“价值对齐”还是“理由对齐”?人工智能伦理设计的元伦理学反思

“Value Alignment” or “Reason Alignment”?A Meta-Ethical Analysis of Ethical Design in Artificial Intelligence

  • 摘要: “价值对齐”被视为人工智能伦理治理的重要方案,该方案蕴含着一种信念,即在对齐了人类价值的情况下,人工智能所做出的行为抉择就会符合人类有关“正确”行为的标准。坚持“正确”可以依赖于“价值”的元伦理学立场,面对着诸多理论困境,如无法对价值给出可分析的解释,难以在道德判断中容纳义务,无法对行为本身的价值给出论证等,以上理论难题直接导致了当代人工智能”价值对齐“面对的现实困境。元伦理学中的另一种立场以“正确”来解释“价值”,进而又通过“理由”来解释“正确”。该方案为价值提供了一种可分析的解释,在道德考量中以简明的方式平衡了后果和义务;揭示了原则在实践推理中发挥作用的方式,有效避免了以“价值”指示“正确”的那类理论所面对的困难。人工智能伦理设计中已存在多种形式的“对齐”人类“理由”的尝试,这类尝试有助于探究促使人工智能系统做出正确行为的根本因素,同时澄清了“价值”在人工智能道德推理中发挥作用的方式。

     

    Abstract: “Value alignment” is a significant approach for the ethical governance of artificial intelligence. This approach holds a belief that when artificial intelligence aligns with human values, the behavioral choices it makes will conform to the standards of “right”. The meta-ethical stance that upholds “rightness” judgments as dependent on “value” judgments has been controversial in ethical studies since the beginning of the 20th century. The theoretical predicaments it faces, such as the inability to provide an analyzable explanation of values, the difficulty in accommodating duties within moral judgments, and the incapacity to justify the value of actions, are precisely the roots of the main practical challenges that artificial intelligence value alignment encounters. The opposite stance in meta-ethics, explains “value” through “rightness” and then “rightness” by “reasons”. This approach offers an analyzable explanation of values, balancing consequences and duties in moral considerations in a straightforward manner. It reveals the way moral principles works in practical reasoning and effectively resolves the difficulties faced by theories that indicate “rightness” by “value”. There have been various attempts to “align” the “reasons” of human being in the ethical design of artificial intelligence. Such attempts help to explore the fundamental factors that prompt artificial intelligence systems to act correctly, while clarifying the way “values” plays in moral reasoning.

     

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