AI Challenges for a Sustainable Future

Erscheinungsjahr 2027
ISBN: 978-0-443-33244-9
Verlag: Elsevier Science

Buch, Englisch, 400 Seiten, Format (B × H): 216 mm x 276 mm, Gewicht: 449 g

Artificial Intelligence (AI) has emerged as a fundamental transformative force which can create revolutionary solutions to protect the environment while encouraging economic development and improving social progress. AI also brings potential threats for the planet and for future generations. AI Challenges for a Sustainable Future analyzes the role of AI in promoting sustainability while also addressing the significant challenges it introduces which threaten long-term ecological and social equilibrium. It examines the impact of AI biases, along with energy use optimization challenges and social economic problems that result from AI applications. The book presents analysis of natural resource governance and sustainable computing development, and offers solutions to aid in the achievement of worldwide Sustainable Development Goals (SDGs), and questions how we can control AI technology before it undermines future developments. Each chapter explores a key issue, highlights obstacles, and suggests technological, ethical, and policy-oriented strategies to lessen AI's adverse effects while enhancing its advantages for a sustainable future. The book advocates for energy-efficient AI algorithms, green computing, and the development of sustainable hardware. It also recommends decentralized AI models to decrease dependence on energy-intensive cloud computing. Additionally, it discusses policy frameworks aimed at fostering responsible AI development and achieving carbon-neutral AI systems.

Autoren/Hrsg.

Kaswan, Kuldeep

Dhatterwal, Jagjit Singh

Nayyar, Anand

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
• Wirtschaftswissenschaften Betriebswirtschaft Betriebswirtschaft: Theorie & Allgemeines
• Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware

Inhaltsverzeichnis

1: The Environmental Impact of AI Technologies
2. Ethical Dilemmas in AI for Sustainable Development
3. AI and the Job Market: Balancing Automation with Employment Sustainability
4. AI challenges in Climate Change Mitigation: Opportunities and Challenges
5. AI challenges in the Governance of Natural Resources
6. Bias and Fairness in AI Models: Implications for Social Sustainability
7. Data Privacy and Security: Protecting Future Generations in the Age of AI
8. AI challenges in Sustainable Urbanization: Smart Cities of the Future
9. AI challenges in Agriculture: Enhancing Sustainability or Perpetuating Exploitation
10. AI challenges in Disaster Response and Resilience: Limitations and Opportunities
11. AI-Enhanced Biodiversity Conservation: Opportunities and Risks
12: AI challenges in water Resource Management for a Sustainable Future
13: Socioeconomic Disparities in the AI-Sustainability Nexus
14. The Energy Efficiency of AI: Striving for Sustainable Computing
15. AI challenges in Achieving Global SDGs (Sustainable Development Goals)

Über Autor(innen)

Dhatterwal, Jagjit Singh
Dr. Jagjit Singh Dhatterwal is an Associate Professor with the Department of Artificial Intelligence & Data Science Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India. He has supervised many UG and PG projects of engineering students. He is also a Member of Computer Science Teacher Association (CSTA), New York, USA, International Association of Engineers (IAENG), Hong Kong, IACSIT (International Association of Computer Science and Information Technology, USA, Professional Member of the Association of Computing Machinery, USA, IEEE, and a Life Member of the Computer Society of India. His areas of interest include Artificial Intelligence, BCI, Cyborg and Multi-Agents Technology. He has number of publications as Books/Book chapters/Journal papers and conference papers.

Kaswan, Kuldeep
Dr. Kuldeep Singh Kaswan is a distinguished academic figure, currently affiliated with the School of Computing Science & Engineering at Galgotias University in Uttar Pradesh, India. His extensive contributions are centered around the fields of Brain-Computer Interface (BCI), Cyborg technology, and Data Science. With a remarkable academic journey spanning thirteen years and experience garnered from esteemed global institutions such as Amity University, Noida, Gautam Buddha University in Greater Noida, and PDM University in Bahadurgarh, he has solidified his position as a leading expert in his domain. Dr. Kaswan holds a Doctorate in Computer Science from Banasthali Vidyapith in Rajasthan, a testament to his dedication to advancing knowledge in his field. He has also been awarded the prestigious Doctor of Engineering (D. Engg.) degree from the Dana Brain Health Institute in Iran, further enhancing his international recognition and expertise. His academic journey includes a Master's Degree in Computer Science and Engineering from Choudhary Devi Lal University in Sirsa, Haryana. A true mentor and guide, Dr. Kaswan has played a pivotal role in supervising numerous undergraduate and postgraduate projects for engineering students. He has authored nine books and contributed more than 50 book chapters, both at the national and international levels. His extensive body of work also includes numerous publications in esteemed international and national journals, as well as presentations at conferences.

Nayyar, Anand
Dr. Anand Nayyar received his Ph.D (Computer Science) from Desh Bhagat University in 2017 in Wireless Sensor Networks and Swarm Intelligence. He is currently working in School of Computer Science and Artificial Intelligence (SCA), Duy Tan University, Vietnam. He has published numerous research papers in various high-impact journals and holds 100 Patents to his credit in the area of Wireless Communications, Artificial Intelligence, IoT and Image Processing.