AI and Children

Aeschlimann, S., Bleiker, M., Wechner, M., & Gampe, A. (2020). Communicative and social consequences of interactions with voice assistants. Computers in Human Behavior, 112, 106466. https://doi.org/10.1016/j.chb.2020.106466

Caliskan, A. (2023). Artificial intelligence, bias, and ethics. In Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 7007-7013.  https://doi.org/10.24963/ijcai.2023/799

Common Sense Media. (2019). The Common Sense Census: Media Use by Tweens and Teens. www.commonsensemedia.org/research/the-common-sense-census-media-use-by-tweens-and-teens-2019 

Common Sense Media. (2023). Parents and students are optimistic about AI, but parents have a lot to learn to catch up to their kids – and want rules and ratings to help them. https://www.commonsensemedia.org/sites/default/files/featured-content/files/common-sense-ai-polling-memo-may-10-2023-final.pdf

Druga, S., Williams, R., Park, H. W., & Breazeal, C. (2018, June). How smart are the smart toys? Children and parents’ agent interaction and intelligence attribution. Proceedings of the 17th ACM conference on interaction design and children, 231-240. doi.org/10.1145/3202185.3202741 

Family Online Safety Institute. (2023). Generative AI: Emerging Habits, Hopes, and Fears. www.fosi.org/policy-research/emerging-habits-hopes-and-fears

Gampe, A., Zahner-Ritter, K., Müller, J. J., & Schmid, S. R. (2023). How children speak with their voice assistant Sila depends on what they think about her. Computers in human behavior, 143(12), 107693. https://doi.org/10.1016/j.chb.2023.107693

Girouard-Hallam, L. N., & Danovitch, J. H. (2022). Children’s trust in and learning from voice assistants. Developmental Psychology, 58(4), 646–661. https://doi.org/10.1037/dev0001318

Internet Matters. (2020). Living the future: The technological family and the connected home. https://www.internetmatters.org/wp-content/uploads/2020/10/Internet-Matters-Living-For-The-Future-Report.pdf 

Lee, V. R., Pope, D., Miles, S., & Zárate, R. C. (2024). Cheating in the age of Generative AI: A high school survey study of cheating behaviors before and after the release of chatgpt. Computers and Education: Artificial Intelligence, 7, 100253. https://doi.org/10.1016/j.caeai.2024.100253 

Liang, W., Yuksekgonul, M., Mao, Y., Wu, E., & Zou, J. (2023). GPT detectors are biased against non-native English writers. Patterns, 4(7). https://doi.org/10.1016/j.patter.2023.100779

Michaelson, E. & Carter, N. (2024). The 2024 K–12 Administrator AI Report: Perceptions, Practices, and Potential. Imagine Learning. https://www.imaginelearning.com/wp-content/uploads/2024/01/IL-Admin-Perspective-AI-Survey-Report.pdf

Ranard, B. L., Park, S., Jia, Y., Zhang, Y., Alwan, F., Celi, L. A., & Lusczek, E. R. (2024). Minimizing bias when using artificial intelligence in critical care medicine. Journal of Critical Care, 82, 154796. https://doi.org/10.1016/j.jcrc.2024.154796

Su, J., & Yang, W. (2023). Artificial Intelligence and Robotics for Young Children: Redeveloping the Five Big  Ideas Framework. ECNU Review of Education, 0(0). https://doi.org/10.1177/20965311231218013

UNICEF. (2021). Policy guidance on AI for children. https://www.unicef.org/globalinsight/media/2356/file/UNICEF-Global-Insight-policy-guidance-AI-children-2.0-2021.pdf 

Vicente, L., & Matute, H. (2023). Humans inherit artificial intelligence biases. Scientific Reports, 13(1), 1–13. https://doi.org/10.1038/s41598-023-42384-8

Xu, Y., & Warschauer, M. (2020). What are you talking to? Understanding children’s perceptions of conversational agents. Proceedings of the 2020 CHI conference on human factors in computing systems, April 25–30, 2020, ACM, Honolulu, HI. https://doi.org/10.1145/3313831.3376416 

Xu, Y., Wang, D., Collins, P., Lee, H., & Warschauer, M. (2021). Same benefits, different communication patterns: Comparing Children’s reading with a conversational agent vs. a human partner. Computers & Education, 161, 104059. https://doi.org/10.1016/j.compedu.2020.104059