The Ethical Implications of Artificial Intelligence: How AI is Shaping the Future of Human Decision-Making and Societal Norms

Abstract

This study focuses on the question of the ethical condition in the creation and usage of artificial intelligence agents and their effects on human choice-making beings. Through exploring the real-life application of AI in government, consumption, and healthcare this paper reveals the positive impact and potential for the abuse of the AI technologies. The work explores the Strength, Weakness, Opportunity, and Threat of the four algorithms; Decision Trees, Support Vector Machines, Neural Networks, and Ensemble Methods applied to real-world scenarios based on accuracy, precision, recall, and F1 score metrics. The findings show that the Neural Networks yielded the highest accuracy of 92% while Ensemble Methods had 88% accuracy; Support Vector Machines had 85% accuracy; and Decision Trees had 80% accuracy. These results confirm the effectiveness of superior algorithms simultaneously as they raise the questions regarding interpretability, fairness and responsivity to the AI systems. The study is concluded by the call for developing of the set of the ethical standards and regulations to address these challenges and in order to deploy the AI safely and responsibly. There are quite a lot of recommendations for future research: the questions of ethical decision-making, the problems of recognition of potential positive impacts of AI, and search for potential solutions to minimize negative impacts.