Towards Healthy AI: Large Language Models Need Therapists Too
- URL: http://arxiv.org/abs/2304.00416v1
- Date: Sun, 2 Apr 2023 00:39:12 GMT
- Title: Towards Healthy AI: Large Language Models Need Therapists Too
- Authors: Baihan Lin, Djallel Bouneffouf, Guillermo Cecchi, Kush R. Varshney
- Abstract summary: We define Healthy AI to be safe, trustworthy and ethical.
We present the SafeguardGPT framework that uses psychotherapy to correct for these harmful behaviors.
- Score: 41.86344997530743
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Recent advances in large language models (LLMs) have led to the development
of powerful AI chatbots capable of engaging in natural and human-like
conversations. However, these chatbots can be potentially harmful, exhibiting
manipulative, gaslighting, and narcissistic behaviors. We define Healthy AI to
be safe, trustworthy and ethical. To create healthy AI systems, we present the
SafeguardGPT framework that uses psychotherapy to correct for these harmful
behaviors in AI chatbots. The framework involves four types of AI agents: a
Chatbot, a "User," a "Therapist," and a "Critic." We demonstrate the
effectiveness of SafeguardGPT through a working example of simulating a social
conversation. Our results show that the framework can improve the quality of
conversations between AI chatbots and humans. Although there are still several
challenges and directions to be addressed in the future, SafeguardGPT provides
a promising approach to improving the alignment between AI chatbots and human
values. By incorporating psychotherapy and reinforcement learning techniques,
the framework enables AI chatbots to learn and adapt to human preferences and
values in a safe and ethical way, contributing to the development of a more
human-centric and responsible AI.
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