Google.org has appointed former McKinsey Associate Partner Auden Laurence to direct its global strategy for youth digital safety and wellbeing. The philanthropic organization is expanding its investments in artificial intelligence literacy and classroom coding tools. This appointment comes as schools increasingly use advanced technologies in daily lessons.
What Happened
In August 2026, Auden Laurence joined Google.org to lead its efforts to make digital environments safer for children. The appointment matches Google.org's work to scale educational technology. As we track how corporate strategies impact school safety, leadership roles like Laurence's are increasingly important to manage the risks of digital classrooms.
Google.org is currently funding programs like Experience AI, a free AI literacy curriculum developed by the Raspberry Pi Foundation and Google DeepMind. The initiative is expanding globally, and Google.org recently committed $1.2 million in funding to bring these resources to 150,000 students in Australia and New Zealand. Google.org also funds visual programming tools like Blockly, which power coding platforms like Scratch and Code.org.
The Bigger Picture
The push to introduce AI and coding to younger students is met with mixed scientific evidence. While block-based programming is widely used to teach coding, a comprehensive meta-analysis found only a modest, statistically non-significant difference in learning outcomes compared to traditional text-based coding. However, visual block environments provide important support for specific learners. A study on visual scaffolding shows that it directly benefits students with lower executive functioning by helping them close cognitive strategy gaps and catch up to their peers.
Classrooms do not always require expensive digital tools to teach computer science concepts. A middle school study revealed that offline "algorithmic explanations" are just as effective at developing analytical skills as digital block-based coding, making offline learning a viable, low-cost alternative.
Where AI tools are used, human intervention remains the main driver of student success. For instance, Google.org points to an AI model developed by DataKind with John Jay College that helped increase senior graduation rates from 54% to 86% over two years. The AI did not teach the students. Instead, it flagged at-risk individuals so human advisors could step in with intensive, one-on-one coaching. Highly structured programs like CUNY's Accelerate, Complete, and Engage have provenly doubled graduation rates through direct human support. As we previously reported, school systems must ensure that educational technology supports, rather than replaces, human relationships.
What This Means for Families
For parents and educators, these developments show that classroom technology is only as effective as the human support surrounding it. While AI and coding tools offer engaging ways to learn digital literacy, they require oversight. Research shows that local educator training is necessary so teachers can confidently guide students through the ethical and safety aspects of AI. Families should look beyond the marketing claims of school software. Ask how districts protect student data, and find out if they fund the counselors and advisors who help students directly.
What You Can Do
To help your children and schools, you can take several direct actions:
First, you can obtain free digital safety resources. Parents and teachers can download step-by-step materials from the Experience AI program to teach children ages 11 to 14 how artificial intelligence works and how to use it safely.
Second, you can advocate for human-centered school technology. Ask your local school board to prioritize funding for human support systems. This ensures that AI risk-prediction tools are used only to route students to counselors and tutors.
Finally, you can use unplugged logic activities. Build computational thinking at home without screens by using physical games and mapping exercises. These offline activities are just as effective as digital coding platforms for developing logical reasoning.