AI for Everyday Life:
Ethics, Safety & Creativity

1. AI Literacy with Values: Ethics, Safety & Creativity
2. Help Your Child Become a Responsible AI User
3. Smart Tech Skills with a Strong Moral Compass

Ages(8-12)

a little boy

AI for Everyday Life: Ethics, Safety & Creativity

Ages(8-12)

1. AI Literacy with Values: Ethics, Safety & Creativity
2. Help Your Child Become a Responsible AI User
3. Smart Tech Skills with a Strong Moral Compass

AI for Everyday Life: Ethics, Safety & Creativity

Ages(8-12)

1. AI Literacy with Values: Ethics, Safety & Creativity
2. Help Your Child Become a Responsible AI User
3. Smart Tech Skills with a Strong Moral Compass

Ages(6-12)

a little boy

What AI Insights Will Kids Gain?

This course instructs children on evaluating AI applications in everyday life and designing solutions with ethical responsibility. Students will learn about the basics of AI, including how it works and its potential impacts on society. 

The program includes hands-on projects where children can create their own simple AI models, discussions about real-world examples of AI use, and lessons on the importance of ethics and safety in technology.

AI for Everyday Life: Ethics, Safety & Creativity

Ages 9-13

What AI Insights Will Kids Gain?

Course Levels

Level 1: Capabilities and Limitations of AI

Applications in smart homes, social media, and gaming


Examination of AI limitations


Group discussions


Real-world case studies on AI applications


Guest lectures from industry experts

Level 2: Bias, Safety, and Informed Decisions

Analysis of fairness in facial recognition technology

 

Issues concerning privacy and safety

 

Development of a responsible AI narrative

 

Exploration of AI ethics and societal impacts

 

Hands-on workshops on implementing fair AI practices

 

Level 3: Designing a Responsible AI Solution

Creation of empathy maps and user stories

 

Design AI solutions addressing social issues

 

Presentation to an evaluative panel (mock pitch)

 

Collaboration with non-profit organizations for real-world problem-solving

 

Development of prototype AI systems

Assessment Methods

Debates or group projects

 

Ethical AI design documentation

 

Final team presentation

 

Peer reviews and feedback sessions

 

Continuous assessment through quizzes and reflective journals

 

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