THE GLOBAL SOCIAL DYNAMICS AND INEQUALITIES OF ARTIFICIAL INTELLIGENCE

This article explores the potential of Artificial Intelligence (AI) to exacerbate or promote social inequities. AI, which replicates human intellect through technology, could impact global social dynamics significantly. Expert systems, voice recognition, natural language processing, and machine vision are examples of AI applications. The study aims to analyze the impact of AI in high-income and Low- and Middle-Income Countries (LMICs) and identify the factors contributing to social inequalities arising from adopting and utilizing AI technologies. By analyzing secondary data from academic literature, research papers, and policy documents, this study provides insights into the societal effects of AI. It emphasizes the need for proactive efforts to address AI-related inequities. The impact of AI on labour markets, education systems, healthcare practices, and governance structures is examined by reviewing current literature. Qualitative research methods are employed to understand AI's social influence comprehensively. The study highlights economic gaps in access to AI technologies, emphasizing the digital divide as a critical issue that needs to be overcome for broad and equitable AI deployment. Biases in AI systems that perpetuate discrimination and social preconceptions are also identified. The results underscore the importance of responsible AI development and inclusive policies to mitigate adverse effects and harness AI's potential for social benefit. Policymakers must prioritize education and digital infrastructure to bridge the digital gap and protect disadvantaged groups in an AI-driven future. The research underscores the need for fairness and transparency in AI systems and recommends ethical rules and legislation to address biases and promote equal opportunities. This research highlights the urgent necessity to address the social dynamics and inequalities associated with AI adoption. Companies can contribute to more inclusive and equitable AI systems by promoting diversity in AI development teams and conducting regular bias checks. Policymakers, industry leaders, and society must collaborate to establish a robust ethical framework for AI development, ensuring that AI technology is used for all benefits. By understanding and tackling the challenges posed by AI, we can strive towards a more equal and just society.