Epistemological Fault Lines Between Human and Artificial Intelligence: Pre-Print (osf.io)

A new pre-print titled "Epistemological Fault Lines Between Human and Artificial Intelligence" explores the differing ways humans and AI systems acquire, process, and validate knowledge. This research dives into the philosophical implications of how AI's mechanistic approaches contrast with human cognitive processes, particularly in areas like decision-making and reasoning. By highlighting these epistemological differences, the authors underscore the need for a clearer understanding of the limitations and capabilities of AI, especially as it increasingly replicates or augments human tasks. This study is significant for the AI/ML community because it prompts developers and researchers to reconsider the foundational principles guiding AI systems. As the technology becomes more integrated into critical decision-making processes across various fields, understanding these epistemological differences can lead to more responsible and effective AI implementations. Furthermore, the insights from this research may influence future AI training methodologies by advocating for a balance between human-like reasoning and machine efficiency, ultimately enhancing collaboration between humans and AI.