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TikTok, a popular short video sharing application, emerged as the dominant social media platform for young people, with a pronounced influence on how young women and people of color interact online. The application has become a global space for youth to connect with each other, offering not only entertainment but also opportunities to engage with artificial intelligence/machine learning (AI/ML)-driven recommendations and create content using AI/M-powered tools, such as generative AI filters. This provides opportunities for youth to explore and question the inner workings of these systems, their implications, and even use them to advocate for causes they are passionate about. We present different perspectives on how youth may learn in personally meaningful ways when engaging with TikTok. We discuss how youth investigate how TikTok works (considering data and algorithms), take into account issues of ethics and algorithmic justice and use their understanding of the platform to advocate for change.

Generative artificial intelligence has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of the potential impacts of generative AI on (mis)information and three information-intensive domains: work, education, and healthcare. Our goal is to highlight how generative AI could worsen existing inequalities while illuminating how AI may help mitigate pervasive social problems. In the information domain, generative AI can democratize content creation and access, but may dramatically expand the production and proliferation of misinformation. In the workplace, it can boost productivity and create new jobs, but the benefits will likely be distributed unevenly. In education, it offers personalized learning, but may widen the digital divide. In healthcare, it might improve diagnostics and accessibility, but could deepen pre-existing inequalities. In each section we cover a specific topic, evaluate existing research, identify critical gaps, and recommend research directions, including explicit trade-offs that complicate the derivation of a priori hypotheses. We conclude with a section highlighting the role of policymaking to maximize generative AI's potential to reduce inequalities while mitigating its harmful effects. We discuss strengths and weaknesses of existing policy frameworks in the European Union, the United States, and the United Kingdom, observing that each fails to fully confront the socioeconomic challenges we have identified. We propose several concrete policies that could promote shared prosperity through the advancement of generative AI. This article emphasizes the need for interdisciplinary collaborations to understand and address the complex challenges of generative AI., Comment: PNAS Nexus, in press

In spring 2020, K–12 schools adopted remote learning amidst the Covid-19 pandemic. Using activity theory, the authors examine the educational response to this global health crisis in the United States and the United Kingdom. Data are drawn from three to four key news media publications in each country between 1 February and 31 May 2020. The authors critically examine the tensions and contradictions within and between interrelated systems (schooling, educational policy, home learning). They consider how remote digital pedagogy was perceived and enacted by different stakeholders: teachers, parents, policymakers. Tensions arose between digital pedagogy, system rules and teachers’ digital skills, leading to different experiences for students. The division of labour shifted; parental responsibility for managing their children’s learning increased. Digital equity issues prevailed in both countries (technology access, social support), disadvantaging students from low-income families. National educational policy system responses were more coordinated in the UK than in the US.

In spring 2020, K–12 schools adopted remote learning amidst the Covid-19 pandemic. Using activity theory, the authors examine the educational response to this global health crisis in the United States and the United Kingdom. Data are drawn from three to four key news media publications in each country between 1 February and 31 May 2020. The authors critically examine the tensions and contradictions within and between interrelated systems (schooling, educational policy, home learning). They consider how remote digital pedagogy was perceived and enacted by different stakeholders: teachers, parents, policymakers. Tensions arose between digital pedagogy, system rules and teachers’ digital skills, leading to different experiences for students. The division of labour shifted; parental responsibility for managing their children’s learning increased. Digital equity issues prevailed in both countries (technology access, social support), disadvantaging students from low-income families. National educational policy system responses were more coordinated in the UK than in the US.