A Person-Centred Approach to Understanding Trust in Moral Machines

以人为本的方法来理解道德机器的信任

• 批准号: EP/Y00440X/1
• 负责人: Jim Everett
• 金额: $ 184.46万
• 依托单位: University of Kent
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FY00440X%2F1
• 关键词: Person; Centred; Approach; Understanding; Trust

Artificial intelligence (AI) is increasingly used to perform tasks with a moral dimension, such as prioritisingscarce medical resources. Debates rage about the ethical issues of AI, how we should programme ethical AI,and which ethical values we need to prioritize. But machine morality is as much about human moralpsychology as it is about the philosophical and practical issues of building artificial agents. To reap thebenefits of AI, stakeholders need to be willing to use, adopt, and rely on these systems: they must trust in theAI agents.TRUST-AI draws on psychology and philosophy to explore how and when humans trust AI agents that act as'moral machines'. Drawing from classic models of trust and recent theoretical work from moral psychology onthe complexity of trust in the moral domain, this five-year project explores 1) The characteristics of AI agentsthat predict trust; 2) the individual differences that make us more or less likely to trust AI agents; 3) thesituations where we are more likely to 'outsource' moral decisions to AI agents; and 4) how these findingsshould be used to design AI agents that warrant our trust.My approach is methodologically pluralistic and includes qualitative analysis and natural language processing,behavioural economic games, and in-person behavioural experiments. I develop a customised data collectionplatform that will run online experiments globally in at least 3 different languages, as well as cross-culturalstudies in 9 different countries and a range of experiments with an estimated 29,000 participants across fourwork programmes and 20 studies.These findings will help us understand the how, when, and why people trust AI agents with importanttheoretical and methodological implications for research on the antecedents and consequences of trust in moralmachines.

人工智能 (AI) 越来越多地用于执行具有道德维度的任务，例如优先考虑稀缺的医疗资源。关于人工智能的道德问题、我们应该如何对道德人工智能进行编程，以及我们需要优先考虑哪些道德价值观，争论非常激烈。但机器道德既涉及人类道德心理学，也涉及构建人工智能体的哲学和实践问题。为了获得人工智能的好处，利益相关者需要愿意使用、采用和依赖这些系统：他们必须信任人工智能代理。TRUST-AI 利用心理学和哲学来探索人类如何以及何时信任充当“人工智能代理”的人。道德机器”。这个为期五年的项目借鉴了经典的信任模型和近期道德心理学关于道德领域信任复杂性的理论工作，探讨了：1）预测信任的人工智能代理的特征； 2）个体差异使我们或多或少信任人工智能代理； 3）我们更有可能将道德决策“外包”给人工智能代理的情况； 4）如何利用这些发现来设计值得我们信任的人工智能代理。我的方法在方法论上是多元化的，包括定性分析和自然语言处理、行为经济博弈和面对面的行为实验。我开发了一个定制的数据收集平台，该平台将在全球范围内以至少 3 种不同的语言进行在线实验，以及在 9 个不同国家进行跨文化研究，并在四个工作计划和 20 项研究中进行一系列实验，预计有 29,000 名参与者。这些发现将有助于我们了解人们如何、何时以及为何信任人工智能代理，这对于研究道德机器信任的前因和后果具有重要的理论和方法论意义。