Digital Book of Experiences - AI-Proof
About the AI.Proof Project
AI.Proof is Preparing youth and (civil) society for the risks and opportunities of AI. This is a European initiative that aims to raise awareness, build knowledge, and empower young people and youth workers to understand and critically engage with Artificial Intelligence. The project explores both the opportunities AI creates and the challenges and risks it brings for society.
Digital Boof of Experiences
The AI.Proof Digital Book of Experiences brings together testimonials, insights and real-life perspectives from AI experts and enthusiasts across Europe. Designed as an accessible starting point for anyone exploring the world of AI, it aims to spark curiosity, support continuous learning and encourage critical reflection on AI and its impact on society. The responses are organised around different questions and topics, allowing you to explore a wide range of experiences and perspectives on AI.
Explore the Experiences
Browse the categories below to discover the collected responses and explore the different perspectives shared throughout the project.
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Daily Encounters With AI
1.1- Think about the last 24 hours - where did an algorithm help you, even invisibly?
1.2- What AI-powered tools or features do you consciously rely on at work or at home, and why?
1.3- Have you ever chosen not to use an AI tool? What made you hesitate?
1.4- Show us a screen, gadget, or routine that most people don’t realise is AI-driven.
1.5- Describe a moment when an AI suggestion was wrong -but you almost accepted it. What stopped you?
1.6- What are some surprising or lesser-known ways that AI is being used in everyday life?
1.7- What risks do you see in over-relying on AI for daily decisions or tasks?
1.8- What do you think is the most misunderstood aspect of AI among non-experts? -
Understanding AI – Concepts, Capabilities & Limits
2.1- In one sentence, how would you explain “artificial intelligence” to a 10-year-old?
2.2- How would you differentiate AI, machine learning and neural networks for complete beginners?
2.3- What are neural networks, and how (roughly) do they mimic some features of the human brain?
2.4- Can today’s AI truly “learn” or “think” like humans? Why or why not?
2.5- Explain the difference between narrow AI and the idea of artificial general intelligence (AGI) in everyday language.
2.6- Why is good data more important than big data when training AI? (volume vs quality)
2.7- What are the main technical or conceptual limitations of current AI systems?
2.8 What is the biggest misconception you have heard about generative AI (e.g., ChatGPT, DALL-E)? -
Ethical & Societal Implications
3.1- Which privacy concerns should people keep in mind when interacting with AI-enabled services?
3.2- What causes bias in AI systems? Can bias ever be eliminated completely?
3.3- When an AI-driven decision harms someone, who should fix the problem
3.4- How might using AI in hiring, credit scoring or law enforcement reinforce existing inequalities?
3.5- In what ways could unequal access to AI tools widen social or economic gaps between groups or nations?
3-6- AI systems consume energy—how do we balance innovation with environmental sustainability?
3.7- How can citizens (not just experts) have a say in AI governance?
3.8- What personally worries you most about AI’s future - and what gives you hope? -
Getting Started with AI – Pathways for Newcomers
4.1- Suggest one low-risk “weekend project” a beginner could do to feel AI in action.
4.2- What essential tools, communities or courses would you still recommend in 2025?
4.3- How do you decide whether an AI tutorial or course is worth your time?
4.4- Describe your first ‘aha!’ and your first frustration with AI - what kept you going?
4.5- What are the emotional consequences of using AI too much?4.6- What common mistakes do beginners make, and how can they avoid them?
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Future Prospects with AI
5.1- How do you think AI will reshape the job market over the next decade?
5.2- What new human skills become more valuable because AI is improving?
5.3- What roles or tasks might become obsolete - or radically reinvented - through automation?
5.4- Where do you see the biggest opportunities for AI to tackle global issues such as climate change, healthcare or food security?
5.5- What potential risks do you foresee if AI becomes significantly more autonomous?
5.6- If you could add one global rule or principle to guide AI development, what would it be and why?
5.7- What worries you personally about AI’s future - and what gives you hope? -
Keeping Up With AI Continuous Learning and Hype-Filtering
6.1- What sources (newsletters, podcasts, people) do you trust for accurate AI updates?
6.2- What “red flags” tell you an AI claim is probably overblown? could help newcomers how to be more conscious around AI
6.3- Name one community - online or offline - where newcomers can safely ask “simple” questions.