Canada-UK AI 2019 : The self as agent-environment nexus - crossing disciplinary boundaries to help human selves and anticipate artificial selves

加拿大-英国人工智能 2019：自我作为主体与环境的联系 - 跨越学科界限帮助人类自我并预测人工自我

• 批准号: 548624-2019
• 负责人: Northoff, Georg
• 金额: $ 0.58万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=674600
• 关键词: Canada; UK; AI; 2019; self

Both human and artificial agents learn from and potentially change their environments, but also align and adapt to them. Examples abound, from humans unconsciously tapping feet to the rhythm of music to a cleaning robot keeping a house dust-free. In humans, however, brain-world alignment is also closely linked with mental features like perception or self and mental health disorders lead to profound disruptions in how one considers 'the self'.As AI agents acquire human and superhuman skill levels and Artificial General Intelligence looms closer, ethical considerations about how an agent will interact with its environment become paramount. What is it about an AI agent that will ensure it can co-exist peacefully in human society and transfer skills seamlessly from one setting to another?Let us consider a real-world example of an adolescent who is watching television (on their laptop) via a streaming service. Suppose that individual has displayed anti-social behaviours at school or in their home and suppose that he has streamed several violent movies on his laptop over the past few days. Should the recommender system of the streaming service suggest a 'movie that you might like' that, again, contains strong scenes of violence? Or should the recommender system suggest, instead, a documentary on polar bears? This example illustrates three open questions and challenges in AI research. First, how would the recommender system infer the state of the young man? Second, how would a recommender system adapt its recommendations based upon this state, particularly given that the system itself has its own internal goals- i.e. to motivate people to consume more content? And third, is it ethical to probe the human at the human-computer interface in the first place?The current proposal aims to converge both "free energy" and "dynamic temporo-spatial" approaches to mental features to develop a mathematical and computational framework for environmental alignment and adaptation of intelligent agents.The primary, direct goal of this approach is to help human agents suffering from abnormal changes in their perception and self, as in psychiatric conditions like schizophrenia. This not only carries major ethical implications for understanding of ourselves, but will also inform the second, broader, aim of this project: paving the way for an understanding and mathematical theory of artificial selves.

人类和人造的代理商都学习并有可能改变其环境，同时也适应它们。例子比比皆是，从人类无意识的脚步到音乐的节奏到清洁机器人，使房屋无尘。然而，在人类中，脑世界的对齐也与精神特征（如感知，自我和心理健康障碍）紧密相关，导致对人如何看待“自我”的方式严重破坏。当时AI代理人获得了人类和超人的技能水平，人工通用智力范围和人为的一般智力隐约可见，旨在与环境相互作用的道德考虑，对环境的互动将变得具有最大的作用。 AI代理将确保它可以在人类社会中和平共存，并从一种环境中无缝转移技能的情况是什么？让我们考虑一个通过流媒体服务观看电视（在笔记本电脑上）的青少年的现实典范。假设个人在学校或家里表现出反社会行为，并假设他过去几天在笔记本电脑上播放了几部暴力电影。流媒体服务的推荐系统是否应该暗示“您可能喜欢的电影”，再次包含强烈的暴力场面？还是推荐系统应该暗示有关北极熊的纪录片？此示例说明了AI研究中的三个空缺问题和挑战。首先，推荐系统将如何推断年轻人的状态？其次，推荐系统将如何根据该状态调整其建议，特别是考虑到系统本身具有自己的内部目标 - 即激励人们消耗更多内容？第三，首先要在人类计算机的界面上探究人的道德吗？目前的提议旨在融合“自由能”和“动态的暂时性空间”方法，以开发数学和计算框架，以发展数学和计算框架，以使环境和计算框架对智能局势的态度和适应性的适应性。像精神分裂症一样。这不仅具有对自己的理解具有重大的道德意义，而且还将为该项目的第二，更广泛，更广泛的目的提供信息：为人造自我的理解和数学理论铺平道路。