Human-Centered Artificial Social Intelligence (HC-ASI)

TL;DR

This paper introduces a comprehensive framework for Human-Centered Artificial Social Intelligence (HC-ASI), integrating technical, human factors, and ethical considerations to advance socially intelligent AI systems across various domains.

Contribution

It presents a novel framework based on the THE Triangle, combining theoretical foundations, practical evaluation methods, and design principles for HC-ASI development.

Findings

Framework effectively integrates technical benchmarks with human-centered assessments.

Case studies demonstrate HC-ASI applications in healthcare, companionship, education, and customer service.

Identifies key challenges and future directions for HC-ASI ecosystems.

Abstract

As artificial intelligence systems become increasingly integrated into human social contexts, Artificial Social Intelligence (ASI) has emerged as a critical capability that enables AI to perceive, understand, and engage meaningfully in complex human social interactions. This chapter introduces a comprehensive framework for Human-Centered Artificial Social Intelligence (HC-ASI), built upon the Technology-Human Factors-Ethics (THE) Triangle, which systematically addresses both technical foundations and human-centered design principles necessary for developing socially intelligent AI systems. This chapter provides a comprehensive overview of current ASI research. This chapter begins by establishing the theoretical foundations of ASI, tracing its evolution from classical psychological theories of human social intelligence to contemporary computational models, then examines the mechanisms underlying human-AI social interaction with particular emphasis on establishing shared social understanding and appropriate role positioning. The chapter further explores ASI's practical implications for individuals and groups through comprehensive evaluation frameworks that combine technical benchmarks with human-centered experiential assessments, demonstrating real-world applications through detailed case studies spanning healthcare, companionship, education, and customer service domains. Building on the overview and the framework of HC -ASI, this chapter articulates core HC-ASI design principles and translates them into actionable methodologies and implementation guidelines that provide practical guidance for researchers and practitioners. This chapter concludes with a critical discussion of current challenges and promising directions for developing comprehensive HC-ASI ecosystems.