Daily Technology
·30/07/2026

A New York school district recently paused a plan to introduce "Sally," a lifelike humanoid robot, into high school classrooms. While the technology aims to assist with instruction and support, the controversy highlights critical questions regarding data privacy, the role of human educators, and the future of artificial intelligence in schools.
Humanoid robots like "Sally" are intended to support instruction rather than replace classroom teachers.
Research suggests AI-based avatars can tailor support to students and make practice feel less intimidating.
Recorded interactions and stored student data create major concerns around control, access, and possible breaches.
Evidence points to robots working best when they complement a teacher instead of operating on their own.
The integration of robotics into education is not a new phenomenon. While "Sally," with her silicone skin and interactive capabilities, represents a new frontier, schools have long experimented with nonhumanoid robots like "Nao" to teach coding or foreign languages. As generative AI tools become common in administrative and instructional roles, the barrier to adopting more advanced, humanlike technology continues to lower.
AI-based avatars and assistants offer unique advantages, particularly in individualizing education. These tools can provide on-demand support, patiently guiding students through complex math problems or teaching self-regulation strategies. Students often report feeling less pressure when interacting with AI, as these systems are perceived as non-judgmental, allowing learners to practice at their own pace without the fear of social stigma.
Research on classroom robots points to a clear limit: they can support learning, but they do not replace the relational work of teaching.
They can improve some cognitive outcomes and deliver consistent, efficient assistance during learning tasks.
They manage classroom dynamics and provide empathy, trust, and emotional support that remain essential to child development.
Despite the efficiency of robots, they cannot replace the nuance of a human educator. A 2026 meta-analysis indicated that while social robots can improve cognitive outcomes, they are most effective when a teacher is present to manage classroom dynamics. Human teachers provide the empathy, trust, and emotional support that are critical for child development—elements that simulated care simply cannot replicate.
Recorded interactions
The central privacy issue is that personalized robotic support depends on collecting and storing student data.
The deployment of these robots introduces significant risks regarding data privacy and security. Because interactions are recorded to provide personalized feedback, schools must grapple with how that data is stored, who controls it, and whether it could be vulnerable to breaches. Furthermore, there are broader ethical questions about the long-term impact on children who develop relationships with machines rather than people, and whether robots can truly uphold the professional standards expected of educators.