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   Organoid Intelligence ushers in a new era by seamlessly integrating cutting-edge organoid technology with the power of artificial intelligence. Organoids, three-dimensional miniature organ-like structures cultivated from stem cells, offer an unparalleled opportunity to simulate complex human organ systems in vitro. Through the convergence of organoid technology and AI, researchers gain the means to accelerate discoveries and insights across various disciplines. Artificial intelligence algorithms enable the comprehensive analysis of intricate organoid behaviors, intricate cellular interactions, and dynamic responses to stimuli. This synergy empowers the development of predictive models, precise disease simulations, and personalized medicine approaches, revolutionizing our understanding of human development, disease mechanisms, and therapeutic interventions. Organoid Intelligence holds the promise of reshaping how we perceive in vitro modeling, propelling us toward a future where these advanced systems play a pivotal role in biomedical research and drug development. 

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2. In the Black Mirror: Youth Investigations Into Artificial Intelligence: In the Black MirrorYouth Investigations Into Artificial Intelligence

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   Over the past two decades, innovations powered by artificial intelligence (AI) have extended into nearly all facets of human experience. Our ethnographic research suggests that while young people sense they can't “trust” AI, many are not sure how it works or how much control they have over its growing role in their lives. In this study, we attempt to answer the following questions: 1) What can we learn about young people's understandings of AI when they produce media with and about it? 2) What are the design features of an ethics-centered pedagogy that promotes STEM engagement via AI? To answer these questions, we co-developed and documented three projects at YR Media, a national network of youth journalists and artists who create multimedia for public distribution. Participants are predominantly youth of color and those contending with economic and other barriers to full participation in STEM fields. Findings showed that by creating a learning ecology that centered the cultures and experiences of its learners while leveraging familiar tools for critical analysis, youth deepened their understanding of AI. Our study also showed that providing opportunities for youth to produce ethics-centered Interactive stories interrogating invisibilized AI functionalities, and to release those stories to the public, empowered them to creatively express their understandings and apprehensions about AI. 

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   Researchers of team behavior have long been interested in the essential components of effective teamwork. Much existing research focuses on examining correlations between team member traits, team processes, and team outcomes, such as collective intelligence or team performance. However, these approaches are insufficient for providing insight into the dynamic, causal mechanisms through which the components of teamwork interact with one another and impact the emergence of team outcomes. Advances in the field of animal behavior have enabled a precise understanding of the behavioral mechanisms that enable groups to perform feats that surpass the capabilities of the individuals that comprise them. In this manuscript, we highlight how studies of animal swarm intelligence can inform research on collective intelligence in human teams. By improving the ability to obtain precise, time-varying measurements of team behaviors and outcomes and building upon approaches used in studies of swarm intelligence to analyze and model individual and group-level behaviors, researchers can gain insight into the mechanisms underlying the emergence of collective intelligence. Such understanding could inspire targeted interventions to improve team effectiveness and support the development of a comparative framework of group-level intelligence in animal and human groups. 

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