Artificial Intelligence and Sustainability
Springer International Publishing (Verlag)
978-3-031-45213-0 (ISBN)
This book gives readers the tools to craft AI systems that don't just thrive today, but endure sustainably into the future. Whether a trailblazer or an aspiring innovator, this book enables readers to resonate with the ambitions of software developers, data scientists, and AI practitioners. The author covers the latest techniques and best practices for energy efficiency, reducing carbon footprints, and ensuring fair and ethical AI. The book also addresses important issues such as AI governance, managing risks, and ensuring transparency. Topics covered include understanding the relationship between AI and sustainable development, strategies for building efficient AI systems, and ethical considerations in AI development, among others. The author includes case studies of companies and organizations that have successfully implemented sustainable AI software development practices. Therefore, this book will be of interest to AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences.
lt;p>Mohamed Alloghani is an advisor (Research and Capacity Building) for the UAE's Minister of State for Artificial Intelligence, Digital Economy and Remote Work Applications at UAE Prime Minister's Office. Dr. Alloghani is the first UAE national graduated with a Doctor of Philosophy - PhD focused on Artificial Intelligence from Liverpool John Moores University. Dr. Alloghani has 17 years of working experience in various public organizations such as oil and gas industry, judicial/ public prosecution, agriculture and food safety as well as healthcare sector. As part of his work experience and working on strategic national missions, Dr. Alloghani was delegated by Minister of State for Artificial Intelligence and appointed by the Director-General of UNESCO to represent UAE in the Ad Hoc Expert Group (AHEG), in March 2020. The group comprised of 24 renowned specialists selected from the world. Dr. Alloghani with his colleagues from AHEG have produced the first-ever global standard on AI ethics - the 'Recommendation on the Ethics of Artificial Intelligence' in November 2021. The Recommendation on the Ethics of Artificial Intelligence framework was adopted by acclamation by 193 Member States at UNESCO's General Conference in November 2021.
He was the head of UAE delegation G20 Digital Economy Task Force (DETF) in Feb 2020. Dr. Alloghani research interest's focuses on artificial intelligence, research and development, software engineering and project management. He authored and co-authored several scientific papers in regional and international high-impact journals and conferences. He published 52 peer-reviewed scientific papers and have published a book with Springer entitled Artificial Intelligence for Data Science in Theory and Practice Dr. Alloghani has trained many students as part of the UAE AI Summer Camp and contributed to the review of UAE's National Strategy for AI 2031.
Introduction.- Introduction to AI and Sustainability.- Challenges surrounding AI software development.- Strategies for building efficient AI systems.- Ethical considerations in AI development.- AI and Energy.- AI and Climate Change.- AI and Natural Resource Management.- AI and Sustainable Agriculture.- AI and Sustainable Transport.- AI and Sustainable Cities.- AI and Sustainable Business.- Methods for ensuring data privacy and security in AI software.- Case studies.- Future directions for sustainable AI software development.- Conclusion.
| Erscheinungsdatum | 28.11.2023 |
|---|---|
| Reihe/Serie | Signals and Communication Technology |
| Zusatzinfo | XX, 212 p. 25 illus., 12 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 505 g |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| Technik ► Nachrichtentechnik | |
| Schlagworte | Artificial Intelligence • Bioinformatics • Data Mining • Facial Recognition • Health Informatics • Image Processing • machine learning • Natural Language Processing • sustainability |
| ISBN-10 | 3-031-45213-5 / 3031452135 |
| ISBN-13 | 978-3-031-45213-0 / 9783031452130 |
| Zustand | Neuware |
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