The Digital Paradigm: Unraveling the Impact of Artificial Intelligence and Internet of Things on Achieving Sustainable Development Goals

The UN General Assembly established the Sustainable Development Goals (SDGs) in 2015, with a target year of 2030. The goals address three critical aspects of community development: social diversity, environmental protection, and economic prosperity. The aim of this chapter is to discuss the role of AIoT in achieving long-term development goals. Firstly, we describe the “Introduction to Artificial intelligence of things (AIoT) and SDGs” and provide an overview of AIoT and SDGs, including definitions, concepts, and objectives. It also discusses AIoT potential to help achieve the SDGs, as well as the challenges and opportunities. Then, we discussed the “Applications of AIoT for SDGs,” delves into how AIoT can be used to achieve specific SDGs like environmental protection, renewable technology, sustainable farming, water and hygiene, and smart development and communities. Machine learning, deep learning, natural language processing, computer vision, and IoT platforms are also covered in this chapter. It also looks at the challenges and opportunities associated with using these technologies to achieve the SDGs. After that, “The role of big data, cyber-physical systems, intelligent systems, and blockchain in SDGs,” are discussed. In this, we examine the role of big data analytics, cyber-physical systems, intelligent systems, and blockchain technology in achieving SDGs. It also discusses the difficulties and limitations of using these systems to achieve long-term development goals. Then, “Ethics and Governance of AIoT for SDG Achievement,” is explained which discusses the ethical and governance issues associated with AIoT for SDG achievement. It also investigates the potential risks and benefits of AIoT and offers recommendations for ethical and responsible AIoT development and deployment. At the last, we discuss the “Future Directions and Challenges of AIoT for Sustainable Development Goals,” In this, we also look at the potential of emerging technologies and trends like edge computing, blockchain, and 5G, as well as the difficulties of scaling up AIoT applications for broader impact. At the end, a conclusion is drawn on the basis of these chapters.