关于 CASI
CASI 是由家长完成的儿童 AI 安全与家庭科技关系观察工具。它关注的不是“孩子会不会用科技”，也不是单纯计算屏幕时间，而是帮助家庭看见：孩子正在与手机、AI、智能设备、推荐内容和数字角色形成什么样的关系。
CASI 为什么存在
儿童 AI 安全不只包括平台和产品是否合规，也包括孩子是否逐渐把屏幕当成默认选择、把智能回应当成真实陪伴、把判断交给系统，或在隐私和家庭规则上缺少清楚边界。CASI 把这些较抽象的问题转化为家长能够观察、理解和采取行动的家庭场景。
CASI 提供两种评估
通过 10 个生活化问题，生成一份结合孩子年龄阶段的家庭科技关系画像、当前提醒和可以马上开始的小行动。
通过 37 个问题形成更完整的九维关系画像、重点场景解释、7 天行动建议、产品安全检查和后续回看入口。
CASI 深度评估关注什么
年龄用于帮助解释行为所处的发展阶段，不用于给孩子判断好坏。
家庭是否知道孩子正在接触哪些会推荐、回应或持续吸引的内容。
无聊、等待、情绪变化和停止内容时，孩子是否仍有其他可选择的路径。
屏幕或智能回应是否正在承担过多的安抚、陪伴或关系功能。
家庭是否保护孩子的照片、声音、学校、位置及向应用或 AI 输入的信息。
规则是否稳定、可解释，并有真实的人、活动和家庭连接承接孩子的需要。
家长会得到什么
CASI 不只给出一个结果名称。CASI 深度评估报告会把家庭回答转化为年龄解释、关系画像、值得优先看见的家庭场景、产品安全检查和可以在日常生活中执行的 7 天行动路径。
CASI 不是什么
它不用于判断孩子“正常或异常”，不替代儿科、心理、教育或法律专业服务，也不代表对任何 AI 产品、平台或设备作出安全认证。CASI 当前是一项家庭教育与观察工具，而不是已经完成临床或心理测量学验证的标准化量表。
数据与儿童信息边界
CASI 快速评估不需要孩子姓名、照片、语音或精确地址。CASI 深度评估使用家长或监护人邮箱完成付款、报告发送和安全恢复，并以内部评估编号保存报告。一般服务、付款和报告问题可联系 support@babyphdsafety.com；隐私和数据权利请求可联系 privacy@babyphdsafety.com。具体的数据处理、保存、删除与家长权利请参阅隐私政策和儿童个人信息保护说明。
持续改进
CASI 会根据儿童发展研究、儿童 AI 安全治理、家庭反馈以及去标识化的整体趋势持续更新。版本变化不会把家庭结果解释为医学结论，而是帮助 Baby PhD 更准确地改进家长语言、行动建议和课程内容。
About CASI
CASI is a parent-completed child AI safety and family technology relationship tool. It does not ask only whether a child can use technology or how much screen time they have. It helps families notice the relationship a child is forming with phones, AI, smart devices, recommendation systems, and digital characters.
Why CASI exists
Child AI safety is not only about whether a platform or product complies with rules. It also includes whether screens are becoming the child’s default response, whether synthetic responses are being understood as real companionship, whether judgment is being handed over to systems, and whether privacy and family boundaries are clear. CASI translates these abstract issues into family situations parents can observe, understand, and act on.
Two CASI assessment options
Ten family observation questions generate an age-aware family technology relationship profile, current reminders, and small actions that can begin immediately.
Thirty-seven family observation questions generate a nine-dimension relationship profile, priority-situation interpretation, a 7-day action plan, product-settings checks and a later review path.
What the CASI In-Depth Assessment considers
Age helps interpret patterns in context; it is not used to judge the child.
Whether the family can see what recommending, responding, or highly engaging systems the child encounters.
Whether the child still has other pathways during boredom, waiting, emotional shifts, and stopping content.
Whether screens or synthetic responses are carrying too much comfort, companionship, or relationship function.
How the family protects photos, voice, school, location, and information entered into apps or AI systems.
Whether rules are stable and explainable, with real people, activities, and family connection available to meet the child’s needs.
What families receive
The CASI In-Depth Assessment Report translates family responses into developmental interpretation, a relationship profile, priority family situations, product-settings checks, and a practical 7-day path for daily life.
What CASI is not
It does not determine whether a child is “normal” or “abnormal,” replace pediatric, psychological, educational, or legal services, or certify any AI product, platform, or device as safe. CASI is currently a family education and observation tool, not a clinically or psychometrically validated standardized scale.
Data and children’s information boundaries
The CASI Quick Assessment does not require the child’s name, photo, voice, or precise address. The CASI In-Depth Assessment uses a parent or guardian email for payment, report delivery, and secure recovery, and stores the report under an internal assessment identifier. Contact support@babyphdsafety.com for general service, payment, or report help, and privacy@babyphdsafety.com for privacy and data-rights requests. See the Privacy Policy and Children’s Privacy Notice for details about processing, retention, deletion, and parent rights.
Ongoing improvement
CASI will continue to evolve with child-development research, child AI safety governance, family feedback, and de-identified aggregate patterns. Version updates are used to improve family-facing language, action guidance, and learning resources—not to turn family results into medical conclusions.