International Research Journal of Education and Technology

Artificial Intelligence (AI) has emerged as a transformative force in the 21st century, significantly influencing human decision-making across diverse domains. From healthcare and finance to education and governance, AI systems enhance efficiency, accuracy, and scalability of decisions, yet they also introduce ethical, social, and cognitive challenges. This paper explores how AI augments human judgment through predictive analytics, automation, and personalized recommendations while examining the risks of bias, over-reliance, and loss of autonomy. Key AI technologies, such as machine learning, natural language processing, and deep learning, are analyzed for their role in reshaping decision-making processes. The advent of quantum AI poses further opportunities and threats, necessitating adaptive frameworks to ensure responsible integration. Challenges include data privacy, algorithmic transparency, and the digital divide, which exacerbate inequities in decision-making access. Applications span smart healthcare, autonomous vehicles, financial trading, and public policy, underscoring AI’s pervasive impact. Continuous research, ethical guidelines, and interdisciplinary collaboration are vital to harnessing AI’s potential while mitigating its risks, ensuring decisions remain human-centric in an AI-driven era.

Keywords:

Artificial Intelligence (AI), Decision-Making, Machine Learning, Ethical AI, Data Privacy.