人工智能应用价值评估模型
Modelos dinâmicos aplicados à aprendizagem de valores em inteligência artificial
摘要：
人工智能（AI）开发专家预测，智能系统和智能体的发展将重塑我们社会的重要领域。然而，如果这种进步不是谨慎和批判性的，条件反射性的，它可能会给人类带来负面的结果。出于这个原因，该领域的一些研究人员已经开发出一种强大，有益和安全的人工智能概念，以保护人类和环境。目前，人工智能研究领域的几个开放性问题来自于避免智能代理和系统的不必要行为的困难，同时指定我们真正想要这样的系统做什么，特别是当我们寻找智能代理长期在多个领域发挥作用的可能性时。最重要的是，人工智能代理人的价值观与人类价值观保持一致，因为我们不能仅仅因为人工智能的智能而期望人工智能发展人类的道德价值观，正如在《人性论》中所讨论的那样。也许这个困难来自于我们使用表征认知方法来解决表达目标、价值和目的的问题。这个问题的解决方案是德雷福斯提出的动态方法，他的现象学哲学表明，人类在世界上的经验在几个方面并没有很好地由符号或连接主义认知方法表示，特别是在学习价值观的问题上。解决这个问题的一种可能方法是使用理论模型，如SED（情境体现动力学）来解决人工智能中的价值观学习问题。
英文摘要：
Experts in Artificial Intelligence (AI) development predict that advances in the development of intelligent systems and agents will reshape vital areas in our society. Nevertheless, if such an advance is not made prudently and critically, reflexively, it can result in negative outcomes for humanity. For this reason, several researchers in the area have developed a robust, beneficial, and safe concept of AI for the preservation of humanity and the environment. Currently, several of the open problems in the field of AI research arise from the difficulty of avoiding unwanted behaviors of intelligent agents and systems, and at the same time specifying what we really want such systems to do, especially when we look for the possibility of intelligent agents acting in several domains over the long term. It is of utmost importance that artificial intelligent agents have their values aligned with human values, given the fact that we cannot expect an AI to develop human moral values simply because of its intelligence, as discussed in the Orthogonality Thesis. Perhaps this difficulty comes from the way we are addressing the problem of expressing objectives, values, and ends, using representational cognitive methods. A solution to this problem would be the dynamic approach proposed by Dreyfus, whose phenomenological philosophy shows that the human experience of being-in-the-world in several aspects is not well represented by the symbolic or connectionist cognitive method, especially in regards to the question of learning values. A possible approach to this problem would be to use theoretical models such as SED (situated embodied dynamics) to address the values learning problem in AI.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
