分布式道德机制:人工智能体道德建模的新策略
Distributed Moral Mechanism:A New Strategy to Moral Modeling of Artificial Intelligence Agents
程海东 1胡孝聪 1陈凡1
作者信息
摘要
人工智能体道德建模的目的是让它们在道德实践中与人类和其他智能体更好地相处.目前主要有四种建模策略:隐式、自上而下式、自下而上式和混合式.但是这些策略存在技术层面的困境,如设计范式、道德转译和算法黑箱等问题,并且在社会层面上也难以应对伦理对齐的困境.这是因为现行策略认为人工智能体在道德实践中发挥着线性作用,能够独立实现某种外在的道德规范,从而将人工智能体从实践中隔离出来.采用分布式道德机制来实现人工智能体道德建模,将人工智能体置于多智能体系统中,可以在人与人工智能体的交互式道德实践中形成开放、包容的道德规范和分配式道德责任.这种机制不仅能够消解现行策略的困境,还能够促进人工智能体与人类之间形成道德共生关系.
Abstract
The purpose of moral modeling for artificial agents is to enable them to interact better with humans and other artificial agents in moral practices.Currently,there are four main modeling strategies:implicit,top-down,bottom-up,and hybrid.However,these strategies face technical challenges such as design patterns,moral translation,and algorithmic black box,as well as ethical alignment challenges at the social level.This is because the current strategies assume that artificial agents play a linear role in moral practices and can independently achieve some external moral norm,thus isolating artificial agents from practice.By using distributed moral mechanisms to achieve moral modeling for artificial agents,placing artificial agents in a multi-agent system can form an open and inclusive moral norm and distributed moral responsibility in interactive ethical practices between humans and artificial agents.This mechanism can not only alleviate the current difficulties of the existing strategies but also promote a moral symbiotic relationship between artificial agents and humans.
关键词
人工智能体/道德建模/技术困境/伦理对齐困境/分布式道德机制Key words
artificial agents/moral modeling/technical challenge/ethical alignment challenge/distributed moral mechanisms引用本文复制引用
基金项目
2022年度国家社科基金一般项目(22BZX026)
出版年
2024
NETL
NSTL
维普
万方数据