Kelly Bacot, an Early Childhood Educator, Warns of the Danger of Raising Children Who Trust Machines More Than Humans

San Francisco, CA, 29th June 2026, ZEX PR WIRE, As artificial intelligence becomes increasingly embedded in classrooms and homes, educators are raising concerns about how early exposure is shaping children's understanding of trust. Kelly Bacot, an experienced early childhood educator and highly rated tutor, warns that children may come to place greater trust in machines than in human judgment if AI is introduced without clear boundaries and intentional instruction.

Bacot notes that AI tools are being rapidly integrated into early learning environments. These tools include adaptive learning platforms, automated feedback systems, and digital tutoring programs. While she supports technology as a supplement to learning, she emphasizes that it should not replace human interaction or human authority in the classroom.

She adds that young children are especially vulnerable to over-trusting systems that respond quickly and confidently. AI systems often provide instant answers without hesitation. Bacot explains that this can create a perception of certainty that does not always reflect accuracy. She cautions that children may begin to equate speed and confidence with truth.

According to Bacot, early childhood is a critical stage in development. Children are still learning how to interpret authority and build social understanding. During this stage, they rely heavily on teachers and caregivers to shape their understanding of truth, emotion, and decision-making. She warns that introducing AI without guidance may blur the line between human judgment and machine output.

She further notes that learning is not only about receiving information. It is also about interaction, questioning, and emotional connection. These elements are central to classroom development and cannot be replicated by automated systems. Bacot emphasizes that human interaction remains essential for building empathy, communication skills, and resilience.

Education experts supporting this view argue that overreliance on AI tools could reduce opportunities for children to engage in discussion and collaborative problem-solving. These experiences are important for developing critical thinking and interpersonal trust. Bacot adds that children learn not just from answers, but from the process of reaching them with others.

Another concern raised is the long-term impact on critical thinking. Bacot explains that children who become accustomed to accepting machine-generated responses without questioning them may struggle later in life when evaluating information in more complex environments. She notes that distinguishing between human insight and automated output is becoming an essential life skill.

Bacot is not calling for the removal of technology from classrooms. Instead, she advocates for a structured approach that teaches children how to use AI responsibly. She supports early instruction in what she describes as digital discernment. This includes teaching children that AI systems can make mistakes and that they do not think or feel like humans do.

She also stresses the importance of keeping human-centered learning at the core of early education. Activities such as storytelling, group play, and guided discussion help children build emotional intelligence and social awareness. Bacot notes that these experiences are foundational and should not be displaced by screen-based instruction.

Public education systems, she argues, are well-positioned to balance innovation with foundational learning. However, she cautions that without clear policy direction and proper teacher preparation, schools may unintentionally lean too heavily on automated tools in the name of efficiency.

Bacot adds that efficiency should never come at the expense of human development. She emphasizes that education is not only about academic performance but also about shaping how children relate to others and interpret the world around them.

As AI continues to evolve, Bacot calls for a deliberate and measured approach to its use in early education. She encourages educators and policymakers to prioritize human relationships in the learning process. According to her, the central challenge is not whether children will use AI, but whether they will continue to trust and value human understanding as they grow. To learn more about Kelly Bacot, visit: https://www.linkedin.com/in/kelly-bacot-3b4240144/

This release was published on openPR.