This study explores how the growing use of artificial intelligence (AI) may contribute to the gradual weakening of human morality and ethical decision-making, especially as AI systems become increasingly embedded in education, healthcare, communication and public services. The research examines whether heavy dependence on AI reduces human responsibility, moral judgment and empathy by encouraging people to rely on automated systems instead of engaging in thoughtful ethical reflection. Using a mixed-method approach, the study includes a systematic review of existing literature on AI and ethics, an analysis of real cases in which AI influenced or replaced human decisions and interviews with experts in ethics, technology and psychology to gain deeper insight into how AI may affect human behavior and moral reasoning. The findings reveal that although AI can improve decision-making by increasing efficiency and reducing certain forms of bias, it can also foster overreliance, leading individuals to disengage from moral choices and accept algorithmic outcomes with limited critical evaluation. The study further shows that algorithmic bias, opacity and inconsistent fairness can produce harmful decisions that complicate ethical accountability, as users may not understand how or why certain outcomes are generated. Additionally, when people interact more frequently with AI systems rather than other humans, they may exhibit reduced empathy and emotional involvement, which can influence moral behavior in everyday situations. Ultimately, the study concludes that AI itself does not inherently erode human morality; rather, careless design, insufficient regulation and uncritical trust in automated systems can gradually weaken ethical thinking and personal responsibility. To prevent this erosion, society must prioritize strong ethical guidelines, value-centered AI development, transparency in algorithmic processes and continuous moral education. These measures will help ensure that AI supports and enhances human moral agency rather than replacing or diminishing it.
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Momin Maryam Aafaque
Ansari Sadiya Gufran Ahmad
Momin Misbah
Capgemini (Netherlands)
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Aafaque et al. (Sat,) studied this question.
www.synapsesocial.com/papers/69be38b56e48c4981c679456 — DOI: https://doi.org/10.5281/zenodo.18218059