**TUESDAY, OCTOBER 20: PARENTS CANNOT SUPERVISE WHAT THEY DON'T UNDERSTAND** Imagine being a parent trying to make informed decisions about your child's use of AI. There are so many questions parents may be asking themselves! What can the technology do? What can't it do? What information does it collect? Who sees that information? How might my child use it when I'm not watching? What happens when the system gives an incorrect answer? What happens when it gives an extraordinarily convincing incorrect answer? And what happens when the system itself changes? Parents have always helped children navigate unfamiliar technologies and environments. But AI presents an unusual challenge. The technology is becoming more capable, and changing rapidly, while also becoming more deeply integrated into ordinary activities such as homework, entertainment, creative projects, information searches, conversations, and personal questions. And, at the same time, different parents may have very different levels of technical knowledge, available time, financial resources, and confidence. Some will experiment extensively with AI themselves. Others may have little experience with it. And neither situation automatically tells us how well a parent understands the developmental implications. I think we need to be careful about placing enormous responsibility on families without providing them the information and support necessary to exercise it. **PARENTAL RESPONSIBILITY REQUIRES MEANINGFUL PARENTAL UNDERSTANDING.** But understanding isn't simply a list of prohibited activities. It's learning enough to ask useful questions, recognize uncertainty, and help children develop their own judgment. I don't think parents need to become AI engineers. But they deserve accessible, accurate, continually updated information about the systems entering their children's lives. Question: What information would help parents make better decisions about their children's use of AI? #Tuesday #October #AI #ArtificialIntelligence #Parenting #AILiteracy #DigitalParenting #ChildDevelopment #FamilyEducation #HumanCenteredAI

**MONDAY, OCTOBER 19: WHO IS RESPONSIBLE FOR THE CHILDREN?** Last week, we explored a simple but enormously important observation -- there is no such thing as a "generic" child. Children have different abilities, experiences, needs, interests, resources, relationships, and developmental circumstances. And now we're introducing extraordinarily powerful, rapidly changing AI systems into their lives. This particular generation will undergo rapid changes while suddenly accessing and using a technology that is also rapidly changing. Future generations will not have that added level of change, but they will also be using AI while themselves changing rapidly. All of this raises a question I think deserves considerably more attention than I believe we may be giving it: **WHO IS RESPONSIBLE FOR THE CONSEQUENCES?** Is it parents, teachers, school administrators, curriculum specialists, school board members, city council members, state boards of education, researchers, technology companies, developers, machine learning specialists, policymakers? All of them? We already know that children develop within complicated environments shaped by the adults and institutions around them. And we know that AI capabilities are advancing extraordinarily quickly. What we don't yet know is how growing up with increasingly capable AI will affect different children over many years. We also don't know how the constant changes in AI will affect this particular generation. We can study specific tools and specific outcomes. We absolutely should. But we cannot responsibly assume that a finding about one model, one group of students, or one educational activity tells us everything we need to know about a technological environment that may look substantially different six months later. Meanwhile, children are using these systems now. And decisions are being made now. And those decisions have consequences, whether or not we've finished studying them. So I think responsibility has to begin with acknowledging what we know, what we don't know, and what we're doing anyway. Because uncertainty doesn't eliminate responsibility. **It makes responsible judgment more important.** Question: Who should bear the greatest responsibility for ensuring that AI serves children's developmental interests? #Monday #October #AI #ArtificialIntelligence #ChildDevelopment #Education #AIEthics #AIResponsibility #HumanCenteredAI #HumanFlourishing

SUNDAY, OCTOBER 18: NO CHILD IS GENERIC. AND THE WORLD IS CHANGING FOR ALL OF THEM. We've spent this week considering how AI might affect children differently depending on their developmental stages, abilities, educational needs, interests, health, resources, and circumstances. And I think we've arrived at two observations that deserve to be considered together: 1. There is no "generic" child. Each one is an individual in a multitude of tiny ways. 2. All these wonderfully different children are growing up during the same extraordinary technological transition while that same technology is also rapidly changing itself and the rate at which it is changing is also rapidly increasing. The same AI tool might remove an unnecessary barrier for one child, provide appropriately challenging work for another, help a third practice communication, give a fourth access to explanations or opportunities that weren't previously available, and potentially allow a fifth to avoid practicing something they need to learn. Several of those things could even happen to the same child at different times. Because children change, their circumstances change, and AI itself is changing extraordinarily quickly. Which brings us back to something I've been thinking about throughout this series. We're already living through what amounts to a global, species-wide natural experiment, without an overarching research design or a control group. And the actual implementation of AI in everyday life is moving far faster than our ability to study its long-term developmental consequences. That doesn't mean we should panic. It also doesn't mean we should shrug and hope everything works out. I think it means we should become much more intentional about what we're observing, what questions we're asking, and what evidence we're gathering. Which children? At what developmental stages? Using which tools? For which purposes? With what guidance? Under what circumstances? What happens immediately? And what happens over years? Perhaps most importantly, are we willing to change our approaches when reality doesn't match our expectations? Because the reason these questions matter isn't that AI matters so much. It's that children matter. Next week, we'll turn our attention to the adults and institutions making decisions about all of this. Question: What individual differences or circumstances do you think AI education research needs to pay considerably more attention to? #Sunday #SundayThoughts #October #Fall #AI #ArtificialIntelligence #Education #ChildDevelopment #EducationalEquity #InclusiveEducation #AILiteracy #HumanCenteredAI #HumanFlourishing