Artificial Intelligence (AI) has emerged as a cornerstone of modern technology due to the unprecedented expansion of digital trace data and innovations in computing power. Technologies such as machine learning, deep learning, Transformers, and large language models (LLMs) are pivotal in driving applications across various domains, including personalized recommendation systems, speech recognition technology, autonomous vehicles, and crucial advancements in disease diagnosis. These AI solutions offer promising avenues to extrapolate human behavioral patterns, personalities, and value orientations from digital footprints or analyze facial cues for deeper psychological insights. However, with this expansive reach of AI come challenges like misdiagnosis, algorithmic bias, and privacy issues. Additionally, how humans perceive and interact with AI systems can significantly influence trustworthiness and reliability, presenting essential ethical and practical challenges to be addressed.
This Research Topic aims to delve into two interconnected areas: firstly, the utilization of AI to dissect and understand the cognitive operations by which humans perceive and process environmental and social stimuli, categorized under social computing. Secondly, it focuses on examining human behaviors and evaluations when interacting with AI applications, encapsulated by the disciplines of machine psychology and AI-human interaction. These inquiries open up explorations into understanding AI's capabilities in both being understood by humans and interpreting human cognition.
To gather further insights into the complex dynamics of AI and human cognition, we welcome articles addressing, but not limited to, the following themes:
- Machine learning as a psychological method
- Utilization of natural language processing in psychology
- Psychological processes explored through deep learning
- Understanding AI as an intelligent agent (machine psychology)
- Human interactions with AI systems
- The ethical dimensions of AI in human contexts
We encourage submissions of various article types, including but not limited to original research, review articles, case reports, and theoretical discussions.
Keywords: Human Cognition, Social Computing, Machine Learning, AI-Human Interaction, Ethical Challenges
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
