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作 者:喻丰 Yu Feng
机构地区:[1]武汉大学哲学学院
出 处:《国家治理》2022年第7期26-30,共5页Governance
基 金:国家社科基金项目“拟人化人工智能的道德责任归因研究”(项目编号:20CZX059)阶段性成果。
摘 要:对于科技伦理治理来说,最简单直接的方式就是制定规则。但现有的无论是国家政府还是组织机构等制定的规条均还不具有普适性,同时,缺乏对“知行合一”的有效约束是“规条式”治理的突出问题。今后进一步充实科技伦理治理,首先要认清人工智能伦理考察的是人工智能和人之间的关系规律,而面向人的人工智能应该考虑普通人是如何看待人工智慧并进行交互的。此外,将人类抽象道德规范转化为具体的规则,即帮助科技“习得脚本、锻造美德”,是科技伦理治理的另一方面。The simplest and most direct way for governance over ethics in science and technology is to make rules.However,the existing rules and regulations made by the central government and organizations are not yet universally applicable.Meanwhile,the lack of effective constraints to achieve"unity of knowledge and action"is a prominent problem of"rule-based"governance.To further enrich the governance over ethics in science and technology in the future,we should first recognize that the ethics of artificial intelligence examines the relationship between artificial intelligence and human beings,and that human-oriented artificial intelligence should consider how ordinary people view and interact with artificial intelligence.In addition,translating abstract moral norms of humans into concrete rules,i.e.,helping technology"acquire human virtues,"is another aspect of governance over ethics in science and technology.
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