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

CHS：媒介：协作研究：制定人工智能介导的沟通研究议程

• 批准号: 1901151
• 负责人: Mor Naaman
• 金额: $ 80.01万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1901151&HistoricalAwards=false
• 关键词: CHS; Medium; Collaborative; Research; Charting

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.

人工智能（AI）算法正在越来越多地增加人际关系的交流。曾经是计算机介导的通信（CMC）越来越涉及AI介导的通信（AI-MC）：人际关系通信不仅是由技术传输的，而且还通过算法增强（甚至是通过算法生成）来实现特定结果。尽管一些简单的AI-MC形式已经很普遍，但自然语言处理的最新进展为例如修改文本以包括更多正式语言或增强简历以使其更专业的新文本提供了新的方向来在线增强通信。进步不仅限于文本：越来越多的照片和视频可以通过AI自动操纵，从而导致深层假货，其中人们表现出人们以从未做过的方式行事或行为。实际上，如果传达通信，AI可以可能修改，增强甚至生成消息。因此，AI-MC可能会对我们进行交流的方式产生深远的影响，从而使我们对技术介导的人类互动的理解变得更加复杂。该项目将告知以社会可取和具有道德责任的方式实施AI介导的通信的系统的开发。 该项目的技术目标是开发一个框架，该框架列出了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。该项目将在AI-MC的关键领域提供一些首次研究：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对在线自我表现的社会心理动态的影响，重点是印象形成和信任，包括恶意背景； 4）了解AI-MC技术中偏见，操纵和透明度等问题的道德问题和机会。这些目标将通过一系列新的实证研究来实现，采用包括计算，行为和定性方法在内的方法。这些活动将包括在线和实验室实验，这些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 Systems工作的开发人员，工程师和设计师的定性研究。 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.

项目成果

Methodological Middle Spaces: Addressing the Need for Methodological Innovation to Achieve Simultaneous Realism, Control, and Scalability in Experimental Studies of AI-Mediated Communication

方法论的中间空间：满足方法论创新的需求，以在人工智能介导的通信的实验研究中同时实现现实性、控制性和可扩展性

• DOI: 10.1145/3579506
• 发表时间: 2023
• 期刊: Proceedings of the ACM on Human-Computer Interaction
• 作者: Aghajari, Zhila;Baumer, Eric P.;Hohenstein, Jess;Jung, Malte F.;DiFranzo, Dominic
• 通讯作者: DiFranzo, Dominic

The Social Impact of Deepfakes

• DOI: 10.1089/cyber.2021.29208.jth
• 发表时间: 2021-03-01
• 期刊: CYBERPSYCHOLOGY BEHAVIOR AND SOCIAL NETWORKING
• 影响因子: 6.6
• 作者: Hancock, Jeffrey T.;Bailenson, Jeremy N.
• 通讯作者: Bailenson, Jeremy N.

AI Writing Assistants Influence Topic Choice in Self-Presentation

• DOI: 10.1145/3544549.3585893
• 发表时间: 2023-04
• 期刊: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
• 作者: Ritika Poddar;R. Sinha;Mor Naaman;Maurice Jakesch

Computer Vision and Conflicting Values: Describing People with Automated Alt Text.

计算机视觉和冲突的价值观：用自动替代文本描述人。

• DOI: 10.1145/3461702.3462620
• 发表时间: 2021
• 期刊: and Society (AIES
• 作者: Hanley, M.

AI as a moral crumple zone: The effects of AI-mediated communication on attribution and trust

• DOI: 10.1016/j.chb.2019.106190
• 发表时间: 2020-05-01
• 期刊: COMPUTERS IN HUMAN BEHAVIOR
• 影响因子: 9.9
• 作者: Hohenstein, Jess;Jung, Malte
• 通讯作者: Jung, Malte