Research Questions - AI-Proof

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?

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)?

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?
4.5- 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?

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 learning mindset or habits have helped you stay current in such a fast-moving field?
4.6- What common mistakes do beginners make, and how can they avoid them?

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?

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.