Artificial Intelligence’s (AI) rise and rapid advent is an unstoppable force that marks a pivotal moment in the evolution of powerful computers and communication technologies in multiple domains, revolutionizing industries and shaping future policies. AI opens unprecedented opportunities in many sectors and creates a paradigm shift in the virtual tech sector with the advancement of learning. The growth of AI has led to great changes in various fields, including healthcare, science, statistics, finance, nuclear, transportation, and many more. However, this progression poses significant challenges toward analysis, management, interpretation, and responsible data usage permeating every facet of society. In this chapter, we aim to provide a clear review of AI’s state of the art in multiple domains, focusing on bridging this gap by providing AI’s transformative power and implications. This work combines qualitative and quantitative analysis of AI adoption in various sectors and societal paradigms with a cohesive narrative of AI’s transformative potential. By examining analogous inventions from diverse perspectives, we aim to showcase a detailed understanding of the ramifications of AI. Yet, in tandem with these hurdles, AI also provides a chance to reshape innovation and decision-making and contribute to sustainable societal advancements. AI applications’ social and moral challenges need more focus, economic value, and innovation of multidisciplinary approaches and ideas for broader implementation.

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Ethical Considerations in AI for Social Transformation

  • Priyadarshini Pattanaik

摘要

Artificial Intelligence’s (AI) rise and rapid advent is an unstoppable force that marks a pivotal moment in the evolution of powerful computers and communication technologies in multiple domains, revolutionizing industries and shaping future policies. AI opens unprecedented opportunities in many sectors and creates a paradigm shift in the virtual tech sector with the advancement of learning. The growth of AI has led to great changes in various fields, including healthcare, science, statistics, finance, nuclear, transportation, and many more. However, this progression poses significant challenges toward analysis, management, interpretation, and responsible data usage permeating every facet of society. In this chapter, we aim to provide a clear review of AI’s state of the art in multiple domains, focusing on bridging this gap by providing AI’s transformative power and implications. This work combines qualitative and quantitative analysis of AI adoption in various sectors and societal paradigms with a cohesive narrative of AI’s transformative potential. By examining analogous inventions from diverse perspectives, we aim to showcase a detailed understanding of the ramifications of AI. Yet, in tandem with these hurdles, AI also provides a chance to reshape innovation and decision-making and contribute to sustainable societal advancements. AI applications’ social and moral challenges need more focus, economic value, and innovation of multidisciplinary approaches and ideas for broader implementation.