Standards-Based AI Innovation for the Learning Ecosystem

Standards-based AI innovation transforms the learning ecosystem, offering new opportunities to enhance educational quality, accessibility, and personalization. By developing and applying frameworks and ethical guidelines, institutions ensure AI technologies in education are transparent, equitable, and aligned with learning goals. These standards build trust among educators, students, and policymakers, while supporting diverse learning environments. As AI becomes more integrated into teaching, assessment, and administration, a standards-driven approach guides responsible innovation and increases the positive impact on global learners. Standards-Based AI Innovation for the Learning Ecosystem explores the transformative potential of educational policy and standards in shaping the future of AI-driven education and training. It examines how adherence to standards enhances trust, accountability, and effectiveness in AI-powered educational tools. This book covers topics such as data science, ethics and law, and inclusive education, and is a useful resource for educators, policymakers, engineers, academicians, researchers, and scientists.

Dr. Frederic Andres received his Ph.D. in Information Systems from the University of Paris VI “Pierre et Marie Curie” in 1993 and his Dr. Habilitation in Informatics from the University of Nantes in 2000. Dr. Frederic Andres has been associate professor in the Digital Content and Media Sciences Research Division of the National Institute of Informatics (NII) in Tokyo, Japan since 2000. He is author of more than 150 papers on international journals, books and conferences. His main research areas of interest include several topics such as collective intelligence-based knowledge, AI ethics, data science, supply chain and pedagogy and didactical web-based science education for all. He has been co-organising the International DECOR workshop since 2018 in conjunction with IEEE ICDE. His team won the 1st prize in IEEE Brain Data Bank Challenges and Competitions at COMPSAC 2018, July 2018. Dr. Frederic Andres received the IEEE CertifAIEd Authorized Lead Assessor recognition from IEEE SA on September 15, 2023. In addition, he was named “R10 Ethics Champion” by IEEE Region 10 on 22 Oct 2023.

Teeradaj Racharak is an Associate Professor in the AI Algorithms Division at the Advanced Institute of So-Go-Chi (Convergence Knowledge) Informatics, Tohoku University, Japan, and a Visiting Associate Professor at the School of Information Science, Japan Advanced Institute of Science and Technology (JAIST). His research spans across knowledge representation and reasoning, trustworthy machine learning, and neural-symbolic learning. Recent contributions include work on metaphoric testing for language models, weight-aware evaluation of knowledge embeddings, argumentation mining in user-generated content, and under specification analysis in image classification pipelines. These projects reflect his multidisciplinary approach to advancing trustworthy AI across perception, language, and structured knowledge. In addition, Dr. Racharak is actively engaged in building frameworks and methodologies that support verifiable and interpretable AI, contributing to a future in which intelligent systems can be both powerful and principled. In addition to his academic contributions, he is affiliated as IEEE CertifAIEd Authorized Assessor from September 2023 and involved in the international standardization efforts in AI (ISO on Artificial Intelligence) from March 2024.

Gerlinde Weger is instrumental in establishing certification standards for the ethical use of advanced technologies and developing methodologies for enhancing human capacity and optimizing ethical technology deployment. Understanding that frameworks and processes are only as good as their implementation, Gerlinde focuses on education and communication for individuals and teams, enabling the power of technology to be harnessed responsibly. Her extensive international experience in governance, marketing/communications, and behavioral change positions her uniquely to anticipate the transformative demands necessitated by advanced technologies. Gerlinde is the Technical Lead for IEEE-SA CertifAIEd and is the chair of IEEE-SA P7003 The Standard for Algorithmic Bias Considerations.

Andreas Pester graduated in mathematics from Odessa State University in 1976, he got his PhD from Kiev State University in 1979 and he habilitated at the University of Technology Dresden in 1984. 2020 he retired from the University of Applied Sciences in Carinthia in Austria. Currently he is a professor for natural language processing and deep learning at the British University in Egypt in Sherouk. He is the author and co-author of more than 75 publications. He was a guest professor at the UPC Barcelona, Technical University Porto, Technical Universities of Kharkov, Technical University Kiev, Polytechnic University St. Petersburg, State University of Petrozavodsk, BTH Karlskrona, University Maribor, UNESP Bauru (Brazil), AUA Erivan and others. He was and is involved in more than 20 EU- and national projects (as project leader or as collaborator), including Erasmus +, TEMPUS, MINERVA etc. His research interests are in deep learning, especially Graph Neural Network architectures and Large Language Models. Actually, he is the co-chair of the IEEE Global Engineering Conference (EDUCON’26), and he chaired also EDUCON’21, Interactive Collaborative and Blended Learning (ICBL) conferences from 2008 – 2019, and is member of the PC of several other conferences etc. He holds the IEEE Education Society Distinguished Chapter Leader Award 2023. He also holds the EDUCON Meritorious Service Award for outstanding contributions to the administrative and management efforts for the IEEE EDUCON conference.

Dr. C. Anantaram specializes in application of Artificial Intelligence techniques to real- world systems and his areas of work include trustworthy AI systems, explainability, knowledge representation, reasoning, and integrating AI techniques in business applications. He has 38 years of experience in AI and has published over 45 papers and holds 8 patents. He is an active member of ISO/IEC JTC1/SC42 Artificial intelligence committee, that is formulating international standards in the field of AI, and also an active member of the Indian standards committee, BIS LITD30, that focuses on both international and national standards in AI. He was a Visiting Faculty at the Department of Computer Science and Engineering, IIIT Delhi from 2019 to 2023. Prior to that he was a Principal Scientist in the R&D division of Tata Consultancy Services Limited. He was also an associate editor of the Acadlore Transactions on AI and Machine Learning journal for many years. He did his PhD in Computer Science from IIT Bombay.