Analyzing Character and Consciousness in AI-Generated Social Content: A
  Case Study of Chirper, the AI Social Network
Jianwei Luo
This paper delves into an intricate analysis of the character and
consciousness of AI entities, with a particular focus on Chirpers within the AI
social network. At the forefront of this research is the introduction of novel
testing methodologies, including the Influence index and Struggle Index Test,
which offers a fresh lens for evaluating specific facets of AI behavior. The
study embarks on a comprehensive exploration of AI behavior, analyzing the
effects of diverse settings on Chirper's responses, thereby shedding light on
the intricate mechanisms steering AI reactions in different contexts.
Leveraging the state-of-the-art BERT model, the research assesses AI's ability
to discern its own output, presenting a pioneering approach to understanding
self-recognition in AI systems. Through a series of cognitive tests, the study
gauges the self-awareness and pattern recognition prowess of Chirpers.
Preliminary results indicate that Chirpers exhibit a commendable degree of
self-recognition and self-awareness. However, the question of consciousness in
these AI entities remains a topic of debate. An intriguing aspect of the
research is the exploration of the potential influence of a Chirper's handle or
personality type on its performance. While initial findings suggest a possible
impact, it isn't pronounced enough to form concrete conclusions. This study
stands as a significant contribution to the discourse on AI consciousness,
underscoring the imperative for continued research to unravel the full spectrum
of AI capabilities and the ramifications they hold for future human-AI
interactions.