The article "Artificial Intelligence and Inequality: Challenges and Opportunities" by Milad Shahvaroughi Farahani and Ghazal Ghasemi explores the complex relationship between artificial intelligence (AI) and inequality. The authors examine how AI technologies can both exacerbate and address existing inequalities across various domains, including labor markets, education, healthcare, and access to services. Key concerns include job displacement, wage polarization, algorithmic biases, and the concentration of AI-related wealth and power. However, the article also highlights opportunities for AI to enhance efficiency, accessibility, and affordability in critical sectors, promoting inclusivity and fairness. Ethical considerations, such as transparency, accountability, and privacy, are crucial for mitigating negative impacts. The authors conclude that the ultimate impact of AI on inequality depends on the choices made in designing, deploying, and governing AI systems, emphasizing the need for a comprehensive approach that prioritizes equity, social justice, and human welfare.The article "Artificial Intelligence and Inequality: Challenges and Opportunities" by Milad Shahvaroughi Farahani and Ghazal Ghasemi explores the complex relationship between artificial intelligence (AI) and inequality. The authors examine how AI technologies can both exacerbate and address existing inequalities across various domains, including labor markets, education, healthcare, and access to services. Key concerns include job displacement, wage polarization, algorithmic biases, and the concentration of AI-related wealth and power. However, the article also highlights opportunities for AI to enhance efficiency, accessibility, and affordability in critical sectors, promoting inclusivity and fairness. Ethical considerations, such as transparency, accountability, and privacy, are crucial for mitigating negative impacts. The authors conclude that the ultimate impact of AI on inequality depends on the choices made in designing, deploying, and governing AI systems, emphasizing the need for a comprehensive approach that prioritizes equity, social justice, and human welfare.