Children and AI: Why Protection Must Go Hand in Hand With Digital Education

Australia and Vietnam point to different choices for children

Australia has announced a ban on social networks for children under 16, due to take effect in December. Platforms will be required to verify ages, and parents will be able to request the deletion of their children's accounts. As of November 2, 2025, the measure sits alongside a different approach in Vietnam, which is moving to introduce artificial intelligence lessons in primary school, starting in grade 1.

Australia's restriction responds to concerns about screen time, cyberbullying and recommendation feeds that encourage users to keep scrolling. Vietnam's push reflects the promise of introducing children early to tools that are becoming part of learning and everyday life. Families and schools face both pressures: protect children from harm and help them understand the technology around them.

Two competing messages dominate the debate. One treats technology as inevitable and argues that early mastery gives children an advantage. The other focuses on danger and seeks to keep digital tools away from childhood. Children themselves often take a more practical position. Many want to learn and create with technology while receiving help to manage their time and attention.

Critical digital education offers a way to connect those goals. It means teaching children to question a tool's answers, understand how it collects information and recognise how its design influences their choices. Children's rights, clear school policies and cooperation with families provide the foundations.

Australia's planned restriction and Vietnam's classroom initiative address different parts of children's digital lives. Their shared challenge is to give young people protection and the knowledge needed to make decisions, rather than leaving families to choose between access without guidance and exclusion without education.

What Australia's age checks are meant to change

Australia's restriction aims to reduce children's exposure to harmful content, targeted advertising, online harassment and features that encourage compulsive scrolling. Age checks, parental requests for account deletion and greater platform accountability can push social apps to put safety into their design.

Young users are still developing impulse control and social judgment. Recommendation feeds, badges and alerts can take advantage of those vulnerabilities by repeatedly drawing attention back to an app. Education can help children recognise those patterns in their own daily use.

Reliable age assurance, the process of checking whether someone meets an age requirement, is still developing. Methods include checking identity documents, analysing faces, using settings on devices and relying on outside verification services. Each involves choices about accuracy, privacy and whether legitimate users can gain access.

Children may share devices or create alternative accounts, making enforcement difficult. Strict bans can also move activity into less supervised parts of the internet, where risks may be greater and adults may find it harder to offer guidance.

Better age and identity checks can reduce direct contact with adult strangers, limit access to content restricted by age and curb aggressive collection of personal information. Settings attached to a child's profile across apps can help parents manage time limits and block contact from unknown users. Those protections depend on collecting as little data as possible, explaining the process and securing sensitive information.

Restrictions can also remove access to learning communities, creative activities and supportive networks of peers. Verification creates another privacy concern when platforms retain sensitive documents. Protection therefore needs to account for both harmful encounters and the connections children value.

Australia's announced schedule points to December, but no exact commencement date is given. For families, the immediate educational task remains concrete: explain how feeds and notifications work, discuss what children gain from online communities and establish boundaries they understand.

Children want help using technology, not just limits

Students involved in digital citizenship programmes in the United Kingdom often describe technology as useful for learning and creative play. They also want habits that help them control the time and attention they give it. Their views support an approach that combines participation with practical safeguards.

A recent national poll from Common Sense Media found that about one third of parents of children aged 0 to 8 said their children had already used AI for learning related to school. Many parents worry about screens, while a large share also report learning benefits from digital tools. Concern and perceived value can exist within the same family.

The American Academy of Pediatrics points to dangers including stereotypes and false information generated by AI, data collection that happens without users noticing, and synthetic media used for bullying or fraud. Synthetic media includes images, audio or other content created or altered by technology.

Families therefore need to preserve reading, play and interaction in person while helping children use digital tools safely and with a purpose. A child can benefit from a learning activity and still need an adult's help to recognise misleading information or stop when the activity has run its course.

Children's wish for support also matters when adults set rules. Conversations about what a tool does, what feels difficult and when to take a break can make boundaries part of learning rather than an unexplained restriction.

Where classroom AI helps and where it falls short

AI can support learning when its design follows learning science. Systems that ask children questions during reading can improve vocabulary and comprehension. Adaptive tutors, which adjust practice in response to a learner's answers, can provide immediate feedback. Speech tools can support children learning a language.

Teachers remain central to those benefits. AI works best as support for their teaching, while human interaction provides the foundation for language development, social skills and motivation. A conversational system cannot reproduce the warmth, nuance and relationship a child develops with a skilled teacher or engaged parent.

Generative AI, which produces content such as text or images, can invent facts and often gives little explanation of how it reached an answer. Biases in the information used to train it can appear in its responses. Many systems reveal little about their source material, making credibility difficult for children to judge.

Chatbots predict the next likely word rather than checking whether every statement is true. That helps explain why an answer can sound confident while being wrong. Image tools can similarly produce realistic scenes of events that never happened.

Some tools improve immediate performance on tasks such as drafting essays, but gains in understanding over longer periods remain unclear. AI literacy means learning which tasks a tool handles well, where it fails and how to question what it produces.

Practical classroom uses include adjusting practice tasks to individual needs, providing translation and accessibility support, and helping teachers identify common misunderstandings. Scheduling, quizzes used to check understanding during learning and the sorting of routine messages can be automated, leaving educators more time for instruction and feedback. Carefully designed educational games and simulations can also make abstract ideas easier for younger children to grasp.

Schools must manage privacy loss, bias and excessive dependence alongside those possibilities. Children may hand over thinking and creativity if AI becomes the shortcut for every assignment. Without clear rules, cheating and uncertainty about academic integrity can spread. Academic integrity means being honest about how work was completed and what help was used.

Tools intended to detect AI use are imperfect and can wrongly flag a student's own work, damaging trust. Children without reliable devices or stable internet may also fall further behind if access to AI becomes a requirement for daily schoolwork. Classroom adoption needs to be careful, transparent and fair.

Vietnam's early lessons need to teach questioning

Vietnam's move towards AI lessons in primary school could make the technology less mysterious and encourage curiosity from grade 1. The educational choice is whether children simply learn to operate tools and copy prompts, or learn to examine the systems they are using.

AI also recommends what people watch, learn or buy. Systems remember behaviour and gradually shape a person's feed. Children need help to see how that process works and to keep their own judgment at the centre of it.

Classroom inquiry can begin with familiar situations. If a robot grades an essay, how could a student check its feedback? What can a search engine do that a library book cannot, and when might the book be more useful? Where is personal data stored, who can see it and which settings can a child change?

Teachers can use these questions to introduce evidence, ethics and privacy. Children can test tools, describe how using them feels, and discuss the benefits and costs with classmates and adults. Learning then becomes an examination of technology rather than practice in accepting its answers.

Simple routines proposed for the early primary years include:

• See, think, question: examine what a tool shows, explain what it seems to mean and ask a question that requires the child's own contribution.
• Use a two source rule: check a factual AI answer against a second independent source before accepting it.
• Label the helper: write or draw a note showing when AI helped with a task and what the child changed after reading its answer.
• Practise kindness: use a polite mode where possible, practise courteous language with classmates and compare the conversations.
• Plan screen breaks: build short, predictable pauses into activities so children learn to stop without waiting for an adult's reminder.

These routines keep students responsible for the process. They also give teachers opportunities to discuss the areas where AI struggles, including nuance, context and empathy.

Digital citizenship includes attention, data and safety

Digital citizenship involves more than knowing how to open an app. In an AI environment, it includes understanding how systems shape attention, identity and participation in public life. A curriculum can connect those issues across subjects and school years.

Five strands provide a practical structure:

• Data basics: understand what information a person creates, how apps and assistants collect it and what privacy controls can do.
• Model limits: learn why a large language model can sound confident while being wrong, and practise testing its reliability.
• Platform design: examine how likes, streaks and endless feeds encourage continued use, and identify choices that reduce their pull.
• Safety and wellbeing: recognise deepfakes, phishing and grooming, practise reporting or blocking, and protect sleep, physical activity and friendships.
• Civic habits: check sources, identify attempts to persuade and disagree respectfully online.

Deepfakes are synthetic media that can make people appear to say or do things they did not. Phishing uses deceptive messages to seek information, while grooming involves building a relationship with a child for exploitation. Children need understandable ways to recognise these dangers and seek help.

Schools can also introduce programmes for children receiving their first devices, connecting classroom expectations with routines at home. Parent sessions can demonstrate how feeds work, which settings matter on phones and gaming consoles, and how to discuss AI with children.

Shared language and consistent expectations can reduce confusion and conflict between home and school. A lesson about managing attention is easier to apply when the adults around a child agree on the boundaries and explain their purpose.

Children's rights should guide the school rulebook

Guidance from global organisations says educational AI should support learning goals, protect privacy and promote equity. Few schools have formal policies for generative AI, making a straightforward framework useful for leaders deciding how to introduce it.

Education networks widely use seven principles as a starting point: purpose, compliance with privacy and safety laws, AI literacy for students and staff, a balance between benefits and risks, integrity in academic work, human agency in decisions, and continuing evaluation with community feedback.

Human agency means people retain meaningful control over decisions. For a student, that includes having adults exercise judgment about important assessments rather than leaving the outcome entirely to software.

Privacy, freedom of thought and mental health are connected to the right to learn. Invasive monitoring in classrooms can weaken trust and creativity. Regulators warn against making AI the sole method of marking student work. Human judgment should guide assessments with major consequences, supported by clear rules about when AI is allowed and how students disclose its use.

The United Kingdom's Age Appropriate Design Code provides one example of a legal approach that places children first in data protection. Global conventions also affirm that children's rights continue to apply in digital environments.

The UN Committee on the Rights of the Child, the body setting a baseline for digital policies affecting children's rights, expresses the principle this way:

Children's rights apply online just as they do offline.

Schools can use that principle to connect safety, participation and access. Protecting a child's information, allowing the child to contribute to decisions and providing suitable learning opportunities can support one another.

District policies need to cover teacher training, student use, academic integrity, data governance and procurement. Data governance sets rules for how information is collected, handled and protected; procurement concerns the software and services schools choose to buy.

Teachers need time and support to learn safe and effective classroom uses. Rules should explain when students may use AI for brainstorming or translation and when they may not. Templates for declaring AI assistance can make openness routine rather than exceptional.

Data audits and minimal collection reduce privacy risks. Software contracts should require secure storage, clear ownership of data and independent security testing. Regular reviews can keep policies current as tools change, with feedback from the school community informing revisions.

Parents can build habits without becoming AI specialists

Parents do not need computer science degrees to guide children. Exploring a tool together and asking questions can provide a useful beginning. A family might ask an assistant to explain a topic for a child in second grade, then compare its explanation with a book or the teacher's notes.

Daily routines matter alongside those conversations. Dinners without devices and a charging station outside bedrooms create predictable boundaries. Bedtime routines and daily reading deserve protection because those habits are slipping in many homes.

Families can put safeguards into practice through a small set of repeatable actions:

• Review privacy settings on accounts and devices, opt out of personalised advertising and turn off microphone access when it is unnecessary.
• Begin with supervised tools in environments provided by schools or trusted platforms.
• Check chatbot answers against two independent sources.
• Discuss mistakes and bias, and ask what the child changed after reading an AI suggestion.
• Agree on times and places for screens, then keep those boundaries consistent to support attention and sleep.
• Protect friendships, play and activities in person that build social skills and confidence.

Parents can make mistakes part of the conversation rather than a reason to abandon questioning. Asking a child to explain a correction keeps attention on their reasoning and makes it normal to challenge an answer that sounds convincing.

Schools can help through family workshops, short video explanations and model permission forms. Concrete guidance turns a broad warning about technology into something families can act on at home.

School policy needs to catch up with existing use

Surveys indicate that about half of students use AI for learning at least monthly, while more than half of teachers use it for planning or feedback. Students have low confidence in teachers' AI expertise, pointing to a need for professional development.

Students and teachers are therefore already making decisions about AI in everyday work. Without clear rules, confusion spreads and differences in access can widen. With guidance, AI can reduce routine work, make learning support more accessible and prepare students for a labour market where AI literacy is a basic skill.

Education leaders can focus on five immediate tasks:

• Set AI literacy standards across grades, with specific learning outcomes and example lessons.
• Define simple, fair rules for academic integrity that suit children's ages and require human review of major assessments.
• Invest in teacher training on safety, writing prompts, bias and matching tools to lesson goals.
• Set minimum privacy and security requirements, including minimal data collection and clear data ownership.
• Collect feedback from students and parents so children help shape uses and boundaries.

Civil society and international groups are also developing guidance. Frameworks focused on children call for AI to be purposeful, wise, ethical and responsible, particularly in early learning. Coalitions across sectors are working on guidance for companies building AI products for children, with support from global agencies that protect children's rights.

Those efforts can inform national rules and provide practical checklists for schools. Australia and Vietnam illustrate why both protection and education need attention: children require safer digital environments and opportunities to understand the systems they encounter. Adults remain responsible for setting boundaries, checking important decisions and preserving the relationships through which children learn.

At a Glance

• Australia's announced restriction on social networks for children under 16 is due in December, with age verification and parental requests for account deletion.
• Vietnam is moving towards AI lessons in primary school, starting in grade 1.
• About one third of parents of children aged 0 to 8 in a Common Sense Media poll said their children had used AI for school learning.
• AI can support reading, language learning, accessibility and teacher workloads, while introducing risks involving errors, bias, privacy and dependence.
• Critical digital education teaches children to check answers, understand data collection, recognise persuasive design and manage attention.
• School policies need clear rules for AI use, human judgment in major assessments, teacher training and safeguards for student information.
• About half of students use AI for learning at least monthly, and more than half of teachers use it for planning or feedback, according to surveys.
• Families and schools can combine protection with participation through shared routines, supervised use and opportunities for children to question technology.