AI and Machine learning is all around us. We all use machine learning systems every day – such as spam filters, recommendation engines, language translation services, chatbots and digital assistants, search engines, and fraud detection systems.
It will soon be normal for machine learning systems to drive our cars, and help doctors to diagnose and treat our illnesses.
It’s important that kids are aware of how our world works. The best way to understand the capabilities and implications is to be able to build with this technology for themselves.
Below are some of the links to the top resources available online for teaching AI and Machine Learning to your kids.
TOP 10 Best AI and Machine Learning Resources For Kids
Description: This free tool introduces machine learning by providing hands-on experiences for training machine learning systems and building things with them.
It provides an easy-to-use guided environment for training machine learning models to recognise text, numbers, images, or sounds.
This builds on existing efforts to introduce and teach coding to children, by adding these models to educational coding platforms Scratch and App Inventor, and helping children create projects and build games with the machine learning models they train.
The tool was first made available in 2017, and is now being used by thousands of schools, code clubs, and families around the world.
Project Link: https://machinelearningforkids.co.uk/#!/worksheets
Description: Experiments with Google is an open-source platform for incredible coders and designers creating extraordinary projects on AR, VR, AI, arts and more.
Here are list of experiments to explore, with new ones added every week. Have great fun.
Project Link: Teachable Machines- https://experiments.withgoogle.com/teachable-machine
Project Link: MixLab– https://experiments.withgoogle.com/mixlab
Project Link: Voice– https://experiments.withgoogle.com/collection/voice
Project Link: Augmented Reality- https://experiments.withgoogle.com/collection/ar
Project Link: Chrome Experiments- https://experiments.withgoogle.com/collection/chrome
Description: Cognimates builds on multiple parts (including the visual programming language) of the Scratch open-source platform, created by the Lifelong Kindergarten group at the MIT Media Lab.
The main goal of the Cognimates platform is to extend coding to AI education and literacy.
Project Link : http://cognimates.me/projects/
Description: The eCraft2Learn project has researched, designed, piloted and validated an ecosystem based on digital fabrication and making technologies for creating computer-supported artefacts.
The eCraft2Learn ecosystem supports both formal and informal learning by providing the appropriate digital fabrication.
Project Link: https://ecraft2learn.github.io/ai/
Description: Apps for Good are a UK-based not-for-profit that creates resources for teaching technology subjects, that
they make freely available to schools.
Apps for Good was delivered in just one school and one community centre in London, with a focus on using mobile apps – as they were emerging technology at the time.
Project Link: https://www.appsforgood.org/courses/machine-learning
Description: The aim of the AIinSchools programme is to demystify the topic of Artificial Intelligence and to provide free, accessible resources for teachers for usage within the classroom.
Project Link: http://aiinschools.com/resources/
ReadyAI is the first comprehensive K-12 AI education company to create an “out of the box ready” and complete program to teach AI. Their mission is to provide AI education that empowers students to use AI to change the world.
The kit covers topics like visual recognition, facial recognition, speech generation and speech recognition.
Project Link: https://www.readyai.org/readyai-you/ai-in-a-box/
Description: AI & Machine Learning Education Tools Powered by the Dalton Learning Lab to teach Artificial Intelligence to children using the widely adopted programming language scratch.
Project Link: https://www.ai4children.org/
childsafe.ai is the world’s first artificial intelligence platform for monitoring, graphing and modeling child exploitation risk on the Web.
In use by law enforcement agencies around the United States, childsafe.ai actively collects signal of exploitation threats from online ecosystems where they are known to occur, modeling that signal into probable risk.
Observing millions of conversation, content and photographic signals, childsafe.ai enables your organization to know what risk an online user represents to children.
Project Link Signup: https://childsafe.ai/beta-signup
Description: YoungWonks is a top Computer Programming (coding) and Engineering Program for kids and teens in the San Francisco Bay Area. YoungWonks computer programming and engineering classes are attended by students living in all corners of the Bay Area and from schools all over the Bay Area.
The program is structured in levels and steps with initial levels focused on building storing foundational computer science fundamentals.
YoungWonks Cutting-edge curriculum is based on latest software and latest Internet of things (IOT) hardware to build cool robotics and automation projects.
Children love games and are always keen to build their own games. Games are an incredible way to teach many computer science concepts and programming skills. Game Development is an important part of the YoungWonks curriculum.
Project Link : https://www.youngwonks.com/machine-learning-ai-programming