This study explores the less-discussed negative impacts of integrating Artificial Intelligence (AI) in educational settings, focusing on areas such as human connection, data privacy, algorithmic bias, transparency, critical thinking, access equity, ethical issues, teacher development, reliability, and the consequences of AI-generated content. Through a multi-phased approach involving content analysis and survey research, the study develops and validates a theoretical model that identifies several areas of concern. The initial phase involved a systematic literature review, yielding 56 relevant studies, and the subsequent survey with 260 participants from a Saudi Arabian university aimed to validate the model. The findings confirm concerns about various issues, highlighting interconnectedness and suggesting that addressing one area can positively impact others. The study advocates for comprehensive strategies to maintain human connections, ensure data privacy, mitigate biases, enhance transparency, foster creativity, reduce access disparities, emphasize ethics, prepare teachers, ensure system reliability, and regulate AI-generated content. These strategies underscore the need for holistic policymaking to leverage AI's benefits while safeguarding against its disadvantages.This study explores the less-discussed negative impacts of integrating Artificial Intelligence (AI) in educational settings, focusing on areas such as human connection, data privacy, algorithmic bias, transparency, critical thinking, access equity, ethical issues, teacher development, reliability, and the consequences of AI-generated content. Through a multi-phased approach involving content analysis and survey research, the study develops and validates a theoretical model that identifies several areas of concern. The initial phase involved a systematic literature review, yielding 56 relevant studies, and the subsequent survey with 260 participants from a Saudi Arabian university aimed to validate the model. The findings confirm concerns about various issues, highlighting interconnectedness and suggesting that addressing one area can positively impact others. The study advocates for comprehensive strategies to maintain human connections, ensure data privacy, mitigate biases, enhance transparency, foster creativity, reduce access disparities, emphasize ethics, prepare teachers, ensure system reliability, and regulate AI-generated content. These strategies underscore the need for holistic policymaking to leverage AI's benefits while safeguarding against its disadvantages.