青少年和年轻人对生成式AI的看法：使用模式、兴奋点和担忧

Patterns of use, excitements, and concerns Table of Contents Introduction3Summary of Methodology4Key Findings5Generative AI Use12Reasons for Using Generative AI14Reasons for Not Using Generative AI16Perceptions of the Future of Generative AI18Excitements about Generative AI21Concerns about Generative AI23What Teens Say Adults Should Know About Their Uses of AI25Conclusion30Appendix34 Introduction Generative artificial intelligence (AI)1has quicklybecome an integral part of the digital landscape,shaping how individuals interact with technologyand creating new opportunities for creativity andinnovation. At the same time, generative AI bringsreal and unknown risks, including those relatedto privacy, equity, and accuracy. Of particularimportance is its influence on young people, whonot only serve as early adopters and influencers inthe digital realm but also stand at the forefront ofgrappling with its implications of how different demographic groups currently per-ceive and interact with generative AI technology Findings in this report primarily come from a larg-er national survey of digital technology and youthmental health4(Common Sense Media & Hopelab,2024). This study centered young people in thecreation of survey topics and questions, as well asthe interpretation of results. The questions in theAppendix, including content and specific wording,were developed through interviews, focus groups,and item testing with young people Understanding young people’s perspectives ongenerative AI is paramount, especially consideringongoing apprehensions about the effects of digitaltechnologies on youth mental health2As gener-ative AI becomes more integrated into daily lifeacross different domains, including jobs, schools,and social interactions, there is a need to delvedeeper into its use among young people to guidepractice and policy-making decisions and foster amore informed dialogue on its utilization. By ex-amining their reasons for using or not using gen-erative AI tools, we can uncover underlying motiva-tions and concerns influencing youth engagementwith this technology. Moreover, analyzing gen-erative AI use by race/ethnicity, age, gender, andLGBTQ+ identity3allows a nuanced understanding This report examines differences in experiencesand perceptions of generative AI across racial andethnic groups, between teens (ages 14-17) andyoung adults (ages 18-22), and across LGBTQ+and gender identities. We also utilized open-endedquestions to provide more detailed context aboutgenerative AI use, concerns, and excitement amongyoung people. Additionally, since teens’ use of AI5might be more heavily monitored or influenced byparents and other adults, we included data froma separate survey (Center for Digital Thriving &Common Sense Media, forthcoming) that con-tained an open-ended question asking teens (ages13-17) to describe one thing they wanted adultsto know about how teens use AI. Summary ofMethodology •Differences between subgroups were tested forstatistical significance at thep<05 level •Quantitative data was part of a nationally rep-resentative survey of 1,274 U.S.-based teens andyoung adults ages 14-22 collected from Octoberto November 2023 •The survey of 1,274 teens and young adults in -cluded two open-ended questions for respon -dents to share personal perspectives on thefuture of AI •In the report, “teens” refers to those ages 17 andyounger, “young adults” refers to those ages 18-22, and “youth” or “young people” refers to theentire sample. The term “boy” or “girl” is used forthose under age 17. The term “man” or “woman”is used for those ages 18-22. •An additional open-ended question was includedfrom a separate survey of 1,545 U.S.-based teens(ages 13-17), with an oversampling for Black andLGBTQ+ young people, that asked about onething adults should know about how teens use AI. •Data collection was conducted by the NORC atthe University of Chicago using their probabili-ty-based panel as well as online opt-in panels tooversample for those who were LGBTQ+, Black,and Latinx. •The sample of 1,545 teens were reached throughtheir parents via the SSRS Opinion Panel andnon-probability panels between October andNovember 2023 •The margin of sampling error is +/- 5.9 percent-age points, including the design effect for thewhole sample •Quotes are directly from young people, buthave been lightly edited to correct misspellings,punctuation, capitalization, and typos. •Data was analyzed by race/ethnicity, LGBTQ+identity, gender, and age. •For additional details, please see the Methodologysection of our previous report6 Key Findings KEY FINDING 1: Half (51%) of young peopleages 14-22 have used generativeAI at some point in their lives; however,only 4%report beingdaily users While half (51%) of young people have used genera-tive AI, 8% report not knowing what generative AItools areThe percentage of those who have everused generative AI is similar across race/ethnicity, LGBTQ+ identity, gender, and age. Black and