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This book provides a comprehensive examination of the role of artificial intelligence (AI) in driving technological innovation and promoting sustainability across various industries. The book begins by outlining the foundational principles of AI, exploring its core technologies, and presenting an overview of ethical considerations in AI development and deployment.
The book includes sections on: AI in healthcare, which includes advancements in AI-enabled diagnostics, personalized treatment, drug discovery, and predictive modeling for disease outbreaks; AI's potential for social good, examining its role in combating disinformation, enhancing education, supporting humanitarian efforts, and promoting accessibility and inclusion; the future of work, including the dynamics of human-AI collaboration, new job paradigms, and the challenges of AI-driven automation, as well as practical recommendations for upskilling and reskilling the workforce. The book also considers technological advancements that contribute to sustainable development, such as machine learning for energy efficiency, smart grids, and sustainable agriculture. The book emphasizes the need for interdisciplinary collaboration among researchers, industry leaders, and policymakers to harness AI's potential for a sustainable future.
Technological Innovation and Sustainability through AI offers a valuable resource for academics, practitioners, and policymakers, providing a holistic understanding of how AI can be leveraged to drive technological innovation and sustainability.
List of contents
Chapter 01: The Nexus between Digital Transformation and Corporate Environmental Performance
Terezin MathewChapter 02: The impact of sporting events on tourism attractiveness: Organization of the 2030 World Cup in Morocco
EL KARMAOUI Fatima ZahraChapter 03: Navigating the Pandemic with AI: Toward Sustainable Deep Learning and Machine Learning Approaches for X-Ray and CT-Based COVID-19 Detection
Youness ChawkiChapter 04 - Improving Predictions of Student Performance and Personalized School Guidance with Hybrid Machine Learning Models: A Case Study in Cameroonian Secondary Schools
Eric Desiré KAMENI, Stephane Cédric Tekouabou Koumetio, Marlene Djoutieu TEGANKONG and Samsong Durand Priso Essawe NdediChapter 05: Improving Governance 4.0 and Bottom-Up Decision-making Approaches in Moroccan Higher Education Through Sentiment Machine Learning Analysis
Said AzelmadChapter 06: Experimentation in physics teaching and the contribution of artificial intelligence and virtual labs
Zineb Azar, Dardary Oussama, Malika Tridane, Said BelaaouadChapter 07: Integration of artificial intelligence, virtual labs, and digital simulation in science education
Dardary Oussama, Zineb Azar, Malika Tridane, Said BelaaouadChapter 08: REFRAMING TECHNOLOGICAL INNOVATION DIMENSION AND AI COMPETITIVENESS FOR PRO-GROWTH SMALL BUSINESSES IN SUB-SAHARAN AFRICA
Olubiyi, Timilehin OlasojiChapter 09: A qualitative systematic review of the influential factors for green decision-making
Mouhcine Rhouiri, Merouane El Azami El Hassani, Mohamed-Habiboullah Meyabe, Mehdi BensoudaChapter 10: Nexus between Renewable Energy, Artificial Intelligence, and Economic Growth: The Moroccan case
Yahya Fikria, Mohamed RhalmaaChapter 11: Impact of new technologies and sustainability on maintenance in the era of Artificial Intelligence
Amal NAJI and Zitouni BEIDOURIChapter 12: Group work in the digital age: a survey of banking Human Resources in Morocco
Abdelaziz Berdi, Seghyar Nabil, Ahmed EL hammoumiChapter 13: AI-Powered Waste Management: Transforming Linear Systems into Circular Economy Solutions
Shubham GuptaChapter 14: AI-Driven Innovation in Waste Management and Recycling
Vinod B R, Arunakumari BN, M. Varuna, Jyothi D NChapter 15: Artificial Intelligence and Biodiversity Regeneration: Inclusive Strategies for Smart Cities in the Global South
Nawal BenabdallahChapter 16: Artificial Intelligence in Sustainable Supply Chain Management
Mohamed Badiy, Charaf Hamidi, Fatima Amounas, Zaynab Khalfi, Salma Gaou, and Abdelaaziz Hessane
About the author
El Arbi Abdellaoui Alaoui, a Professor at ENS, Moulay Ismaïl University, research wireless networking, AI, IoT, and smart cities. With a 2017 PhD in Computer Science, he publishes extensively and contributes to the academic community as a reviewer and guest editor.
Stéphane C. K. Tékouabou, an Assistant Professor (Senior Lecturer) at the ENS - University of Yaoundé 1, specializes in computer vision, AI, machine learning, and urban engineering. He holds a 2020 Ph.D. from Chouaib Doukkali University and was a PostDoc Researcher at UM6P. He also contributes as an associate editor and journal reviewer.
Abdelaaziz Hessane, an Assistant Professor at Moulay Ismail University, specializes in AI, Machine Learning, and Deep Learning, with applications in smart grids, agriculture, and more. He holds a 2024 Ph.D. in Computer Science and has a strong publication record, actively contributing to conferences and journals.
Amine SALLAH earned his PhD in Artificial Intelligence in 2024 from the Faculty of Sciences and Technology, Errachidia, Morocco. His research focuses on cybersecurity, AI and machine learning, genetic algorithms, explainable AI (XAI), and LLMs.
