Digital Book of Experiences - AI-Proof
AI through real experiences. Different voices. Your perspective.
Artificial intelligence is changing how we learn, work, communicate and experience the world. But what does this really mean for us? How much do we understand about AI, and are we ready to navigate its opportunities and challenges?
The AI.Proof Digital Book of Experiences brings together real-life experiences, personal reflections and insights from AI experts and enthusiasts across Europe. Through thought-provoking questions and different perspectives, it invites you to explore how AI is shaping our everyday lives, understand its possibilities and limitations, and think critically about its impact on society.
Whether you’re a young person curious about AI or a youth worker looking for inspiration and fresh ideas, this is a space to discover, question and form your own opinions.
Explore the experiences
Discover six themes covering everything from everyday encounters with AI and ethical dilemmas to future opportunities and continuous learning. Choose a topic, explore the questions that interest you and discover how others see and experience AI.
You don’t need to be an AI expert. Just bring your curiosity!
Explore the six themes
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Daily Encounters With AI
1.1- What are some everyday situations in which algorithms may influence what people see, choose or do, for example, when using social media, online shopping, navigation apps or streaming services?
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- Identify a device, digital tool or feature that uses AI in a way many users may not recognise. What does the AI do in this example?
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- In simple terms, what is artificial intelligence (AI), and how is machine learning related to it?2.3- Some AI systems learn through "neural networks"(computer systems that identify patterns by learning from many examples). How does these systems work in simple terms, and how are they loosely inspired by the human brain?
2.4- Can today’s AI truly “learn” or “think” like humans? Why or why not?
2.5- What is the difference between narrow AI and the idea of artificial general intelligence (AGI) in simple terms?
2.6- Why is good data more important than big data when training AI? (volume vs quality)
2.7- What are the main technical limitations of current AI systems, and what kinds of tasks or situations do they still struggle with? 2.8 What is the biggest misconception about generative AI for you? -
Ethical & Societal Implications
3.1- What should people be careful about sharing, when using AI tools?
3.2- What causes bias in AI systems? Can bias ever be eliminated completely?
3.3- When an AI-driven decision harms an individual, who is responsible? (e.g., the developers, the organisation using it, the person operating it?)
3.4- How might using AI reinforce existing inequalities (e.g. in hiring, credit scoring, law enforcement, etc)?
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 vast amounts of energy, how do we balance the drive for innovation with environmental sustainability?
3.7- Should private business or everyday citizens decide the future of AI, and how can the public have a say in AI governance? ("AI governance" simply means the official rules, regulations, and public policies, that decide what AI can and cannot be used for) -
Getting Started with AI – Pathways for Newcomers
4.1- What simple AI-based activity could a beginner try at home to understand how AI works in practice? Give one example.
4.2- What essential tools, AI communities or courses about AI would you still recommend in 2026?
4.3- How do you decide whether an AI tutorial or course is worth your time?
4.4- Think about when you first started using AI: what surprised or impressed you, what did you find difficult or frustrating, and what encouraged you to continue using it?
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?
4.7- How can we distinguish between human vs AI-made content (in text, images and/or video)?
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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- As AI becomes more widely used, which skills will become more important for people to develop, for example, critical thinking, creativity, communication or decision-making?
5.3- Which jobs or work tasks might disappear, change significantly or be performed differently because of AI and 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- Which sources—such as newsletters, podcasts, experts or news outlets—do you use to find reliable news and updates about AI?
6.2- What “red flags” tell you an AI claim is probably overblown? could help newcomers how to be more conscious around AI6.3- How do you manage to stay up-to-date in such a fast-moving field?
6.4- Name one community - online or offline - where newcomers can safely ask “simple” questions.