How do language models perform in social scenarios such as human

Great Language Models (LLS) – AI, which is behind the tools such as ChatGpt, is integrated in increasingly daily lives, providing email to tasks, to answer questions and even support health decisions. Can these models cooperate with people in the same way? Can you understand social situations, compromise or build confidence?

Researchers’ Helmholtz by researchers in Munich, the Institute of Biological Cybernetics and Tubingen University and Tubingen University, although today’s Ai’s Ai is still a lot about social intelligence.

The research was published in the magazine Nature human behavior.

Play games to understand AI behavior

To find out how the LLMS behaves in social situations, the theory of conduct, behavioral theory – the theory of the behavioral game used in general to the development of cooperation, competition and decision-a method. The team has been engaged in a number of games designed to simulate various AI models, including GPT-4, social interaction and evaluate key factors such as justice, confidence and cooperation.

Researchers discovered that in games that require the logical justification of GPT-4, especially in the games that prioritize their interests. However, in those areas, he often struggled with tasks that require a short-term team work and coordination.

“In some cases, AI seemed almost very rational to his good,” said Dr. Eric Schulz is a great author of education. “It can immediately make a threat or selfish action and respond to revenge, but the trust fought to see a larger picture of cooperation and compromise.”

Teaching Social Thinking to AI

To promote more social warning behavior, researchers applied a straight approach: before making his decision, the research instructed the EU to consider the perspective of another player.

This technique, called the Social Chain (Scot), resulted in significant developments. With Scot, AI, more effective in achieving more co-operative, more adaptable and mutually beneficial results – even when interacting with real human players.

“Once the model is socially the reason for the fact, the more people will act in ways,” he said. “Interestingly, human participants often could not say that they played with an AI.”

Applications in health and patient care

The results of this study are better than the theory of the game. The findings are working on the groundwork for the development of more people in health parameters, especially in the health parameters, especially social cognition.

Mental health, chronic disease management and elderly care, effective support, effective support, not only accuracy, but also the ability to trust EU, social desires and development. It opens the way for a more social intelligent AI, modeling and cleansing social dynamics, research, health research and significant effects for human-aI interaction.

“An EU that can encourage a patient to stay in their medication, supporting anxiety or conversation about difficult choices.” This is where such an investigation is underway. “