frameworks from the IEEE Standards Association, in partnership with NCSR Demokritos and the ALIGN project.
What to expect:
- Deep dive into IEEE’s globally recognised AI ethics framework
- Gain the ability to connect ethical principles with concrete requirements from the EU AI Act, emerging harmonised standards, and organisational governance practices
- Real-world case studies and applied assessment techniques
- Delivered by domain experts — with clarity, precision, and purpose
- Focus on tools, methods, and actionable outcomes to facilitate entry into international markets
- Full access to materials, onsite amenities, and expert-led sessions
By completing this training, you’ll be among the first certified AI Ethics Professionals in Greece — joining a growing network working at the intersection of AI, ethics, and regulation.
Register here
Registration is open. Seats are limited.
Contact us with your questions: aicertifications@iit.demokritos.gr
Please note: Your registration will only be considered as completed upon full payment of the fees.
To formally confirm your enrollment, all participants must also submit an eligibility application directly on the official IEEE website: https://standards.ieee.org/products-programs/icap/ieee-certifaied/professional-certification/
Final confirmation is contingent upon IEEE approval.
Three-Tier Fee Structure:
| Registration Tier | Deadline (Athens Time) | Fee |
| Tier 0 | For students till the age of 26 | €880 |
| Early bird | Until 14 January 2026, 23:59 | €1,380 |
| Normal Fee | After 14 January 026 | €1,650 |
Key Learning Objectives:
- Describe the relationship of ethics and values to AI systems
- Impart an understanding of global public policy and regulatory initiatives around AI
- Provide a structured approach for assessing the ethicality of AI systems and products in terms of ethics and values
- Prepare training participants to understand and address the implications of AI ethics with the evolving AI regulations
- Address issues around the ethical and responsible use of AI in participants’ day-to-day jobs
- Prepare participants to become IEEE CertifAIEd Assessors.
Course Outline:
- Course overview and objectives.
- Meaning of ethics and values concerning AI-enabled products and systems.
- Overview of key global regulatory initiatives regarding the development and use of AI-enabled products.
- Description of the IEEE CertifAIEd framework and methodology for assessing the ethicality of AI-enabled systems and its application to emerging regulations and policies.
- Mapping ethical criteria to EU AI Act requirements and standardisation pathways.
- Discussion and application of the four IEEE CertifAIEd Ethical Criteria Suites (Accountability, Privacy, Algorithmic Bias, Transparency).
- Use case(s) for assessing the ethicality of AI-enabled products.
- Next steps in the IEEE CertifAIEd Authorised Assessor program.
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):
- Managers: Overseeing AI system development or use, needing to understand ethical implications within emerging regulations and public policy.
- Technical Personnel: Engineers, data scientists, and product developers who need to integrate ethical considerations into AI system development.
- Users: Individuals or organisations using AI systems in their daily work, requiring knowledge of ethical and responsible use.
- Regulators and Policymakers: Developing public policy for the ethical and responsible use of AI.
- Researchers and Educators: Understanding the ethical implications of AI systems in their research or teaching.
Register here
Benefits:
- Improved understanding of how ethics apply to AI systems and practical application in day-to-day tasks
- Application of the IEEE CertifAIEd AI Assessment methodology in thinking through real-world AI development and implementation
- Enhanced skills to assess and evaluate emerging AI regulations
- Demonstration of practical knowledge in AI ethics assessments
- Access to key insights and learnings from the globally recognised IEEE CertifAIEd
- Smooth navigation throughout design and regulatory complexities (including when systems integrate multiple components or rely on third-party models)
Course Logistics:
- 3-day x 8 hour training with interactive lecture sessions and hands-on group use cases
- IEEE-approved course materials will be provided to participants.
- Training is offered on site at NCSR Demokritos premises. Lunch/coffee breaks included
- A digital badge/certificate will be awarded upon successful training course & exam completion
Register here
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).
Allison Fisher is a seasoned leader and educator with a passion for agile learning and ethical AI and over 20 years of expertise in leadership, curriculum design, instruction, and building and scaling training programs. After spending 15 years in academia as a university professor and Dean, she transitioned to the field of AI, working with clients to integrate AI applications into education programs, and then as the Head of AI Academy, building an AI Academy from scratch in 18 months, resulting in large-scale training initiatives for renowned companies. Dr. Fisher’s steadfast commitment to ethical AI and transformative education positions her as a dedicated advocate in shaping the future of technology.
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.