Mia's Feed
Medical News & Research

Artificial Intelligence Mimics Human Social Perception, Opening New Avenues in Neuroscience Research

Artificial Intelligence Mimics Human Social Perception, Opening New Avenues in Neuroscience Research

Share this article

A new study reveals that AI models like ChatGPT can evaluate social interactions with accuracy comparable to humans, advancing neuroscience research and practical applications in healthcare and security.

2 min read

Recent advancements in artificial intelligence have demonstrated its capacity to analyze and interpret social interactions between individuals in images and videos with a level of accuracy comparable to human perception. A pioneering study conducted by researchers at the University of Turku in Finland, published in the journal Imaging Neuroscience, highlights how models like ChatGPT can assess various social features, including facial expressions, body language, cooperation, and hostility in diverse visual media.

In this investigation, the AI evaluated 138 social traits from numerous videos and photographs, and its assessments were compared against over 2,000 human evaluations. Remarkably, the AI's evaluations closely aligned with human judgments and were even more consistent than those of a single human observer. Postdoctoral researcher Severi Santavirta noted that the AI's evaluations could be considered highly trustworthy, although collaborative human assessments still outperform AI in accuracy.

An important aspect of this research was its exploration of how AI-driven social evaluations can aid neuroscience. By modeling brain networks involved in social perception using functional brain imaging data, researchers found that social assessments made by AI mirrored those derived from human judgments. This suggests AI's potential to facilitate large-scale, cost-effective neuroscience experiments, reducing manual effort and speeding up data processing. For example, what traditionally might require thousands of hours of human work can now be achieved in mere hours by AI.

Beyond research, the capabilities of AI in understanding social interactions have promising applications across various sectors. In healthcare, AI could monitor patient well-being continuously through video analysis. In marketing, it could predict audience responses to audiovisual content, and in security, it could identify abnormal situations via surveillance footage. AI's ability to operate tirelessly around the clock presents a significant advantage for continuous monitoring and analysis.

Overall, this study underscores how artificial intelligence is becoming an essential tool in both neuroscience and practical fields, offering new pathways to understand and interpret complex social behaviors efficiently and reliably.

source: https://medicalxpress.com/news/2025-09-ai-social-situations-similar-humans.html

Stay Updated with Mia's Feed

Get the latest health & wellness insights delivered straight to your inbox.

How often would you like updates?

We respect your privacy. Unsubscribe at any time.

Related Articles

Tinnitus and Its Connection to Cognitive Decline in the Elderly

Chronic tinnitus in older adults is significantly associated with cognitive decline, highlighting the need for comprehensive assessments for elderly patients with tinnitus.

Genetic Marker Discovery Could Enhance Brain Cancer Treatment Personalization

A groundbreaking study identifies a genetic biomarker that could help tailor glioblastoma treatment with bevacizumab, potentially improving outcomes through personalized medicine.

Innovative Drug IHMT-15130 Targets Heart Muscle Thickening and Inflammation

A novel compound, IHMT-15130, shows dual action in reducing heart muscle thickening and inflammation, offering new hope for cardiovascular therapies. Developed by Chinese researchers, it targets BMX kinase with high selectivity and efficacy in preclinical models.

Community-Driven Overdose Data Dashboard Enhances Real-Time Surveillance

Innovative overdose dashboards are providing communities with real-time data on overdose patterns and resources, enabling better public health responses and decision-making.