International Research Journal of Education and Technology

Artificial Intelligence (AI) has emerged as a pivotal force in transforming decision-making processes across various industries in the digital era. By leveraging advanced algorithms, machine learning models, and data-driven insights, AI systems have demonstrated exceptional capabilities in enhancing efficiency, accuracy, and scalability. Sectors such as healthcare, finance, governance, and education are increasingly adopting AI technologies to streamline operations, predict outcomes, and support critical decisions. However, this growing reliance on AI introduces significant challenges, including ethical concerns, algorithmic bias, data privacy risks, and the potential erosion of human autonomy. Notable cases, such as the COMPAS algorithm’s racial bias in criminal justice and overreliance on AI-powered diagnostic tools in healthcare, highlight the need for responsible AI integration. Moreover, the inherent opacity of complex AI models, often referred to as the “black box” problem, raises concerns about accountability and trust. To address these issues, ongoing research, transparent design practices, and the establishment of ethical frameworks are crucial in ensuring AI systems align with human values and social responsibility. As AI continues to evolve, especially with the advent of quantum computing, proactive strategies must prioritize human-centric decision-making frameworks. By emphasizing fairness, transparency, and accountability, AI can effectively enhance decision-making while minimizing risks of bias, overdependence, and loss of control. This paper explores the transformative role of AI in modern decision-making, highlighting its benefits, challenges, and the necessity for ethical safeguards to maximize its potential for positive societal impact.