Search Results - AI ethics

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    Exploring The Religio-Socio Ethical Dimensions of Ai-Driven Evangelism: Opportunities, Challenges, And Implications by Alao, Oluwafemi Joseph, Dairo, Afolorunso Olalekan

    Published 2024
    “…This paper investigates the impact of AI-driven evangelism, focusing on its religiosocio ethical dimensions. …”
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    The Impact of Organizational Inertia on AI Implementation by Yang, Li, Wai Yie, Leong

    Published 2025
    “…When ChatGPT-3.5 entered the consumer-grade market, artificial intelligence (AI) technology has developed at a rapid pace and become an important driving force for the progress of human civilization. …”
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    Review and bibliometric analysis of AI-driven advancements in healthcare by Wang, Yi Jie, Choo, Wei Chong, Ng, Keng Yap

    Published 2024
    “…Gender-related research and ethical issues are areas of future focus. Research implications: The practical significance is that it can clarify and optimize the key directions of AI to improve the quality of medical decision-making, improve diagnostic accuracy and guide market investment. …”
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    Ethics of artificial insemination: an Islamic perspective by Islam, Sharmin, Nordin, Rusli, Samsuddin, Ab Rani, Mohd. Nor, Hanapi

    Published 2007
    “…This paper aims to address ethical issues related to the assisted reproductive technology method of artificial insemination (AI) from the Islamic perspective. …”
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    FROM LEGALITY TO RESPONSIBILITY: CHARTING THE COURSE FOR AI REGULATION IN MALAYSIA by Hossain, Mohammad, Miraz, Mahadi Hasan, Ya’u, Abba

    Published 2024
    “…By navigating this trajectory towards responsible AI regulation, Malaysia can unlock the full potential of AI while upholding ethical standards, protecting individual rights, and mitigating risks associated with AI technologies.…”
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    A Study On AI-Driven Solutions for Cloud Security Platform by Menaga, Segar, Mohamad Fadli, Zolkipli

    Published 2024
    “…This paper examines the role of AI in the improvement of cloud security with specific emphasis on deep learning, ensemble learning and lightweight AI approaches. …”
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    Data Science for AI Chatbot Bias Detection and Mitigation in Healthcare by Amareshwari, Parunandhi, Sathwika, Nagasamudrala, Laxmi Prasanna, Mendu, Sreeja, Somanaboina

    Published 2025
    “…It also discusses mitigation strategies like representative data sampling, algorithmic refinement, feedback loops, and human oversight to ensure ethical and equitable AI usage.…”
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    Generative AI and children’s digital futures: New research challenges by Leaver, Tama, Srdarov, Suzanne

    Published 2025
    “…From WALL·E (Stanton, 2008) to The Wild Robot (Sanders, 2024), children’s popular cultureis filled with sympathetic, lovable, heroic artificial intelligence (AI) and robotic characterswho make passionate and ethical choices about their own existence and help others. …”
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    The significance of the virtue of friendliness for moral education in the age of artificial intelligence (AI) by Yasin, Maizura, Mohamed Mokhtar, Marzni, Le, Song

    Published 2024
    “…Researchers advocate enhancing moral education on the virtue of friendliness to respond to increasingly complex ethical issues through the development of AI. This study not only provides a new way to inherit and develop traditional virtue ethics in the context of AI technology but also illustrates the significance of the virtue of friendliness in moral education in shaping people’s moral behaviours.…”
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    Cross-Layered Sentiment Analysis for Identifying Learner Intent in AI Chatbots by Hamza Ali, Muhammad, Afrin, Mahbuba, Mahmud, Redowan, Krishna, Aneesh

    Published 2025
    “…By discerning authentic learning mindsets from superficial engagements, SentimentGPT enables AI chatbots to deliver tailored responses without compromising educational ethics. …”
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    The critical driving and success factors for the successful implementation of AI for businesses in the retail industry by Naeem, Mir Fawwaz

    Published 2025
    “…These are followed by the importance of obtaining senior executive buy-in, adequately preparing data for high quality, using cost-effective approaches, continuously monitoring and retraining models and ensuring the ethical use of AI. Aside from a comprehensive list of factors, this study provides a guiding framework to help retail decision-makers prioritise key elements for AI in their implementation journey. …”
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    A Literature Study on GenAI Adoption Behavior from the UTAUT Perspective by Sun, Dongshuo, Leong, Wai Yie

    Published 2025
    “…The research findings indicate that existing studies have confirmed that technological characteristics, individual traits, and environmental support are key factors influencing GenAI adoption, with widespread attention paid to trust and ethical issues. …”
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