article · Journal of Science Innovation and Technology Research
Artificial Intelligence (AI) constitutes an epochal shift, profoundly transforming human experience but simultaneously raising urgent ontological and ethical challenges, including cognitive atrophy, algorithmic bias, and truth decay. This research conducted an integrative literature review to synthesize the complex human-AI relationship through established theoretical lenses. Specifically, thematic findings on technological risks and human attributes are mapped against Socio-Technical Systems (STS) theory, which mandates the joint optimization of social and technical subsystems, and Value Sensitive Design (VSD), which requires the proactive embedding of human values into system architecture. The study further examined global AI ethics and governance instruments, including the EU AI Act and UNESCO’s Recommendation on the Ethics of AI, and identified a governance gap wherein macro-level regulations do not translate into granular, user-centric operational guidance. The study established a critical distinction, stating that AI operates on syntactic, probabilistic logic, while the human essence is defined by semantics, moral agency, and intrinsic purpose. Addressing the gap between technical utility and ontological preservation, the paper proposes two actionable frameworks, namely the 5-P Strategic Framework for fostering critical AI literacy and the V.A.L.U.E. Framework for guiding ethical AI utilization. These models offer stakeholders a strategic roadmap for adopting AI responsibly, ensuring that human agency and enduring values are protected in an increasingly automated environment.
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DOI: 10.70382/ajsitr.v10i9.069
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