Collaborative Research: HCC: Medium: Collaborative Upstanding: Leveraging Conversational AI to Cultivate Constructive Upstanders Among Teens

该项目利用人工智能（AI）引导青少年站出来反对社交媒体上的欺凌行为。该方法鼓励青少年以安全有效的方式这样做。青少年在社交媒体上的网络欺凌率令人担忧，网络欺凌的潜在后果可能是有害的。旁观者的亲社会行为可以在打击网络欺凌中发挥关键作用。这些行为可能包括面对欺凌者或安慰受害者。相反，旁观者的不作为和沉默会让不良行为者感到不那么压抑，并可能导致社交媒体上越来越多的攻击性的恶性循环。该项目利用最新的人工智能技术，旨在实现人类与人工智能的协作。这些人工智能技术可能包括聊天GPT-3、人工智能链和其他方法。利用这些人工智能技术，该项目将提供个性化和移情指导，并导致青少年使用社交媒体的亲社会旁观者行为的发展。研究人员将首先进行实证研究，以确定成功的合作策略。这些策略将使青少年互相鼓励，站起来反对网络欺凌。调查人员还将找出青少年在这一过程中可能失败的原因。接下来，研究人员将创建一组人工智能会话代理，并实施确定的成功会话策略。开发的系统将经历一个迭代原型设计过程。然后，研究人员将对原型机进行评估和改进。最后，研究人员将部署和测试性能最好的会话人工智能系统。该项目将通过社交媒体TestDrive对年轻人进行对话式人工智能测试。这是美国超过80万青少年和教育工作者使用的在线学习平台。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。

This project uses artificial intelligence (AI) to guide adolescents to stand up against bullying in social media. The approach encourages teens to do this in a safe and effective manner. The rate of cyberbullying in social media among teens is worrisome, and the potential consequences of cyberbullying can be detrimental. The prosocial behaviors of bystanders can play a critical role in combating cyberbullying. Such behaviors may include confronting the bully or comforting the victim. Reversely, bystanders’ inaction and silence allow bad actors to feel less inhibited and may result in a downward spiral of increasing aggression on social media. Using the latest AI technologies, the project aims to achieve human-AI collaborative upstanding. These AI technologies may include Chat GPT-3, AI chaining, and other approaches. Using these AI technologies, the project will provide personalized and empathetic guidance and result in the development of prosocial bystander behaviors by teens using social media.The investigators will first conduct empirical studies to identify successful collaborative upstanding strategies. These strategies will enable teens to encourage each other to stand up against bullies online. Investigators will also identify ways teens may fail in this process. Next, investigators will create a set of AI conversational agents and implement the identified successful conversational strategies. The system developed will go through an iterative prototype design process. Then investigators will perform an evaluation and improvement process to the prototype. Finally, the investigators will deploy and test the best performing conversational AI system. The project will test with youth the conversational AI using Social Media TestDrive. This is an online learning platform used by over 800,000 teens and educators in the United States.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.