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This paper analyzes the safety of Large Language Models (LLMs) in interactions with children below age of 18 years.
Personality inventory for children
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Nancy e. dowd, dorothy g. singer, and robin fretwell wilson, eds., handbook of children, culture, and violence: Thousand oaks, ca.: Sage publications, 2006
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Unwanted and wanted exposure to online pornography in a national sample of youth internet users
Janis Wolak, Kimberly Mitchell, and David Finkelhor. 2007 · 2007
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The role of violent video game content in adolescent development: Boys’ perspectives
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Children and online risk: Powerless victims or resourceful participants?
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Are kids too busy? early adolescents’ perceptions of discretionary activities, overscheduling, and stress
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Increases in depression, self-harm, and suicide among us adolescents after 2012 and links to technology use: possible mechanisms
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In their own words: What bothers children online?
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Annual research review: Harms experienced by child users of online and mobile technologies: The nature, prevalence and management of sexual and aggressive risks in the digital age
Sonia Livingstone and Peter K Smith. 2014 · 2014
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Exposure of children and adolescents to alcohol marketing on social media websites
Eleanor M Winpenny, Theresa M Marteau, and Ellen Nolte. 2014 · 2014
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From the mouths of social media users: A focus group study exploring the social casino gaming–online gambling link
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Identifying child abuse through text mining and machine learning
Chintan Amrit, Tim Paauw, Robin Aly, and Miha Lavric. 2017 · 2017
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An exploration of alcohol advertising on social networking sites: an analysis of content, interactions and young people’s perspectives
Amanda Marie Atkinson, Kimberley May Ross-Houle, Emma Begley, and Harry Sumnall. 2017 · 2017
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Jessica Pater and Elizabeth Mynatt. 2017 · 2017
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Adolescents’ interest experience in daily life in and across family and peer contexts
Red teaming language models with language models
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A framework and exemplars for ethical and responsible use of ai chatbot technology to support teaching and learning
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Yujin Cho, Mingeon Kim, Seojin Kim, Oyun Kwon, Ryan Donghan Kwon, Yoonha Lee, and Dohyun Lim. 2023 · 2023
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Misinformation and disinformation in food science and nutrition: Impact on practice
Connie Diekman, Camille D. Ryan, and Tracy L. Oliver. 2023 · 2023
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Winoqueer: A community-in-the-loop benchmark for anti-lgbtq+ bias in large language models
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The kids are alt-right: How media and the law enable white supremacist groups to recruit and radicalize emotionally vulnerable individuals
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Perception of pranks on social media: Clout-lighting
Yosra Jarrar, A Awobamise, S Nnabuife, and Gabriel E Nweke. 2020 · 2020
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A natural language processing and deep learning approach to identify child abuse from pediatric electronic medical records
Akshaya V Annapragada, Marcella M Donaruma-Kwoh, Ananth V Annapragada, and Zbigniew A Starosolski. 2021 · 2021
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On the opportunities and risks of foundation models
Rishi Bommasani, Drew A Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, et al. 2021 · 2021
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Associations between adolescent depression and self-harm behaviors and screen media use in a nationally representative time-diary study
Cooper McAllister, Garrett C Hisler, Andrew B Blake, Jean M Twenge, Eric Farley, and Jessica L Hamilton. 2021 · 2021
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Emotional artificial intelligence in children’s toys and devices: Ethics, governance and practical remedies
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Virginia K Felkner, Ho-Chun Herbert Chang, Eugene Jang, and Jonathan May. 2023 · 2023
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Artificial intelligence and child abuse and neglect: a systematic review
Francesco Lupariello, Luca Sussetto, Sara Di Trani, and Giancarlo Di Vella. 2023 · 2023
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Inverse scaling: When bigger isn’t better
Ian R McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, et al. 2023 · 2023
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The impact of parental conflict on children for their growth, upbringing and proper grooming
Hameeda Narejo, Aijaz Wassan, and Eurm Shah. 2023 · 2023
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The risks of using chatgpt to obtain common safety-related information and advice
Oscar Oviedo-Trespalacios, Amy E Peden, Thomas Cole-Hunter, Arianna Costantini, Milad Haghani, JE Rod, Sage Kelly, Helma Torkamaan, Amina Tariq, James David Albert Newton, et al. 2023 · 2023
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Woosuk Seo, Chanmo Yang, and Young-Ho Kim. 2023 · 2023
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Trustworthy llms: a survey and guideline for evaluating large language models’ alignment
Yang Liu, Yuanshun Yao, Jean-Francois Ton, Xiaoying Zhang, Ruocheng Guo, Hao Cheng, Yegor Klochkov, Muhammad Faaiz Taufiq, and Hang Li. 2024 · 2024
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Helpful or harmful? exploring the efficacy of large language models for online grooming prevention
Ellie Prosser and Matthew Edwards. 2024 · 2024
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Simplesafetytests: a test suite for identifying critical safety risks in large language models
Bertie Vidgen, Nino Scherrer, Hannah Rose Kirk, Rebecca Qian, Anand Kannappan, Scott A. Hale, and Paul Röttger. 2024 · 2024
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Judging llm-as-a-judge with mt-bench and chatbot arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric Xing, et al. 2024 · 2024
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Ethical implications of ai in the metaverse
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