CHS: Medium: Collaborative Research: Charting a Research Agenda in Artificial Intelligence-Mediated Communication

人工智能（AI）算法正日益增强人际沟通。过去的计算机中介沟通（CMC）越来越多地涉及人工智能中介沟通（AI-MC）：人际沟通不仅仅是由技术传播，而是由算法增强甚至产生，以实现特定的结果。虽然一些简单形式的AI-MC已经很普遍，但自然语言处理的最新进展为增强在线交流提供了新的方向，例如，修改文本以包含更正式的语言或修改简历以使其更专业。这些进步并不局限于文字：越来越多的照片和视频可以被人工智能自动操纵，导致深度造假，在这种情况下，人们会以他们从未做过的方式行事。事实上，如果沟通是中介的，人工智能可能会修改、增强甚至生成消息。因此，AI-MC可能会对我们的沟通方式产生深远的影响，使我们对技术介导的人类互动的理解大大复杂化。该项目将为开发以社会期望和道德负责的方式实施人工智能介导的通信的系统提供信息。该项目的技术目标是开发一个框架，描绘AI-MC将如何影响网络-人类系统研究，并为AI-MC技术的设计提供信息。该项目将提供AI-MC关键领域的一些初步研究：1)AI-MC系统的设计和感知；2) AI-MC对通信动态的潜在影响；3) AI-MC对网络自我呈现的社会心理动态的影响，重点是印象形成和信任，包括恶意语境；4)了解AI-MC技术中的偏见、操纵和透明度等问题的伦理问题和机会。这些目标将通过采用计算、行为和定性方法等一系列新颖的实证研究来实现。这些活动将包括在线和实验室实验，检查与各种形式的AI-MC相关的行为过程和结果，AI-MC研究平台的设计和开发，以及对使用AI-MC系统的开发人员、工程师和设计师进行定性研究。此外，该项目将利用公众对人工智能的关注和兴趣，为纽约市公立学校的K-12学生提供设计和技术研讨会，利用AI- mc将人工智能的想法与学生在日常生活中使用的技术联系起来。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Artificial Intelligence (AI) algorithms are increasingly augmenting interpersonal communication. What used to be Computer-Mediated Communication (CMC) increasingly involves AI-Mediated Communication (AI-MC): interpersonal communication not simply transmitted by technology but augmented --- or even generated --- by algorithms to achieve specific outcomes. While some simple forms of AI-MC are already prevalent, recent advances in Natural Language Processing provide new directions for augmenting communication online by, for example, modifying texts to include more formal language or enhancing resumes to make them more professional. The advances are not limited to text: increasingly, photos and videos can be automatically manipulated with AI, leading to deep fakes, in which people are shown to act or behave in ways that they never did. Indeed, if a communication is mediated, AI can potentially modify, augment, or even generate the message. AI-MC is therefore likely to have a profound effect on how we communicate, greatly complicating our understanding of technology-mediated human interactions. The project will inform the development of systems that implement AI-mediated communication in a socially desirable and ethically responsible manner. The technical objectives of this project are to develop a framework that charts how AI-MC will impact cyber-human systems research and inform the design of AI-MC technologies. The project will provide some of the first investigations in key areas of AI-MC: 1) the design and perception of AI-MC systems; 2) the potential impact of AI-MC on communication dynamics; 3) the impact of AI-MC on social-psychological dynamics of online self-presentation, with a focus on impression formation and trust, including malicious contexts; and 4) understanding ethical concerns and opportunities around issues like bias, manipulation, and transparency in AI-MC technologies. These objectives will be accomplished through a series of novel empirical studies employing approaches including computational, behavioral, and qualitative methods. These activities will include online and lab experiments that examine behavioral processes and outcomes associated with various forms of AI-MC, the design and development of an AI-MC research platform, as well as a qualitative study of developers, engineers, and designers working with AI-MC systems. In addition, this project will build on the public attention and intrigue around AI to offer design and technology workshops to K-12 students in New York City public schools, using AI-MC to connect the ideas of AI to technologies students use in their everyday lives.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.