Abstract
<title>Abstract</title> <p>Artificial intelligence (AI) systems increasingly shape decision-making across critical sectors, including healthcare, defense, transportation, and education. Each domain presents unique ethical challenges that require tailored governance approaches. This paper examines sector-specific ethical considerations for clinical AI applications, military automation, autonomous vehicles, and educational technology. Through comparative analysis, the paper identifies shared principles and domain-specific risks, proposing a structured ethical framework to guide responsible AI deployment across diverse sociotechnical environments. The expanded discussion situates each sector within broader debates on algorithmic accountability, sociotechnical complexity, and public trust, offering a comprehensive foundation for future regulatory and scholarly work.</p>