The Impact of Artificial Intelligence on Sustainable Development

The Impact of Artificial Intelligence on Sustainable Development
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The Impact of Artificial Intelligence on Sustainable Development
The impacts are expected to be profound. "Artificial intelligence" (AI) is already playing a central role in sustainable development today, while some other impacts have been predicted but not yet realized. The development of AI has been driven by a change in the nature of science from a knowledge-based paradigm to an evidence-based paradigm. Over time, advances in computer hardware and software have made it possible for artificial agents to undertake tasks previously considered impossible or constrained to human performance alone. AI is not just a new technology but also requires a new approach to sustainable development. It requires the development of new concepts and principles that can be used to transform and manage human society. These principles should be aligned with the strategic objectives of sustainable development while the potential future impacts are considered (Balogun et al., 2020). AI is defined as a field of interdisciplinary research and development that aims to build intelligent agents (and machines) that can think, act, and interact with human beings. This is already affecting society in many ways, both positive and negative. These impacts are expected to increase over time as the capabilities of AI systems expand. The impacts can be categorized into several groups. AI impacts sustainable development because it supports poverty reduction, facilitates learning, and resource management, offers protection against emerging risks, and enhances opportunities linked to the use of data and algorithms.
Given the current technological advancements, AI will change the face of poverty reduction because it makes it easy for human beings to carry out productive tasks within a short period. Once a luxury, artificial intelligence is now widely available for use in developing economies and heavily invested in future-focused projects to improve social inequality. The two primary arguments for using AI in poverty reduction are to remove bias from human decision-making and to increase efficiency by automating existing practices through data processing. According to a study by Oxfam, more than 85% of wealth created last year went to the top 1% (van, 2021). The use of AI in medicine and agriculture is intended to give the poor an equal chance at development. Over the next few decades, AI will be increasingly used for betterment in developing countries. If policymakers embrace the technology, using AI to enable sustained growth and reduce poverty is a realistic goal. The major concerns in implementing the technology are the lack of human knowledge and the availability of resources. Machines must understand human behavior and have access to relevant data before becoming effective tools in development efforts. Therefore, when the machines understand the data, it becomes easier to perform the allocated tasks than human beings would have done. AI is being advanced in agriculture to target the production and distribution of food. A study in Kenya identified the ideal soil temperature for farming by using AI to ...