Exploring the Ethical, Technical, and Societal Implications of Artificial Intelligence in Modern Decision-Making Systems
Keywords:
Artificial Intelligence, Decision-Making Systems, Algorithmic Bias, Ethical AI, Societal Impact, Transparency, AccountabilityAbstract
Artificial Intelligence (AI) has rapidly become an essential tool in modern decision-making systems, impacting various sectors such as healthcare, finance, governance, and social media. While AI-driven decision-making systems offer unprecedented efficiency and accuracy, they also raise significant ethical, technical, and societal concerns. Issues such as algorithmic bias, lack of transparency, accountability, and the displacement of human labor are becoming increasingly evident. This paper explores the ethical, technical, and societal dimensions of AI in decision-making, highlighting existing literature, identifying challenges, and proposing future research directions to create more balanced and fair AI systems. A structured analysis is conducted, supported by data visualization and real-world case studies, to offer a comprehensive understanding of AI's role in modern decision-making systems.
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