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
Among all potential ethical and societal risks, challenges, and dilemmas of AI
applications in K-12 classrooms, this paper focuses on problems of privacy, surveillance, autonomy, bias, and discrimination. Privacy concerns of students and teachers is one of the biggest ethical issues as AI systems ask for user’s consent to access their personal data, such as racial identity, location, and other personal information. Another concern is surveillance. AI tracking systems constantly monitor user activities and determine their preferences. AI can also jeopardize students and teachers’ autonomy, which is their ability to act on their own interests and values. AI also reveals gender bias and racial stereotypes. This is a credible and useful resource. It is an academic journal published in the National Library of Medicine in 2021. It is important to include a counterargument which can make my overall argument more persuasive because it shows that I looked at the issue from multiple perspectives.