Integrating 4E cognition with science and technology studies: a framework for understanding AI applications.

Area of Science:

• Cognitive Science
• Science and Technology Studies (STS)
• Artificial Intelligence (AI)

Background:

• Existing research in cognitive science and STS offers distinct perspectives on human cognition and technological systems.
• There is a need to bridge these fields to understand the intricate interplay between cognitive processes and socio-material contexts, particularly with advancing AI.

Purpose of the Study:

• To investigate the interrelations between cognition, socio-material practices, and AI technology.
• To develop an integrative theoretical framework that connects cognitive science and STS.
• To provide a novel perspective on how AI shapes and is shaped by human cognitive and social activities.

Main Methods:

• Theoretical synthesis of key concepts from cognitive science and STS.
• Development of an integrative framework to bridge the two research strands.
• Conceptual analysis of the role of AI in socio-material practices and cognition.

Main Results:

• An integrative framework is presented, offering a novel approach to understanding cognition in the context of AI and socio-material practices.
• The framework highlights the mutual influence between cognitive processes, social actions, and AI technologies.
• Demonstrates the potential for synergistic insights by combining cognitive science and STS.

Conclusions:

• The proposed integrative framework facilitates a more holistic understanding of AI's impact on cognition and society.
• Bridging cognitive science and STS offers valuable insights for designing and implementing AI responsibly.
• Future research can utilize this framework to explore specific AI applications and their cognitive and social implications.