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Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2(3), 431–440. https://doi.org/10.1007/s43681-021-00096-7
This article by Akgun and Greenhow (2022) focuses on the ethical considerations and challenges of integrating Artificial Intelligence (AI) in K-12 environments. Through this synthesis study, although Akgun and Greenhow (2022) have stated that utilizing AI can support student learning and teachers’ practices, they argue that AI’s ethical and societal implications are rarely considered. The article aims to explore the utilization of AI programs in K-12 education by providing a framework and resources for the ethical implementation of AI-based programs. Through this synthesis study, the authors stated that the benefits of AI include personalized learning, automated assessment systems, and facial recognition. In contrast, the ethical challenges of integrating AI into K-12 education include privacy, surveillance, autonomy, bias, and discrimination. It was interesting that Akgun and Greenhow (2022) assessed automated assessment systems as a benefit, not an ethical consideration, as assessments should be utilized to personalize learning, guide instruction, and provide meaningful feedback. While automated assessment systems are efficient, they can negatively impact meaningful evaluations to improve student learning. Regardless, the authors presented resources and tools from MIT Media Lab and Code.org to ensure that AI-based tools are authentically and ethically implemented in K-12 education. This research was completed in affiliation with Michigan State University, contributes to research regarding AI in K-12 education, and addresses the research gap in the ethical implications of AI education. Akgun and Greenhow (2022) provide reliable information regarding AI in education to further support teachers, students, and administrators in engaging with AI technologies. This article is beneficial for this research question as it is situated in K-12 education, shows the benefits of AI-based tools for teachers, and addresses ethical and responsible use challenges. Although AI has significant opportunities to improve teacher practices and enhance student learning outcomes, the ethical implications of AI-based tools must be discussed, researched, and evaluated. As noted by Akgun and Greenhow (2022), more research is essential for designing future resources that address AI privacy and bias-related ethical concerns. (326 words)