Standards-Based AI Innovation for the Learning Ecosystem - Couverture souple

Couverture souple

ISBN 13 : 9798337322360

Editeur : Information Science Reference, 2025

A propos du livre

À propos des auteurs

Dr. Hdr. 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. Andres has served as an associate professor in the Digital Content and Media Sciences Research Division at the National Institute of Informatics (NII) in Tokyo, Japan, since 2000. He has authored over 150 papers in international journals and conferences. His major co-editor books are ” Impacts of Museums on Global Communication” (IGI-global publisher 2024), Assistive Technologies for Differently Abled Students (IGI-global publisher 2022) and Multiple Sensorial Media Advances and Applications: New Developments in MulSeMedia (IGI-global publisher 2011). His main research interests span collective intelligence-based knowledge, AI ethics, data science, supply chain innovation, and web-based science education for all. Since 2018, Dr. Andres has co-organized the International DECOR workshop in conjunction with IEEE ICDE. His team won the 1st prize in the IEEE Brain Data Bank Challenges and Competitions at COMPSAC 2018. On September 15, 2023, he received IEEE SA's CertifAIEd Authorized Lead Assessor recognition, and on October 22, 2023, he was named the “R10 Ethics Champion” by IEEE Region 10.

Teeradaj Racharak is a Senior Lecturer in the School of Information Science at the Japan Advanced Institute of Science and Technology (JAIST). He specializes in artificial intelligence (AI), particularly in neuro-symbolic AI, explainable AI, and knowledge representation. Racharak has a strong academic background, holding two Ph.D. degrees: one in Engineering and Technology from Thammasat University (majoring in formal argumentation) and another in Information Science from JAIST (majoring in description logic). Both of his PhD theses won the National Research Awards from National Research Council of Thailand. His research centers on enhancing AI transparency, fairness, and trustworthiness, working on topics such as argument mining, knowledge graphs, ontologies, and machine learning integration with reasoning systems. His work also includes developing AI systems that support fair and interpretable decision-making, aiming to address both technical and ethical AI challenges. 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.

Détails de l'édition

• Éditeur: Information Science Reference
• Date d'édition: 2025
• Langue: anglais
• ISBN 13: 9798337322360
• Reliure: Broché
• Nombre de pages: 328
• Éditeur: Andres Frederic, Racharak Teeradaj, Weger Gerlinde, Pester Andreas, Anantaram Chandrasekhar
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Allemagne