Artificially intelligent chatbot, such as ChatGPT, represents a recent and
powerful advancement in the AI domain. Users prefer them for obtaining quick
and precise answers, avoiding the usual hassle of clicking through multiple
links in traditional searches. ChatGPT's conversational approach makes it
comfortable and accessible for finding answers quickly and in an organized
manner. However, it is important to note that these chatbots have limitations,
especially in terms of providing accurate answers as well as ethical concerns.
In this study, we explore various scenarios involving ChatGPT's ethical
implications within academic contexts, its limitations, and the potential
misuse by specific user groups. To address these challenges, we propose
architectural solutions aimed at preventing inappropriate use and promoting
responsible AI interactions.

在这项研究中，我们探讨了 ChatGPT 在学术背景下的伦理影响、其局限性和特定用户群体可能的滥用情况，并提出了旨在防止不当使用和促进负责任的 AI 交互的架构解决方案。

人工智能对话聊天机器人的关键作用

Critical Role of Artificially Intelligent Conversational Chatbot

We introduce a theorem proving algorithm that uses practically no domain
heuristics for guiding its connection-style proof search. Instead, it runs many
Monte-Carlo simulations guided by reinforcement learning from previous proof
attempts. We produce several versions of the prover, parameterized by different
learning and guiding algorithms. The strongest version of the system is trained
on a large corpus of mathematical problems and evaluated on previously unseen
problems. The trained system solves within the same number of inferences over
40% more problems than a baseline prover, which is an unusually high
improvement in this hard AI domain. To our knowledge this is the first time
reinforcement learning has been convincingly applied to solving general
mathematical problems on a large scale.

提出了一种定理证明算法，该算法使用几乎没有领域启发式来指导其连接风格的证明搜索，而是运行许多蒙特卡罗模拟，通过强化学习来指导以前的证明尝试。