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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

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

JD

Jagjit Singh Dhatterwal

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

AN

Anand Nayyar

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.

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