arXiv:2606.04867v1 Announce Type: new Abstract: As AI companion platforms such as Replika and Character.AI rapidly grow, concerns about unsafe human-AI interactions have intensified. This study introduces AICompanionBench, to our knowledge the first publicly available benchmark dataset of human-AI companion conversations annotated with fine-grained safety risk categories. The dataset contains 2,123 real-world Replika conversations collected from Reddit and annotated through human-AI collaboration across nine categories: sexual behavior, antisocial behavior, physical aggression, verbal aggressi
The rapid growth of AI companion platforms and intensifying concerns about unsafe interactions necessitate immediate methods to evaluate and ensure their safety. This benchmark emerges as AI companions transition from niche tools to widespread consumer applications.
This benchmark provides the first standardized method to evaluate the safety of AI companions, which is critical for their responsible development, public acceptance, and regulatory oversight.
The availability of AICompanionBench allows developers and researchers to systematically test and compare the safety performance of large language models acting as AI companions, shifting safety from anecdotal concerns to data-driven assessment.
- · AI companion developers prioritizing safety
- · AI safety researchers
- · Regulators and policymakers
- · Users of AI companion platforms
- · AI companion platforms with lax safety protocols
- · Developers ignoring ethical AI development
AI companion platforms will begin to integrate AICompanionBench into their development cycles for robust safety testing.
Public discussion and regulatory focus on AI companion safety will intensify, potentially leading to industry standards or certifications.
The development of 'safety-oriented' large language models specifically designed for companion roles, distinct from general-purpose LLMs, might accelerate.
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Read at arXiv cs.AI