PHILOSOPHY AND PRAXIS

The paper argued that the integration of artificial intelligence (AI) into knowledge Tproduction has raised significant philosophical and ethical questions regarding the nature of understanding and the basis of epistemic authority. It employs dialectical analysis, drawing upon contemporary epistemology and ethics, to examine how AI-generated outputs challenge traditional models of human cognition and the implications for intellectual autonomy. The analysis reveals that while AI systems are proficient at processing vast datasets and identifying patterns, they essentially lack consciousness and intentionality, qualities central to human comprehension. This absence raises concerns about the potential for AI to perpetuate biases present in training data, thereby reinforcing existing societal inequalities. Moreover, an overreliance on AI for critical thinking tasks may erode individual intellectual autonomy, as users become passive recipients of machine-generated conclusions. To address these challenges, a framework is proposed that emphasises ethical oversight, transparency in AI design, and the promotion of human-AI collaboration that respects and enhances human cognitive faculties. Ultimately, the paper argues that the future of knowledge should not be dictated by AI capabilities alone but should focus on integrating AI in ways that uphold human values and promote equitable access to information.

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