AI in education, seen through harms rather than hype
The live center of Marachi’s Scoop.it work is a watchdog archive on AI, educational psychology, and emerging technologies. Its signature move is to shift the frame from speculative risk to documented harm: deception, surveillance, privacy failures, and the everyday effects of automated systems on students and educators.
Teachers are not an afterthought in this archive. The topic repeatedly asks how large language models and platform systems affect the people expected to use them, govern them, or absorb their consequences in schools.
The evidentiary range is unusually broad. Senate testimony, psychology expertise, civil-rights concerns, journalism, research papers, lawsuits, and agency actions sit side by side, forming a record of accountability rather than a feed of product announcements.
Privacy is the connective tissue. Whether the item is about data breaches, student records, chatbots, class actions, or school platforms, the recurring question is who benefits from education data and who bears the harm when systems fail.
- Further reading
- Will You Help Us #SaveTheAI? // Landau et al., 2026
- Risks vs. Harms: Unraveling the AI Terminology Confusion // Montreal AI Ethics Institute
- AI Therapy Bots Are Conducting 'Illegal Behavior,' Digital Rights Organizations Say // Cole, 2025 // 404 Media
- Examining the Harm of AI Chatbots // Written Testimony of Mitchell J. Prinstein, PhD, ABPP, Chief of Psychology, American Psychological Association // U.S. Senate Judiciary Committee // September ...
- "Don't Forget the Teachers": Towards an Educator-Centered Understanding of Harms from Large Language Models in Education // Harvey, Koenecke, & Kizilcec, 2025 // Cornell University
- The Algorithmification of Society: A wake-up call [Slidedeck from 5/6/25 public lecture at University of Tartu, Estonia] // Prof. Dr. Dagmar Monett
- Google Data Privacy Class Action Complaint - April 7, 2025