TUM School of Governance, TU Munich, Richard-Wagner-Straße 1, 80333, Munich, Germany.
Bavarian Institute for Digital Transformation, TU Munich, Gabelsbergerstr. 4, 80333, Munich, Germany.
Sci Eng Ethics. 2022 Apr 4;28(2):19. doi: 10.1007/s11948-022-00372-7.
The transfer of tasks with sometimes far-reaching implications to autonomous systems raises a number of ethical questions. In addition to fundamental questions about the moral agency of these systems, behavioral issues arise. We investigate the empirically accessible question of whether the imposition of harm by an agent is systematically judged differently when the agent is artificial and not human. The results of a laboratory experiment suggest that decision-makers can actually avoid punishment more easily by delegating to machines than by delegating to other people. Our results imply that the availability of artificial agents could provide stronger incentives for decision-makers to delegate sensitive decisions.
任务转移有时会对自主系统产生深远的影响，这引发了一系列伦理问题。除了这些系统道德代理的基本问题外，还出现了行为问题。我们研究了一个可以通过经验获得的问题，即在代理人是人工的而不是人类的情况下，代理人施加伤害是否会被系统地判断为不同。实验室实验的结果表明，决策者通过将决策委托给机器而不是其他人，实际上可以更容易地避免受到惩罚。我们的结果表明，人工代理的可用性可能为决策者提供更强的激励，使其将敏感决策委托出去。
