ARTIFICIAL INTELLIGENCE ETHICS IN PHILOSOPHY AND HUMAN DECISION MAKING SYSTEMS

Abstract

Artificial Intelligence (AI) is undoubtedly one of the most game-changing technologies of the twenty-first century, affecting human decision-making in healthcare, finance, education, law and public governance. The potential of AI is immense, with benefits in efficiency, accuracy, and prediction but also with the growing number of ethical and philosophical questions. The study explores the ethical implications of AI in the context of philosophical frameworks and their implications for human decision-making processes. The study is qualitative and uses a systematic literature review and thematic analysis approach, which examines the most important ethical issues such as algorithmic bias, transparency, accountability, privacy, autonomy and moral responsibility. The results show that classical theories of ethics like utilitarianism, deontological ethics, and virtue ethics, and ethics of care are still very relevant for assessing today's AI systems. The research also found that while AI can improve decision-making accuracy and streamline processes, overreliance on AI-recommended decisions can lead to a reduction in human autonomy and accountability issues. In addition, AI systems are not, at present, considered to be an autonomous moral agent, which means that human oversight is necessary for good governance. The study identifies the key elements of a robust AI governance framework, such as embedding ethical considerations within regulatory frameworks, establishing accountability systems, and incorporating human-centralized design practices. These measures are essential to ensure that the development of technology continues to be in line with core human values, social justice and democratic principles and to build public confidence in decision making processes involving AI.