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Elsevier

AI Challenges for a Sustainable Future

  • 1st Edition - March 3, 2027
  • Latest edition
  • Authors: Kuldeep Kaswan, Jagjit Singh Dhatterwal, Anand Nayyar
  • Language: English

Artificial Intelligence (AI) has emerged as a fundamental transformative force which can create revolutionary solutions to protect the environment while encouraging economic… Read more

Description

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.

Key features

  • examines AI's challenges in sustainability, addressing key topics such as climate change, sustainable agriculture, resource management, and urbanization, to allow a 360-degree view of AI's impact on global sustainability challenges
  • explores critical ethical considerations surrounding AI, such as fairness, bias, and their potential effects on the job market and socioeconomic inequalities, highlighting the responsibility of AI in fostering social sustainability alongside environmental goals
  • offers real-world applications and case studies to provide practical insights for policymakers, entrepreneurs, and technology leaders on how to harness AI for positive social and environmental change, while also addressing its inherent challenges
  • adopts an interdisciplinary approach, bridging the gap between AI challenges, environmental science, economics, and social justice

Readership

graduate students and researchers working on the relationship between AI and environmental, social, and economic sustainability

Table of contents

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)

Product details

  • Edition: 1
  • Latest edition
  • Published: March 3, 2027
  • Language: English

About the authors

KK

Kuldeep Kaswan

Dr. Kuldeep Singh Kaswan is a Professor in the School of Computing Science and Engineering and Associate Dean–Planning at Galgotias University, Uttar Pradesh, India. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). With more than thirteen years of academic, research, and administrative experience, his expertise spans brain–computer interfaces, cyborg technology, intelligent systems, and sustainability. He also specializes in institutional benchmarking and strategic planning, particularly for the QS World University Rankings and Times Higher Education (THE) World University Rankings. Dr. Kaswan holds a Ph.D. in Computer Science from Banasthali Vidyapith, Rajasthan, and a Doctor of Engineering from the Dana Brain Health Institute, Iran. He previously served at Amity University, Gautam Buddha University, and PDM University. An accomplished educator, researcher, administrator, and mentor, he has guided numerous undergraduate and postgraduate projects, and six doctoral scholars have successfully completed their Ph.D. degrees under his supervision. He has authored 22 books, contributed more than 100 book chapters, and published research in reputed journals and conference proceedings, advancing computing education, sustainability, institutional excellence, and interdisciplinary technological research.

Affiliations and expertise
School of Computing Science and Engineering, Galgotias University, India

JD

Jagjit Singh Dhatterwal

Dr. Jagjit Singh Dhatterwal, is an Associate Professor at SR University, Warangal, Telangana, India. Before joining SR University, he served in the Department of Artificial Intelligence and Data Science at Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh.An experienced educator, researcher, and mentor, Dr. Dhatterwal has supervised undergraduate and postgraduate engineering projects. His research interests include artificial intelligence, brain–computer interfaces, cyborg technology, and multi-agent systems. He has authored more than 20 books, contributed over 100 book chapters, and published journal articles and conference papers. Dr. Dhatterwal is a member of the Computer Science Teachers Association, International Association of Engineers, International Association of Computer Science and Information Technology, Association for Computing Machinery, and Institute of Electrical and Electronics Engineers. He is also a Life Member of the Computer Society of India. Through his teaching, research, publications, and mentorship, he continues to contribute to artificial intelligence, computing education, and interdisciplinary technological advancement.

Affiliations and expertise
Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India

AN

Anand Nayyar

Dr. Anand Nayyar is Professor in the School of Computer Science and Artificial Intelligence at Duy Tan University, Vietnam, where he serves as Vice-Chairman (Research) and Director of the IoT and Intelligent Systems Laboratory. His research interests include wireless sensor networks, Internet of Things, artificial intelligence, swarm intelligence, cloud computing, blockchain, cybersecurity, healthcare informatics, big data, drones, and wireless communications. He has published extensively in peer-reviewed journals, conference proceedings, book chapters, and scholarly books, and is an inventor with patents and copyrights in multiple jurisdictions. Dr. Nayyar is actively engaged in international research collaborations, research-funded projects, and postgraduate supervision. He serves on editorial boards and technical committees for international journals and conferences and contributes extensively to peer review and research evaluation activities. He is a Senior Member of IEEE and ACM.

Affiliations and expertise
Professor, Vice-Chairman (Research) and Director, IoT and Intelligent Systems Laboratory, Duy Tan University, Vietnam