Artificial Intelligence and The Future of Scientific Progress: From Normal Science to Post Normal Science

Abstract

The concept of progress has long been a central focus of scholarly discourse, with science and technology serving as key drivers for societal advancement and the continual improvement of quality of life. In this context, the integration of AI into scientific discoveries has resulted in notable ontological and epistemological developments within the realm of science, lending itself to an understanding informed by post normal science approaches. This article aims to elucidate how artificial intelligence can augment the power of scientific discoveries and human knowledge in the ongoing progression of science. The research methodology employed for this study entails documentary studies and trend analysis is conducted to explore the influence of artificial intelligence on the advancement of science and technology.The principal findings of this investigation reveal that artificial intelligence has fundamentally transformed the structure, function, methodology, and human agency associated with scientific progress. Consequently, a new paradigm of dominance and subjugation within the scientific domain has emerged, perpetuating an increasing divide between AI beneficiaries and those deprived of such technological resources. This growing disparity underscores the significance of unequal access to emerging technologies and its implications for scientific research.

Keywords

• artificial intelligence
• normal science
• post-normal science
• scientific progress