CAREER: Emotion Artificial Intelligence in the Future of Work: A Privacy and Relational Ethics Lens

职业：未来工作中的情感人工智能：隐私和关系伦理视角

• 批准号: 2236674
• 负责人: Nazanin Andalibi
• 金额: $ 64.91万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-01 至 2028-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2236674&HistoricalAwards=false
• 关键词: CAREER; Emotion; Artificial; Intelligence; Future

Emotion artificial intelligence (AI) aims to infer people's emotions and mood in mundane and high-stakes contexts. Despite validity, bias, and privacy concerns, emotion AI continues to be developed and used in consequential ways, such as in employment interviews, without informed public input. We lack empirical knowledge about the benefits and harms it can inflict on people's privacy and lives. This project investigates emotion AI’s ethical and privacy implications in two high-stakes contexts--the workplace and hiring interviews. The project will describe how emotion AI is used and how people may be affected by it. The project has policy implications addressing this technology’s impact on workers and job seekers, and therefore the future of work. Additionally, this research leads to guidelines to be used by emotion AI creators and decision-makers, and improves public knowledge of emotion AI’s use and implications.This project investigates how emotion AI is perceived and experienced by job seekers and employees and how it is used by decision-makers who apply the inferences it generates. First, the project uses a mixed-methods approach including interviews using the story completion method and factorial vignette surveys. Participants in these studies include marginalized employees and job seekers at more risk of emotion AI harm. Second, the project includes interviews and an experiment with decision-makers to examine how emotion AI may be used by them. This research will contribute to emotion AI/AI ethics, privacy, future of work, and affective computing scholarship.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

情感人工智能（AI）旨在推断人们在平凡和高风险环境中的情绪和情绪。尽管存在有效性、偏见和隐私问题，但情感人工智能仍在继续以相应的方式开发和使用，例如在就业面试中，没有知情的公众意见。我们缺乏经验知识的好处和危害，它可以对人们的隐私和生活。该项目调查了情感AI在两个高风险环境中的道德和隐私影响-工作场所和招聘面试。该项目将描述如何使用情感人工智能以及人们如何受到它的影响。该项目具有政策意义，旨在解决这项技术对工人和求职者的影响，从而影响工作的未来。此外，该研究还为情感AI的开发者和决策者提供了指导，并提高了公众对情感AI的使用和影响的认识。该项目调查了求职者和员工如何感知和体验情感AI，以及决策者如何使用它来应用它产生的推论。首先，该项目采用混合方法，包括使用故事完成法和因子小插曲调查的访谈。这些研究的参与者包括边缘化的员工和求职者，他们更有可能受到情感AI的伤害。其次，该项目包括与决策者的访谈和实验，以研究他们如何使用情感AI。这项研究将有助于情感AI/AI伦理，隐私，工作的未来和情感计算奖学金。该奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。